Joint Declaration: The freedom of science is at the heart of liberal, democratic societies. Without this freedom, it is impossible for scientific efforts to be geared toward gaining knowledge and facts. It is therefore extremely worrying that the scientific freedom is coming under increasing pressure in various regions of the world. (read more)

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Rongrong Ji

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affiliation: Xiamen University, Xiamen, China
affiliation: Columbia University, New York, NY, USA

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2020 – today

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2025
[j213]
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Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji:
Distribution-flexible subset quantization for post-quantizing super-resolution networks. Sci. China Inf. Sci. 68(3) (2025)
[j212]
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Qian Chen, Zihang Lin, Xudong Li, Jingyuan Zheng, Yan Zhang, Rongrong Ji:
Multi-scale and contrastive learning for pediatric chest radiograph classification tasks. Displays 87: 102951 (2025)
[j211]
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Qian Chen, Lvhai Chen, Wenjie Nie, Xudong Li, Jingyuan Zheng, Jiajun Zhong, Yihua Wei, Yan Zhang, Rongrong Ji:
A mixed-scale dynamic attention transformer for pediatric pneumonia diagnosis. Displays 87: 102953 (2025)
[j210]
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Pengchong Qiao, Yu Wang, Chang Liu, Lei Shang, Baigui Sun, Zhennan Wang, Xiawu Zheng, Rongrong Ji, Jie Chen:
Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation. Int. J. Comput. Vis. 133(3): 1048-1066 (2025)
[j209]
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Ke Sun, Shen Chen, Taiping Yao, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji:
Continual Face Forgery Detection via Historical Distribution Preserving. Int. J. Comput. Vis. 133(3): 1067-1084 (2025)
[j208]
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Xianzhu Liu, Haozhe Xie, Shengping Zhang, Hongxun Yao, Rongrong Ji, Liqiang Nie, Dacheng Tao:
2D Semantic-Guided Semantic Scene Completion. Int. J. Comput. Vis. 133(3): 1306-1325 (2025)
[j207]
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Ke Sun, Shen Chen, Taiping Yao, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji:
Correction: Continual Face Forgery Detection via Historical Distribution Preserving. Int. J. Comput. Vis. 133(4): 2246 (2025)
[j206]
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Yifan Feng, Jiangang Huang, Shaoyi Du, Shihui Ying, Jun-Hai Yong, Yipeng Li, Guiguang Ding, Rongrong Ji, Yue Gao:
Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2388-2401 (2025)
[j205]
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Jiayi Ji, Haowei Wang, Changli Wu, Yiwei Ma, Xiaoshuai Sun, Rongrong Ji:
JM3D & JM3D-LLM: Elevating 3D Representation With Joint Multi-Modal Cues. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2475-2492 (2025)
[j204]
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Yunshan Zhong, You Huang, Jiawei Hu, Yuxin Zhang, Rongrong Ji:
Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2676-2692 (2025)
[j203]
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Ke Sun, Zhongxi Chen, Xianming Lin, Xiaoshuai Sun, Hong Liu, Rongrong Ji:
Conditional Diffusion Models for Camouflaged and Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2833-2848 (2025)
[j202]
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Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Zhou Su, Xiaopeng Hong, Deyu Meng:
Semi-Supervised Counting via Pixel-by-Pixel Density Distribution Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3625-3638 (2025)
[j201]
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Yinan Li, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Yunpeng Luo, Rongrong Ji:
M3ixup: A multi-modal data augmentation approach for image captioning. Pattern Recognit. 158: 110941 (2025)
[j200]
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Yunshan Zhong, Yuyao Zhou, Fei Chao, Rongrong Ji:
MBQuant: A novel multi-branch topology method for arbitrary bit-width network quantization. Pattern Recognit. 158: 111061 (2025)
[j199]
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Yubin Gu, Siting Chen, Xiaoshuai Sun, Jiayi Ji, Yiyi Zhou, Rongrong Ji:
Optical remote sensing image salient object detection via bidirectional cross-attention and attention restoration. Pattern Recognit. 164: 111478 (2025)
[j198]
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Xiaohui Chu, Hantao Zhou, Yan Zhang, Yachao Zhang, Runze Hu, Haoran Duan, Yawen Huang, Yefeng Zheng, Rongrong Ji:
Attention-driven acoustic properties learning for underwater target ranging. Pattern Recognit. 164: 111560 (2025)
[j197]
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Shuai Guo, Lei Shi, Xiaoheng Jiang, Pei Lv, Qidong Liu, Yazhou Hu, Rongrong Ji, Mingliang Xu:
An Efficient Ungrouped Mask Method With two Learnable Parameters for 3D Object Detection. IEEE Trans. Multim. 27: 1003-1017 (2025)
[j196]
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  - journals/tnn/WuLDYCWJ25
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Qiong Wu, Jiahan Li, Pingyang Dai, Qixiang Ye, Liujuan Cao, Yongjian Wu, Rongrong Ji:
Unsupervised Domain Adaptation on Person Reidentification Via Dual-Level Asymmetric Mutual Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1371-1382 (2025)
[j195]
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Baochang Zhang, Runqi Wang, Xiaodi Wang, Jungong Han, Rongrong Ji:
Modulated Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 36(3): 3916-3929 (2025)
[j194]
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Qiong Wu, Jiaer Xia, Pingyang Dai, Yiyi Zhou, Yongjian Wu, Rongrong Ji:
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5469-5479 (2025)
[j193]
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Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Xiaopeng Hong, Yongjian Wu, Rongrong Ji:
Image Captioning via Dynamic Path Customization. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6203-6217 (2025)
[j192]
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Zhiwei Chen, Siwei Wang, Liujuan Cao, Yunhang Shen, Rongrong Ji:
Adaptive Zone Learning for Weakly Supervised Object Localization. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7211-7224 (2025)
[c355]
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  - conf/aaai/LinLLJ25
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Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji:
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference. AAAI 2025: 5334-5342
[c354]
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  - conf/coling/WuWZWZLLJ25
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Suhuang Wu, Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng, Wei Li, Hui Li, Rongrong Ji:
Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs. COLING 2025: 1057-1068
[i292]
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  - journals/corr/abs-2501-01235
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Zhiyao Wang, Xu Chen, Chengming Xu, Junwei Zhu, Xiaobin Hu, Jiangning Zhang, Chengjie Wang, Yuqi Liu, Yiyi Zhou, Rongrong Ji:
SVFR: A Unified Framework for Generalized Video Face Restoration. CoRR abs/2501.01235 (2025)
[i291]
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  - journals/corr/abs-2501-01957
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Chaoyou Fu, Haojia Lin, Xiong Wang, Yifan Zhang, Yunhang Shen, Xiaoyu Liu, Haoyu Cao, Zuwei Long, Heting Gao, Ke Li, Long Ma, Xiawu Zheng, Rongrong Ji, Xing Sun, Caifeng Shan, Ran He:
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction. CoRR abs/2501.01957 (2025)
[i290]
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  - journals/corr/abs-2501-18672
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Yansong Qu, Dian Chen, Xinyang Li, Xiaofan Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting. CoRR abs/2501.18672 (2025)
[i289]
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  - journals/corr/abs-2502-05177
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Yunhang Shen, Chaoyou Fu, Shaoqi Dong, Xiong Wang, Yifan Zhang, Peixian Chen, Mengdan Zhang, Haoyu Cao, Ke Li, Xiawu Zheng, Yan Zhang, Yiyi Zhou, Ran He, Caifeng Shan, Rongrong Ji, Xing Sun:
Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy. CoRR abs/2502.05177 (2025)
[i288]
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  - journals/corr/abs-2502-05433
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Shuheng Zhang, Yuqi Liu, Hongbo Zhou, Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji:
AdaFlow: Efficient Long Video Editing via Adaptive Attention Slimming And Keyframe Selection. CoRR abs/2502.05433 (2025)
[i287]
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  - journals/corr/abs-2502-05843
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Yuhui Zeng, Haoxiang Wu, Wenjie Nie, Guangyao Chen, Xiawu Zheng, Yunhang Shen, Guilin Li, Yixiong Zou, Yonghong Tian, Rongrong Ji:
Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery. CoRR abs/2502.05843 (2025)
[i286]
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  - journals/corr/abs-2502-12627
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Tanzhe Li, Caoshuo Li, Jiayi Lyu, Hongjuan Pei, Baochang Zhang, Taisong Jin, Rongrong Ji:
DAMamba: Vision State Space Model with Dynamic Adaptive Scan. CoRR abs/2502.12627 (2025)
[i285]
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  - journals/corr/abs-2502-14413
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Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji:
Towards Efficient Automatic Self-Pruning of Large Language Models. CoRR abs/2502.14413 (2025)
[i284]
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  - journals/corr/abs-2502-14770
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Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji:
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective. CoRR abs/2502.14770 (2025)
[i283]
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  - journals/corr/abs-2502-14816
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Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji:
Dynamic Low-Rank Sparse Adaptation for Large Language Models. CoRR abs/2502.14816 (2025)
[i282]
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  - journals/corr/abs-2502-20698
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Ke Sun, Shen Chen, Taiping Yao, Ziyin Zhou, Jiayi Ji, Xiaoshuai Sun, Chia-Wen Lin, Rongrong Ji:
Towards General Visual-Linguistic Face Forgery Detection(V2). CoRR abs/2502.20698 (2025)
[i281]
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  - journals/corr/abs-2503-06508
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Quanjian Song, Zhihang Lin, Zhanpeng Zeng, Ziyue Zhang, Liujuan Cao, Rongrong Ji:
LightMotion: A Light and Tuning-free Method for Simulating Camera Motion in Video Generation. CoRR abs/2503.06508 (2025)
[i280]
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  - journals/corr/abs-2503-07253
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Zhangyu Lai, Yilin Lu, Xinyang Li, Jianghang Lin, Yansong Qu, Liujuan Cao, Ming Li, Rongrong Ji:
AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis. CoRR abs/2503.07253 (2025)
[i279]
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  - journals/corr/abs-2503-08689
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Yongdong Luo, Wang Chen, Xiawu Zheng, Weizhong Huang, Shukang Yin, Haojia Lin, Chaoyou Fu, Jinfa Huang, Jiayi Ji, Jiebo Luo, Rongrong Ji:
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension. CoRR abs/2503.08689 (2025)
[i278]
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  - journals/corr/abs-2503-12799
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Qiong Wu, Xiangcong Yang, Yiyi Zhou, Chenxin Fang, Baiyang Song, Xiaoshuai Sun, Rongrong Ji:
Grounded Chain-of-Thought for Multimodal Large Language Models. CoRR abs/2503.12799 (2025)
[i277]
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  - journals/corr/abs-2503-17671
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Oucheng Huang, Yuhang Ma, Zeng Zhao, Mingrui Wu, Jiayi Ji, Rongsheng Zhang, Zhipeng Hu, Xiaoshuai Sun, Rongrong Ji:
ComfyGPT: A Self-Optimizing Multi-Agent System for Comprehensive ComfyUI Workflow Generation. CoRR abs/2503.17671 (2025)
[i276]
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  - journals/corr/abs-2503-20502
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Yiwei Ma, Guohai Xu, Xiaoshuai Sun, Jiayi Ji, Jie Lou, Debing Zhang, Rongrong Ji:
MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning. CoRR abs/2503.20502 (2025)
[i275]
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  - journals/corr/abs-2503-22342
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Zhihang Lin, Mingbao Lin, Yuan Xie, Rongrong Ji:
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models. CoRR abs/2503.22342 (2025)
2024
[j191]
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Shaohui Lin, Bo Ji, Rongrong Ji, Angela Yao:
A closer look at branch classifiers of multi-exit architectures. Comput. Vis. Image Underst. 239: 103900 (2024)
[j190]
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Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yongjian Wu, Yue Gao, Rongrong Ji:
Towards Language-Guided Visual Recognition via Dynamic Convolutions. Int. J. Comput. Vis. 132(1): 1-19 (2024)
[j189]
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Bingjie Liu, Qiancheng Zheng, Heng Wei, Jinxian Zhao, Haoyuan Yu, Yiyi Zhou, Fei Chao, Rongrong Ji:
Deep hybrid transformer network for robust modulation classification in wireless communications. Knowl. Based Syst. 300: 112191 (2024)
[j188]
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Xiaohang Liu, Wei Chen, Yu Qiu, Xiang Li, Fei Liu, Zhili Jiang, Fuwei Jia, Chenggang Wang, Rongrong Ji, Tawquir R. Nawaz, Dingding Zhang, Yong Zeng, Hai Gao, Jeffrey Hsu:
Improving access to cardiovascular care for 1.4 billion people in China using telehealth. npj Digit. Medicine 7(1) (2024)
[j187]
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Tianshuo Xu, Lijiang Li, Peng Mi, Xiawu Zheng, Fei Chao, Rongrong Ji, Yonghong Tian, Qiang Shen:
Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6199-6215 (2024)
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Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6525-6541 (2024)
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Yimin Xu, Mingbao Lin, Hong Yang, Fei Chao, Rongrong Ji:
Shadow-aware dynamic convolution for shadow removal. Pattern Recognit. 146: 109969 (2024)
[j184]
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Yimin Xu, Nanxi Gao, Fei Chao, Rongrong Ji:
An efficient blur kernel estimation method for blind image Super-Resolution. Pattern Recognit. 154: 110590 (2024)
[j183]
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Xiantao Hu, Bineng Zhong, Qihua Liang, Shengping Zhang, Ning Li, Xianxian Li, Rongrong Ji:
Transformer Tracking via Frequency Fusion. IEEE Trans. Circuits Syst. Video Technol. 34(2): 1020-1031 (2024)
[j182]
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Jiaxin Ye, Bineng Zhong, Qihua Liang, Shengping Zhang, Xianxian Li, Rongrong Ji:
Positive-Sample-Free Object Tracking via a Soft Constraint. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1364-1375 (2024)
[j181]
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Yaozong Zheng, Bineng Zhong, Qihua Liang, Guorong Li, Rongrong Ji, Xianxian Li:
Toward Unified Token Learning for Vision-Language Tracking. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2125-2135 (2024)
[j180]
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Zonglin Li, Zhaoxin Zhang, Shengfeng He, Quanling Meng, Shengping Zhang, Bineng Zhong, Rongrong Ji:
Identity-Aware Variational Autoencoder for Face Swapping. IEEE Trans. Circuits Syst. Video Technol. 34(7): 5466-5479 (2024)
[j179]
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Huafeng Kuang, Hong Liu, Xianming Lin, Rongrong Ji:
Defense Against Adversarial Attacks Using Topology Aligning Adversarial Training. IEEE Trans. Inf. Forensics Secur. 19: 3659-3673 (2024)
[j178]
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Jinyu Yang, Mingqi Gao, Feng Zheng, Xiantong Zhen, Rongrong Ji, Ling Shao, Ales Leonardis:
Weakly-Supervised RGBD Video Object Segmentation. IEEE Trans. Image Process. 33: 2158-2170 (2024)
[j177]
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Wengyi Zhan, Mingbao Lin, Chia-Wen Lin, Rongrong Ji:
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource. IEEE Trans. Image Process. 33: 6564-6578 (2024)
[j176]
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Haixin Ding, Shengchuan Zhang, Qiong Wu, Songlin Yu, Jie Hu, Liujuan Cao, Rongrong Ji:
Bilateral Knowledge Interaction Network for Referring Image Segmentation. IEEE Trans. Multim. 26: 2966-2977 (2024)
[j175]
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Shuman Fang, Zhiwen Lin, Ke Yan, Jie Li, Xianming Lin, Rongrong Ji:
HODN: Disentangling Human-Object Feature for HOI Detection. IEEE Trans. Multim. 26: 3125-3136 (2024)
[j174]
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Gen Luo, Yiyi Zhou, Jiamu Sun, Xiaoshuai Sun, Rongrong Ji:
A Survivor in the Era of Large-Scale Pretraining: An Empirical Study of One-Stage Referring Expression Comprehension. IEEE Trans. Multim. 26: 3689-3700 (2024)
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Mingrui Wu, Yuqi Liu, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji:
Toward Open-Set Human Object Interaction Detection. AAAI 2024: 6066-6073
[c352]
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Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji:
Learning Image Demoiréing from Unpaired Real Data. AAAI 2024: 7623-7631
[c351]
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Tao Chen, Ze Lin, Hui Li, Jiayi Ji, Yiyi Zhou, Guanbin Li, Rongrong Ji:
MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization. LREC/COLING 2024: 11429-11439
[c350]
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You Huang, Zongyu Lan, Liujuan Cao, Xianming Lin, Shengchuan Zhang, Guannan Jiang, Rongrong Ji:
FocSAM: Delving Deeply into Focused Objects in Segmenting Anything. CVPR 2024: 3120-3130
[c349]
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Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen:
GraCo: Granularity-Controllable Interactive Segmentation. CVPR 2024: 3501-3510
[c348]
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Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji:
UniPTS: A Unified Framework for Proficient Post-Training Sparsity. CVPR 2024: 5746-5755
[c347]
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Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji:
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. CVPR 2024: 6390-6399
[c346]
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Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji:
Aligning and Prompting Everything All at Once for Universal Visual Perception. CVPR 2024: 13193-13203
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Jinxia Xie, Bineng Zhong, Zhiyi Mo, Shengping Zhang, Liangtao Shi, Shuxiang Song, Rongrong Ji:
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers. CVPR 2024: 19300-19309
[c344]
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Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji:
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation. CVPR 2024: 26648-26658
[c343]
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Xu Peng, Junwei Zhu, Boyuan Jiang, Ying Tai, Donghao Luo, Jiangning Zhang, Wei Lin, Taisong Jin, Chengjie Wang, Rongrong Ji:
PortraitBooth: A Versatile Portrait Model for Fast Identity-Preserved Personalization. CVPR 2024: 27070-27080
[c342]
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Zhihang Lin, Mingbao Lin, Meng Zhao, Rongrong Ji:
AccDiffusion: An Accurate Method for Higher-Resolution Image Generation. ECCV (6) 2024: 38-53
[c341]
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Xudong Wang, Ke-Yue Zhang, Taiping Yao, Qianyu Zhou, Shouhong Ding, Pingyang Dai, Rongrong Ji:
TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-spoofing. ECCV (7) 2024: 148-168
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Danni Yang, Ruohan Dong, Jiayi Ji, Yiwei Ma, Haowei Wang, Xiaoshuai Sun, Rongrong Ji:
Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model. ECCV (53) 2024: 161-180
[c339]
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Zhongxi Chen, Shen Chen, Taiping Yao, Ke Sun, Shouhong Ding, Xianming Lin, Liujuan Cao, Rongrong Ji:
Enhancing Tampered Text Detection Through Frequency Feature Fusion and Decomposition. ECCV (33) 2024: 200-217
[c338]
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Zhipeng Qian, Yiwei Ma, Zhekai Lin, Jiayi Ji, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji:
Multi-branch Collaborative Learning Network for 3D Visual Grounding. ECCV (46) 2024: 381-398
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Xiaobin Hu, Xu Peng, Donghao Luo, Xiaozhong Ji, Jinlong Peng, Zhengkai Jiang, Jiangning Zhang, Taisong Jin, Chengjie Wang, Rongrong Ji:
DiffuMatting: Synthesizing Arbitrary Objects with Matting-Level Annotation. ECCV (68) 2024: 396-413
[c336]
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Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji:
CamoTeacher: Dual-Rotation Consistency Learning for Semi-supervised Camouflaged Object Detection. ECCV (45) 2024: 438-455
[c335]
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Mengjun Cheng, Chengquan Zhang, Chang Liu, Yuke Li, Bohan Li, Kun Yao, Xiawu Zheng, Rongrong Ji, Jie Chen:
Textual Grounding for Open-Vocabulary Visual Information Extraction in Layout-Diversified Documents. ECCV (45) 2024: 474-491
[c334]
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Zhipeng Qian, Pei Zhang, Baosong Yang, Kai Fan, Yiwei Ma, Derek F. Wong, Xiaoshuai Sun, Rongrong Ji:
AnyTrans: Translate AnyText in the Image with Large Scale Models. EMNLP (Findings) 2024: 2432-2444
[c333]
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Sheng Zhang, Hui Li, Rongrong Ji:
Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models. EMNLP (Findings) 2024: 10593-10603
[c332]
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Binghan Chen, Jianlong Hu, Xiawu Zheng, Wei Lin, Fei Chao, Rongrong Ji:
Functionally Similar Multi-Label Knowledge Distillation. ICASSP 2024: 7210-7214
[c331]
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Jinyu He, Xiaowei Song, Xiaohan Yan, Nan Wang, Yuqi Miao, Zijian Jiang, Fei Chao, Yan Zhang, Shengchuan Zhang, Rongrong Ji:
GreedyAgent: Crafting Efficient Agents for Meta-learning from Learning Curves via Greedy Algorithm Selection. ICIC (LNAI 1) 2024: 488-499
[c330]
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Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji:
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. ICLR 2024
[c329]
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Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji:
Exploring Target Representations for Masked Autoencoders. ICLR 2024
[c328]
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Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji:
AffineQuant: Affine Transformation Quantization for Large Language Models. ICLR 2024
[c327]
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Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji:
CaM: Cache Merging for Memory-efficient LLMs Inference. ICML 2024
[c326]
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Jinlu Zhang, Yiyi Zhou, Qiancheng Zheng, Xiaoxiong Du, Gen Luo, Jun Peng, Xiaoshuai Sun, Rongrong Ji:
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization. ICML 2024
[c325]
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Xudong Li, Timin Gao, Runze Hu, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Rongrong Ji:
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity. ICML 2024
[c324]
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Xudong Li, Runze Hu, Jingyuan Zheng, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Ke Li, Yunhang Shen, Yutao Liu, Pingyang Dai, Rongrong Ji:
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment. ICML 2024
[c323]
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Yiwei Ma, Zhekai Lin, Jiayi Ji, Yijun Fan, Xiaoshuai Sun, Rongrong Ji:
X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation. ICML 2024
[c322]
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Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji:
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer. ICML 2024
[c321]
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Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu, Xiaoshuai Sun, Rongrong Ji:
Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models. ICML 2024
[c320]
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Danni Yang, Jiayi Ji, Yiwei Ma, Tianyu Guo, Haowei Wang, Xiaoshuai Sun, Rongrong Ji:
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation. ICML 2024
[c319]
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Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji:
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. ICML 2024
[c318]
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Xiaorui Huang, Gen Luo, Chaoyang Zhu, Bo Tong, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji:
Deep Instruction Tuning for Segment Anything Model. ACM Multimedia 2024: 905-914
[c317]
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Pengfei Yue, Jianghang Lin, Shengchuan Zhang, Jie Hu, Yilin Lu, Hongwei Niu, Haixin Ding, Yan Zhang, Guannan Jiang, Liujuan Cao, Rongrong Ji:
Adaptive Selection based Referring Image Segmentation. ACM Multimedia 2024: 1101-1110
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Ziyin Zhou, Ke Sun, Zhongxi Chen, Huafeng Kuang, Xiaoshuai Sun, Rongrong Ji:
StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model. ACM Multimedia 2024: 3627-3636
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Shengxin Chen, Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Guannan Jiang, Rongrong Ji:
QueryMatch: A Query-based Contrastive Learning Framework for Weakly Supervised Visual Grounding. ACM Multimedia 2024: 4177-4186
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Yansong Qu, Shaohui Dai, Xinyang Li, Jianghang Lin, Liujuan Cao, Shengchuan Zhang, Rongrong Ji:
GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane. ACM Multimedia 2024: 5328-5337
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Jie Hu, Jie Li, Yue Ma, Liujuan Cao, Songan Zhang, Wei Zhang, Guannan Jiang, Rongrong Ji:
Prompting to Adapt Foundational Segmentation Models. ACM Multimedia 2024: 7104-7112
[c312]
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Changli Wu, Yihang Liu, Jiayi Ji, Yiwei Ma, Haowei Wang, Gen Luo, Henghui Ding, Xiaoshuai Sun, Rongrong Ji:
3D-GRES: Generalized 3D Referring Expression Segmentation. ACM Multimedia 2024: 7852-7861
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Guilin Li, Mengdan Zhang, Xiawu Zheng, Peixian Chen, Zihan Wang, Yunhang Shen, Mingchen Zhuge, Chenglin Wu, Fei Chao, Ke Li, Xing Sun, Rongrong Ji:
Multimodal Inplace Prompt Tuning for Open-set Object Detection. ACM Multimedia 2024: 8062-8071
[c310]
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Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji:
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. ACM Multimedia 2024: 9096-9105
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Jingjing Xie, Yuxin Zhang, Mingbao Lin, Liujuan Cao, Rongrong Ji:
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation. ACM Multimedia 2024: 10582-10591
[c308]
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Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji:
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion. NeurIPS 2024
[c307]
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Yunpeng Gong, Zhun Zhong, Yansong Qu, Zhiming Luo, Rongrong Ji, Min Jiang:
Cross-Modality Perturbation Synergy Attack for Person Re-identification. NeurIPS 2024
[c306]
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Xinyang Li, Zhangyu Lai, Linning Xu, Yansong Qu, Liujuan Cao, Shengchuan Zhang, Bo Dai, Rongrong Ji:
Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text. NeurIPS 2024
[c305]
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Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Zhibin Wang, Yonghan Zheng, Qiang Zhou, Xiaoshuai Sun, Rongrong Ji:
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing. NeurIPS 2024
[c304]
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Lei Tan, Yukang Zhang, Keke Han, Pingyang Dai, Yan Zhang, Yongjian Wu, Rongrong Ji:
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification. NeurIPS 2024
[c303]
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Changli Wu, Qi Chen, Jiayi Ji, Haowei Wang, Yiwei Ma, You Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, Rongrong Ji:
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation. NeurIPS 2024
[c302]
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Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, Guannan Jiang, Xiaoshuai Sun, Rongrong Ji:
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models. NeurIPS 2024
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  - conf/prcv/2023-1
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14425, Springer 2024, ISBN 978-981-99-8428-2 [contents]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14426, Springer 2024, ISBN 978-981-99-8431-2 [contents]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14427, Springer 2024, ISBN 978-981-99-8434-3 [contents]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14428, Springer 2024, ISBN 978-981-99-8461-9 [contents]
[e9]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14429, Springer 2024, ISBN 978-981-99-8468-8 [contents]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14430, Springer 2024, ISBN 978-981-99-8536-4 [contents]
[e7]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14431, Springer 2024, ISBN 978-981-99-8539-5 [contents]
[e6]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14432, Springer 2024, ISBN 978-981-99-8542-5 [contents]
[e5]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14433, Springer 2024, ISBN 978-981-99-8545-6 [contents]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part X. Lecture Notes in Computer Science 14434, Springer 2024, ISBN 978-981-99-8548-7 [contents]
[e3]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XI. Lecture Notes in Computer Science 14435, Springer 2024, ISBN 978-981-99-8551-7 [contents]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XII. Lecture Notes in Computer Science 14436, Springer 2024, ISBN 978-981-99-8554-8 [contents]
[e1]
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Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII. Lecture Notes in Computer Science 14437, Springer 2024, ISBN 978-981-99-8557-9 [contents]
[i274]
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  - journals/corr/abs-2401-02719
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Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji:
Learning Image Demoireing from Unpaired Real Data. CoRR abs/2401.02719 (2024)
[i273]
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  - journals/corr/abs-2401-09732
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Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Chang Liu, Xiawu Zheng, Rongrong Ji, Jie Chen:
Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation. CoRR abs/2401.09732 (2024)
[i272]
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  - journals/corr/abs-2401-10090
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Yunpeng Gong, Zhun Zhong, Zhiming Luo, Yansong Qu, Rongrong Ji, Min Jiang:
Cross-Modality Perturbation Synergy Attack for Person Re-identification. CoRR abs/2401.10090 (2024)
[i271]
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  - journals/corr/abs-2401-11949
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Xudong Li, Jingyuan Zheng, Runze Hu, Yan Zhang, Ke Li, Yunhang Shen, Xiawu Zheng, Yutao Liu, Shengchuan Zhang, Pingyang Dai, Rongrong Ji:
Feature Denoising Diffusion Model for Blind Image Quality Assessment. CoRR abs/2401.11949 (2024)
[i270]
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  - journals/corr/abs-2401-13221
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Yimin Xu, Nanxi Gao, Zhongyun Shan, Fei Chao, Rongrong Ji:
Unified-Width Adaptive Dynamic Network for All-In-One Image Restoration. CoRR abs/2401.13221 (2024)
[i269]
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  - journals/corr/abs-2402-12419
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Song Guo, Fan Wu, Lei Zhang, Xiawu Zheng, Shengchuan Zhang, Fei Chao, Yiyu Shi, Rongrong Ji:
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs. CoRR abs/2402.12419 (2024)
[i268]
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  - journals/corr/abs-2402-15297
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Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Zhou Su, Xiaopeng Hong, Deyu Meng:
Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling. CoRR abs/2402.15297 (2024)
[i267]
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  - journals/corr/abs-2403-03003
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Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji:
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models. CoRR abs/2403.03003 (2024)
[i266]
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  - journals/corr/abs-2403-06168
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Xiaobin Hu, Xu Peng, Donghao Luo, Xiaozhong Ji, Jinlong Peng, Zhengkai Jiang, Jiangning Zhang, Taisong Jin, Chengjie Wang, Rongrong Ji:
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation. CoRR abs/2403.06168 (2024)
[i265]
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  - journals/corr/abs-2403-06702
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Jinlu Zhang, Yiyi Zhou, Qiancheng Zheng, Xiaoxiong Du, Gen Luo, Jun Peng, Xiaoshuai Sun, Rongrong Ji:
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization. CoRR abs/2403.06702 (2024)
[i264]
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  - journals/corr/abs-2403-10574
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Jinxia Xie, Bineng Zhong, Zhiyi Mo, Shengping Zhang, Liangtao Shi, Shuxiang Song, Rongrong Ji:
Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers. CoRR abs/2403.10574 (2024)
[i263]
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  - journals/corr/abs-2403-12362
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Jianlong Hu, Xu Chen, Zhenye Gan, Jinlong Peng, Shengchuan Zhang, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Liujuan Cao, Rongrong Ji:
DMAD: Dual Memory Bank for Real-World Anomaly Detection. CoRR abs/2403.12362 (2024)
[i262]
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  - journals/corr/abs-2403-12544
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Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji:
AffineQuant: Affine Transformation Quantization for Large Language Models. CoRR abs/2403.12544 (2024)
[i261]
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  - journals/corr/abs-2403-15226
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Qiong Wu, Weihao Ye, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji:
Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models. CoRR abs/2403.15226 (2024)
[i260]
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  - journals/corr/abs-2403-18471
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Zhongxi Chen, Ke Sun, Ziyin Zhou, Xianming Lin, Xiaoshuai Sun, Liujuan Cao, Rongrong Ji:
DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis. CoRR abs/2403.18471 (2024)
[i259]
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  - journals/corr/abs-2404-00650
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Xiaorui Huang, Gen Luo, Chaoyang Zhu, Bo Tong, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji:
Deep Instruction Tuning for Segment Anything Model. CoRR abs/2404.00650 (2024)
[i258]
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  - journals/corr/abs-2404-01342
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Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji:
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. CoRR abs/2404.01342 (2024)
[i257]
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Yongdong Luo, Haojia Lin, Xiawu Zheng, Yigeng Jiang, Fei Chao, Jie Hu, Guannan Jiang, Songan Zhang, Rongrong Ji:
Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization. CoRR abs/2404.11064 (2024)
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Dingming Liu, Shaowei Li, Ruoyan Zhou, Lili Liang, Yongguan Hong, Fei Chao, Rongrong Ji:
ConCLVD: Controllable Chinese Landscape Video Generation via Diffusion Model. CoRR abs/2404.12903 (2024)
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Chi Huang, Xinyang Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
NeRF-DetS: Enhancing Multi-View 3D Object Detection with Sampling-adaptive Network of Continuous NeRF-based Representation. CoRR abs/2404.13921 (2024)
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  - journals/corr/abs-2404-14949
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Wensheng Pan, Timin Gao, Yan Zhang, Runze Hu, Xiawu Zheng, Enwei Zhang, Yuting Gao, Yutao Liu, Yunhang Shen, Ke Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Multi-Modal Prompt Learning on Blind Image Quality Assessment. CoRR abs/2404.14949 (2024)
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Mingbao Lin, Zhihang Lin, Wengyi Zhan, Liujuan Cao, Rongrong Ji:
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method. CoRR abs/2404.15141 (2024)
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  - journals/corr/abs-2404-16033
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Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji:
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. CoRR abs/2404.16033 (2024)
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Ziyue Zhang, Mingbao Lin, Rongrong Ji:
ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion. CoRR abs/2404.17230 (2024)
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  - journals/corr/abs-2405-00587
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Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen:
GraCo: Granularity-Controllable Interactive Segmentation. CoRR abs/2405.00587 (2024)
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  - journals/corr/abs-2405-00954
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Yiwei Ma, Zhekai Lin, Jiayi Ji, Yijun Fan, Xiaoshuai Sun, Rongrong Ji:
X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation. CoRR abs/2405.00954 (2024)
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Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji:
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference. CoRR abs/2405.05803 (2024)
[i247]
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  - journals/corr/abs-2405-09874
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Xinyang Li, Zhangyu Lai, Linning Xu, Jianfei Guo, Liujuan Cao, Shengchuan Zhang, Bo Dai, Rongrong Ji:
Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion. CoRR abs/2405.09874 (2024)
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  - journals/corr/abs-2405-17596
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Yansong Qu, Shaohui Dai, Xinyang Li, Jianghang Lin, Liujuan Cao, Shengchuan Zhang, Rongrong Ji:
GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane. CoRR abs/2405.17596 (2024)
[i245]
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  - journals/corr/abs-2405-18706
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You Huang, Zongyu Lan, Liujuan Cao, Xianming Lin, Shengchuan Zhang, Guannan Jiang, Rongrong Ji:
FocSAM: Delving Deeply into Focused Objects in Segmenting Anything. CoRR abs/2405.18706 (2024)
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  - journals/corr/abs-2405-18810
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Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji:
UniPTS: A Unified Framework for Proficient Post-Training Sparsity. CoRR abs/2405.18810 (2024)
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  - journals/corr/abs-2405-21075
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Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun:
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR abs/2405.21075 (2024)
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  - journals/corr/abs-2406-00334
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Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Xiaopeng Hong, Yongjian Wu, Rongrong Ji:
Image Captioning via Dynamic Path Customization. CoRR abs/2406.00334 (2024)
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  - journals/corr/abs-2406-01451
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Danni Yang, Jiayi Ji, Yiwei Ma, Tianyu Guo, Haowei Wang, Xiaoshuai Sun, Rongrong Ji:
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation. CoRR abs/2406.01451 (2024)
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  - journals/corr/abs-2406-05620
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Yiwei Ma, Xiaoshuai Sun, Jiayi Ji, Guannan Jiang, Weilin Zhuang, Rongrong Ji:
Beat: Bi-directional One-to-Many Embedding Alignment for Text-based Person Retrieval. CoRR abs/2406.05620 (2024)
[i239]
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  - journals/corr/abs-2406-10228
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Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji:
VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models. CoRR abs/2406.10228 (2024)
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  - journals/corr/abs-2406-11432
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Zhipeng Qian, Pei Zhang, Baosong Yang, Kai Fan, Yiwei Ma, Derek F. Wong, Xiaoshuai Sun, Rongrong Ji:
AnyTrans: Translate AnyText in the Image with Large Scale Models. CoRR abs/2406.11432 (2024)
[i237]
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  - journals/corr/abs-2406-16449
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Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu, Xiaoshuai Sun, Rongrong Ji:
Evaluating and Analyzing Relationship Hallucinations in LVLMs. CoRR abs/2406.16449 (2024)
[i236]
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  - journals/corr/abs-2406-17413
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Xin Chen, Jie Hu, Xiawu Zheng, Jianghang Lin, Liujuan Cao, Rongrong Ji:
Depth-Guided Semi-Supervised Instance Segmentation. CoRR abs/2406.17413 (2024)
[i235]
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  - journals/corr/abs-2406-17601
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Xinyang Li, Zhangyu Lai, Linning Xu, Yansong Qu, Liujuan Cao, Shengchuan Zhang, Bo Dai, Rongrong Ji:
Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text. CoRR abs/2406.17601 (2024)
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  - journals/corr/abs-2406-18173
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Wenhao Li, Mingbao Lin, Yunshan Zhong, Shuicheng Yan, Rongrong Ji:
UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs. CoRR abs/2406.18173 (2024)
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  - journals/corr/abs-2406-19247
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Timin Gao, Wensheng Pan, Yan Zhang, Sicheng Zhao, Shengchuan Zhang, Xiawu Zheng, Ke Li, Liujuan Cao, Rongrong Ji:
Local Manifold Learning for No-Reference Image Quality Assessment. CoRR abs/2406.19247 (2024)
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  - journals/corr/abs-2406-19394
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Liujuan Cao, Jianghang Lin, Zebo Hong, Yunhang Shen, Shaohui Lin, Chao Chen, Rongrong Ji:
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection. CoRR abs/2406.19394 (2024)
[i231]
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  - journals/corr/abs-2407-02109
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You Huang, Wenbin Lai, Jiayi Ji, Liujuan Cao, Shengchuan Zhang, Rongrong Ji:
HRSAM: Efficiently Segment Anything in High-Resolution Images. CoRR abs/2407.02109 (2024)
[i230]
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  - journals/corr/abs-2407-03900
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Bang Li, Donghao Luo, Yujie Liang, Jing Yang, Zengmao Ding, Xu Peng, Boyuan Jiang, Shengwei Han, Dan Sui, Peichao Qin, Pian Wu, Chaoyang Wang, Yun Qi, Taisong Jin, Chengjie Wang, Xiaoming Huang, Zhan Shu, Rongrong Ji, Yongge Liu, Yunsheng Wu:
Oracle Bone Inscriptions Multi-modal Dataset. CoRR abs/2407.03900 (2024)
[i229]
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  - journals/corr/abs-2407-04241
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Wengyi Zhan, Mingbao Lin, Chia-Wen Lin, Rongrong Ji:
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource. CoRR abs/2407.04241 (2024)
[i228]
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  - journals/corr/abs-2407-05352
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Danni Yang, Ruohan Dong, Jiayi Ji, Yiwei Ma, Haowei Wang, Xiaoshuai Sun, Rongrong Ji:
Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model. CoRR abs/2407.05352 (2024)
[i227]
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  - journals/corr/abs-2407-05363
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Zhipeng Qian, Yiwei Ma, Zhekai Lin, Jiayi Ji, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji:
Multi-branch Collaborative Learning Network for 3D Visual Grounding. CoRR abs/2407.05363 (2024)
[i226]
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  - journals/corr/abs-2407-06794
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Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji:
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. CoRR abs/2407.06794 (2024)
[i225]
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  - journals/corr/abs-2407-10738
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Zhihang Lin, Mingbao Lin, Meng Zhao, Rongrong Ji:
AccDiffusion: An Accurate Method for Higher-Resolution Image Generation. CoRR abs/2407.10738 (2024)
[i224]
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  - journals/corr/abs-2407-14093
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Qiong Wu, Zhaoxi Ke, Yiyi Zhou, Gen Luo, Xiaoshuai Sun, Rongrong Ji:
Routing Experts: Learning to Route Dynamic Experts in Multi-modal Large Language Models. CoRR abs/2407.14093 (2024)
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  - journals/corr/abs-2407-16198
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Yiwei Ma, Zhibin Wang, Xiaoshuai Sun, Weihuang Lin, Qiang Zhou, Jiayi Ji, Rongrong Ji:
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Model. CoRR abs/2407.16198 (2024)
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  - journals/corr/abs-2407-16982
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Lirui Zhao, Tianshuo Yang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Kaipeng Zhang, Rongrong Ji:
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model. CoRR abs/2407.16982 (2024)
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  - journals/corr/abs-2407-17847
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Pengfei Jiang, Mingbao Lin, Fei Chao, Rongrong Ji:
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing. CoRR abs/2407.17847 (2024)
[i220]
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  - journals/corr/abs-2407-20664
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Changli Wu, Yihang Liu, Jiayi Ji, Yiwei Ma, Haowei Wang, Gen Luo, Henghui Ding, Xiaoshuai Sun, Rongrong Ji:
3D-GRES: Generalized 3D Referring Expression Segmentation. CoRR abs/2407.20664 (2024)
[i219]
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  - journals/corr/abs-2407-21534
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Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, Rongrong Ji:
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models. CoRR abs/2407.21534 (2024)
[i218]
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  - journals/corr/abs-2408-03735
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Jingjing Xie, Yuxin Zhang, Mingbao Lin, Liujuan Cao, Rongrong Ji:
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation. CoRR abs/2408.03735 (2024)
[i217]
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  - journals/corr/abs-2408-04804
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Yifan Feng, Jiangang Huang, Shaoyi Du, Shihui Ying, Jun-Hai Yong, Yipeng Li, Guiguang Ding, Rongrong Ji, Yue Gao:
Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation. CoRR abs/2408.04804 (2024)
[i216]
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  - journals/corr/abs-2408-05159
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Ziyue Zhang, Mingbao Lin, Shuicheng Yan, Rongrong Ji:
EasyInv: Toward Fast and Better DDIM Inversion. CoRR abs/2408.05159 (2024)
[i215]
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  - journals/corr/abs-2408-05211
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Chaoyou Fu, Haojia Lin, Zuwei Long, Yunhang Shen, Meng Zhao, Yifan Zhang, Xiong Wang, Di Yin, Long Ma, Xiawu Zheng, Ran He, Rongrong Ji, Yunsheng Wu, Caifeng Shan, Xing Sun:
VITA: Towards Open-Source Interactive Omni Multimodal LLM. CoRR abs/2408.05211 (2024)
[i214]
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  - journals/corr/abs-2408-05669
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Ziyin Zhou, Ke Sun, Zhongxi Chen, Huafeng Kuang, Xiaoshuai Sun, Rongrong Ji:
StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model. CoRR abs/2408.05669 (2024)
[i213]
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  - journals/corr/abs-2408-07427
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CanYi Liu, Wei Li, Youchen Zhang, Hui Li, Rongrong Ji:
Beyond Inter-Item Relations: Dynamic Adaptive Mixture-of-Experts for LLM-Based Sequential Recommendation. CoRR abs/2408.07427 (2024)
[i212]
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Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji:
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection. CoRR abs/2408.08050 (2024)
[i211]
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Mingrui Wu, Oucheng Huang, Jiayi Ji, Jiale Li, Xinyue Cai, Huafeng Kuang, Jianzhuang Liu, Xiaoshuai Sun, Rongrong Ji:
TraDiffusion: Trajectory-Based Training-Free Image Generation. CoRR abs/2408.09739 (2024)
[i210]
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Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Zhibin Wang, Yonghan Zheng, Qiang Zhou, Xiaoshuai Sun, Rongrong Ji:
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing. CoRR abs/2408.14180 (2024)
[i209]
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  - journals/corr/abs-2408-16684
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Lei Tan, Pingyang Dai, Jie Chen, Liujuan Cao, Yongjian Wu, Rongrong Ji:
PartFormer: Awakening Latent Diverse Representation from Vision Transformer for Object Re-Identification. CoRR abs/2408.16684 (2024)
[i208]
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  - journals/corr/abs-2409-05381
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Xudong Li, Zihao Huang, Runze Hu, Yan Zhang, Liujuan Cao, Rongrong Ji:
Boosting CLIP Adaptation for Image Quality Assessment via Meta-Prompt Learning and Gradient Regularization. CoRR abs/2409.05381 (2024)
[i207]
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Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji:
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion. CoRR abs/2410.04372 (2024)
[i206]
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Yaxin Luo, Gen Luo, Jiayi Ji, Yiyi Zhou, Xiaoshuai Sun, Zhiqiang Shen, Rongrong Ji:
γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models. CoRR abs/2410.13859 (2024)
[i205]
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  - journals/corr/abs-2411-00355
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Mengcheng Li, Mingbao Lin, Fei Chao, Chia-Wen Lin, Rongrong Ji:
TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images. CoRR abs/2411.00355 (2024)
[i204]
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  - journals/corr/abs-2411-01225
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Lei Tan, Yukang Zhang, Keke Han, Pingyang Dai, Yan Zhang, Yongjian Wu, Rongrong Ji:
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-identification. CoRR abs/2411.01225 (2024)
[i203]
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  - journals/corr/abs-2411-13093
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Yongdong Luo, Xiawu Zheng, Xiao Yang, Guilin Li, Haojia Lin, Jinfa Huang, Jiayi Ji, Fei Chao, Jiebo Luo, Rongrong Ji:
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension. CoRR abs/2411.13093 (2024)
[i202]
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  - journals/corr/abs-2411-14715
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Yijun Fan, Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji:
Any-to-3D Generation via Hybrid Diffusion Supervision. CoRR abs/2411.14715 (2024)
[i201]
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  - journals/corr/abs-2411-16217
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Yubin Gu, Yuan Meng, Xiaoshuai Sun, Jiayi Ji, Weijian Ruan, Rongrong Ji:
Mixed Degradation Image Restoration via Local Dynamic Optimization and Conditional Embedding. CoRR abs/2411.16217 (2024)
[i200]
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  - journals/corr/abs-2411-19628
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Qiong Wu, Wenhao Lin, Weihao Ye, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji:
Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings. CoRR abs/2411.19628 (2024)
[i199]
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  - journals/corr/abs-2412-02099
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Zhihang Lin, Mingbao Lin, Wengyi Zhan, Rongrong Ji:
AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation. CoRR abs/2412.02099 (2024)
[i198]
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Changli Wu, Qi Chen, Jiayi Ji, Haowei Wang, Yiwei Ma, You Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, Rongrong Ji:
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation. CoRR abs/2412.02402 (2024)
[i197]
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  - journals/corr/abs-2412-04317
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Bo Tong, Bokai Lai, Yiyi Zhou, Gen Luo, Yunhang Shen, Ke Li, Xiaoshuai Sun, Rongrong Ji:
FlashSloth: Lightning Multimodal Large Language Models via Embedded Visual Compression. CoRR abs/2412.04317 (2024)
[i196]
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  - journals/corr/abs-2412-14465
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Wengyi Zhan, Mingbao Lin, Shuicheng Yan, Rongrong Ji:
DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On. CoRR abs/2412.14465 (2024)
[i195]
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Lei Tan, Weihao Li, Pingyang Dai, Jie Chen, Liujuan Cao, Rongrong Ji:
Knowing Where to Focus: Attention-Guided Alignment for Text-based Person Search. CoRR abs/2412.15106 (2024)
[i194]
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Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Shen Li, Yong Li, Fei Chao, Zhanpeng Zeng, Rongrong Ji:
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers. CoRR abs/2412.16553 (2024)
2023
[j173]
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Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji:
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. Int. J. Comput. Vis. 131(5): 1234-1249 (2023)
[j172]
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Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao:
Super Vision Transformer. Int. J. Comput. Vis. 131(12): 3136-3151 (2023)
[j171]
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  - journals/pami/YangLZLLJY23
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Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye:
Dynamic Support Network for Few-Shot Class Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2945-2951 (2023)
[j170]
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Yue Gao, Yifan Feng, Shuyi Ji, Rongrong Ji:
HGNN⁺: General Hypergraph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3181-3199 (2023)
[j169]
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Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji:
1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 3999-4008 (2023)
[j168]
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Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji, Zhenjun Tang, Xianxian Li:
SiamBAN: Target-Aware Tracking With Siamese Box Adaptive Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5158-5173 (2023)
[j167]
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Donglin Di, Changqing Zou, Yifan Feng, Haiyan Zhou, Rongrong Ji, Qionghai Dai, Yue Gao:
Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for Survival Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5800-5815 (2023)
[j166]
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Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6277-6288 (2023)
[j165]
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Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji:
Training Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10478-10487 (2023)
[j164]
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Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11108-11119 (2023)
[j163]
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Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji:
Lottery Jackpots Exist in Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14990-15004 (2023)
[j162]
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  - journals/pr/MaJSZJ23
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Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Rongrong Ji:
Towards local visual modeling for image captioning. Pattern Recognit. 138: 109420 (2023)
[j161]
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  - journals/tcsv/ZhengZLTJL23
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Yaozong Zheng, Bineng Zhong, Qihua Liang, Zhenjun Tang, Rongrong Ji, Xianxian Li:
Leveraging Local and Global Cues for Visual Tracking via Parallel Interaction Network. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1671-1683 (2023)
[j160]
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Jie Ma, Xiangyuan Lan, Bineng Zhong, Guorong Li, Zhenjun Tang, Xianxian Li, Rongrong Ji:
Robust Tracking via Uncertainty-Aware Semantic Consistency. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1740-1751 (2023)
[j159]
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Huafeng Kuang, Hong Liu, Yongjian Wu, Rongrong Ji:
Semantically Consistent Visual Representation for Adversarial Robustness. IEEE Trans. Inf. Forensics Secur. 18: 5608-5622 (2023)
[j158]
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Jipeng Wu, Rongrong Ji, Qiang Wang, Shengchuan Zhang, Xiaoshuai Sun, Yan Wang, Mingliang Xu, Feiyue Huang:
Fast Monocular Depth Estimation via Side Prediction Aggregation with Continuous Spatial Refinement. IEEE Trans. Multim. 25: 1204-1216 (2023)
[j157]
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Shaojie Li, Mingbao Lin, Yan Wang, Fei Chao, Ling Shao, Rongrong Ji:
Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation. IEEE Trans. Multim. 25: 3180-3189 (2023)
[j156]
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Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Knowing What it is: Semantic-Enhanced Dual Attention Transformer. IEEE Trans. Multim. 25: 3723-3736 (2023)
[j155]
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Jiayi Ji, Xiaoyang Huang, Xiaoshuai Sun, Yiyi Zhou, Gen Luo, Liujuan Cao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Multi-Branch Distance-Sensitive Self-Attention Network for Image Captioning. IEEE Trans. Multim. 25: 3962-3974 (2023)
[j154]
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Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-Wen Lin, Qi Tian:
A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension. IEEE Trans. Neural Networks Learn. Syst. 34(1): 134-143 (2023)
[j153]
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Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji:
Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7946-7955 (2023)
[j152]
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Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8743-8752 (2023)
[j151]
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Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9139-9148 (2023)
[c301]
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Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. AAAI 2023: 7042-7052
[c300]
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Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji:
OMPQ: Orthogonal Mixed Precision Quantization. AAAI 2023: 9029-9037
[c299]
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  - conf/cvpr/JinLZSJSJ23
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Lei Jin, Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Guannan Jiang, Annan Shu, Rongrong Ji:
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension. CVPR 2023: 1-10
[c298]
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  - conf/cvpr/YeZHCZSWDJ23
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Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji:
DistilPose: Tokenized Pose Regression with Heatmap Distillation. CVPR 2023: 2163-2172
[c297]
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Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji:
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective. CVPR 2023: 7950-7959
[c296]
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Jingjia Huang, Yinan Li, Jiashi Feng, Xinglong Wu, Xiaoshuai Sun, Rongrong Ji:
Clover: Towards A Unified Video-Language Alignment and Fusion Model. CVPR 2023: 14856-14866
[c295]
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Zhenglin Zhou, Huaxia Li, Hong Liu, Nanyang Wang, Gang Yu, Rongrong Ji:
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection. CVPR 2023: 15475-15484
[c294]
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Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji:
Meta Architecture for Point Cloud Analysis. CVPR 2023: 17682-17691
[c293]
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Jie Hu, Linyan Huang, Tianhe Ren, Shengchuan Zhang, Rongrong Ji, Liujuan Cao:
You Only Segment Once: Towards Real-Time Panoptic Segmentation. CVPR 2023: 17819-17829
[c292]
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Jiamu Sun, Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Guannan Jiang, Zhiyu Wang, Rongrong Ji:
RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension. CVPR 2023: 19144-19154
[c291]
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Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji:
Discriminator-Cooperated Feature Map Distillation for GAN Compression. CVPR 2023: 20351-20360
[c290]
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Yiwei Ma, Haowei Wang, Xiaoqing Zhang, Guannan Jiang, Xiaoshuai Sun, Weilin Zhuang, Jiayi Ji, Rongrong Ji:
X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance. ICCV 2023: 2737-2748
[c289]
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Zhiwei Chen, Jinren Ding, Liujuan Cao, Yunhang Shen, Shengchuan Zhang, Guannan Jiang, Rongrong Ji:
Category-aware Allocation Transformer for Weakly Supervised Object Localization. ICCV 2023: 6620-6629
[c288]
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Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji:
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration. ICCV 2023: 7082-7091
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Jie Hu, Chen Chen, Liujuan Cao, Shengchuan Zhang, Annan Shu, Guannan Jiang, Rongrong Ji:
Pseudo-label Alignment for Semi-supervised Instance Segmentation. ICCV 2023: 16291-16301
[c286]
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Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo:
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. ICCV 2023: 17118-17128
[c285]
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Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji:
SMMix: Self-Motivated Image Mixing for Vision Transformers. ICCV 2023: 17214-17224
[c284]
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Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, Rongrong Ji:
Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle. ICCV 2023: 17412-17423
[c283]
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You Huang, Hao Yang, Ke Sun, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Rongrong Ji:
InterFormer Real-time Interactive Image Segmentation. ICCV 2023: 22244-22254
[c282]
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Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji:
Real-Time Image Demoiréing on Mobile Devices. ICLR 2023
[c281]
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Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji:
Bi-directional Masks for Efficient N: M Sparse Training. ICML 2023: 41488-41497
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Shengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong, Xiaopeng Fan, Rongrong Ji:
Interactive Object Placement with Reinforcement Learning. ICML 2023: 41510-41522
[c279]
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  - conf/issta/LiuWWXWLJ23
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Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. ISSTA 2023: 740-752
[c278]
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Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery. ASE 2023: 217-229
[c277]
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Haowei Wang, Jiji Tang, Jiayi Ji, Xiaoshuai Sun, Rongsheng Zhang, Yiwei Ma, Minda Zhao, Lincheng Li, Zeng Zhao, Tangjie Lv, Rongrong Ji:
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation. ACM Multimedia 2023: 3403-3414
[c276]
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Yiwei Ma, Xiaoshuai Sun, Jiayi Ji, Guannan Jiang, Weilin Zhuang, Rongrong Ji:
Beat: Bi-directional One-to-Many Embedding Alignment for Text-based Person Retrieval. ACM Multimedia 2023: 4157-4168
[c275]
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Xiaoxiong Du, Jun Peng, Yiyi Zhou, Jinlu Zhang, Siting Chen, Guannan Jiang, Xiaoshuai Sun, Rongrong Ji:
PixelFace+: Towards Controllable Face Generation and Manipulation with Text Descriptions and Segmentation Masks. ACM Multimedia 2023: 4666-4677
[c274]
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Shuman Fang, Shuai Liu, Jie Li, Guannan Jiang, Xianming Lin, Rongrong Ji:
Improving Human-Object Interaction Detection via Virtual Image Learning. ACM Multimedia 2023: 5455-5463
[c273]
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Wenfeng Liu, Xudong Wang, Lei Tan, Yan Zhang, Pingyang Dai, Yongjian Wu, Rongrong Ji:
Learning Occlusion Disentanglement with Fine-grained Localization for Occluded Person Re-identification. ACM Multimedia 2023: 6462-6471
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Danni Yang, Jiayi Ji, Xiaoshuai Sun, Haowei Wang, Yinan Li, Yiwei Ma, Rongrong Ji:
Semi-Supervised Panoptic Narrative Grounding. ACM Multimedia 2023: 7164-7174
[c271]
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Huafeng Kuang, Hong Liu, Yongjian Wu, Shin'ichi Satoh, Rongrong Ji:
Improving Adversarial Robustness via Information Bottleneck Distillation. NeurIPS 2023
[c270]
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Gen Luo, Yiyi Zhou, Tianhe Ren, Shengxin Chen, Xiaoshuai Sun, Rongrong Ji:
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models. NeurIPS 2023
[c269]
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Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes. NeurIPS 2023
[c268]
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Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen:
Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning. NeurIPS 2023
[c267]
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Qiong Wu, Wei Yu, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun, Rongrong Ji:
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models. NeurIPS 2023
[c266]
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Yan Ren, Xiawu Zheng, Rongrong Ji, Jie Chen:
Two-Stage Deep Learning Segmentation for Tiny Brain Regions. PRCV (13) 2023: 174-184
[c265]
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Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji:
Self-supervised Graph Representation Learning for Black Market Account Detection. WSDM 2023: 330-338
[i193]
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  - journals/corr/abs-2301-12439
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Qiong Wu, Jiahan Li, Pingyang Dai, Qixiang Ye, Liujuan Cao, Yongjian Wu, Rongrong Ji:
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning. CoRR abs/2301.12439 (2023)
[i192]
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  - journals/corr/abs-2302-00884
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Lei Tan, Yukang Zhang, Shengmei Shen, Yan Wang, Pingyang Dai, Xianming Lin, Yongjian Wu, Rongrong Ji:
Exploring Invariant Representation for Visible-Infrared Person Re-Identification. CoRR abs/2302.00884 (2023)
[i191]
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  - journals/corr/abs-2302-01512
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Lei Tan, Pingyang Dai, Qixiang Ye, Mingliang Xu, Yongjian Wu, Rongrong Ji:
Spectral Aware Softmax for Visible-Infrared Person Re-Identification. CoRR abs/2302.01512 (2023)
[i190]
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  - journals/corr/abs-2302-02184
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Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji:
Real-Time Image Demoireing on Mobile Devices. CoRR abs/2302.02184 (2023)
[i189]
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  - journals/corr/abs-2302-06058
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Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji:
Bi-directional Masks for Efficient N: M Sparse Training. CoRR abs/2302.06058 (2023)
[i188]
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  - journals/corr/abs-2302-06098
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Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Rongrong Ji:
Towards Local Visual Modeling for Image Captioning. CoRR abs/2302.06098 (2023)
[i187]
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  - journals/corr/abs-2302-08106
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Gen Luo, Minglang Huang, Yiyi Zhou, Xiaoshuai Sun, Guannan Jiang, Zhiyu Wang, Rongrong Ji:
Towards Efficient Visual Adaption via Structural Re-parameterization. CoRR abs/2302.08106 (2023)
[i186]
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  - journals/corr/abs-2302-11299
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Gen Luo, Yiyi Zhou, Lei Jin, Xiaoshuai Sun, Rongrong Ji:
Towards End-to-end Semi-supervised Learning for One-stage Object Detection. CoRR abs/2302.11299 (2023)
[i185]
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  - journals/corr/abs-2303-02455
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Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji:
DistilPose: Tokenized Pose Regression with Heatmap Distillation. CoRR abs/2303.02455 (2023)
[i184]
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  - journals/corr/abs-2303-08348
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Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji:
Active Teacher for Semi-Supervised Object Detection. CoRR abs/2303.08348 (2023)
[i183]
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  - journals/corr/abs-2303-10976
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Jiaer Xia, Lei Tan, Pingyang Dai, Mingbo Zhao, Yongjian Wu, Rongrong Ji:
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification. CoRR abs/2303.10976 (2023)
[i182]
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  - journals/corr/abs-2303-11906
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Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji:
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective. CoRR abs/2303.11906 (2023)
[i181]
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  - journals/corr/abs-2303-14651
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Jie Hu, Linyan Huang, Tianhe Ren, Shengchuan Zhang, Rongrong Ji, Liujuan Cao:
You Only Segment Once: Towards Real-Time Panoptic Segmentation. CoRR abs/2303.14651 (2023)
[i180]
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  - journals/corr/abs-2303-14922
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Xingbin Liu, Huafeng Kuang, Xianming Lin, Yongjian Wu, Rongrong Ji:
CAT: Collaborative Adversarial Training. CoRR abs/2303.14922 (2023)
[i179]
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  - journals/corr/abs-2303-15764
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Yiwei Ma, Xiaoqing Zhang, Xiaoshuai Sun, Jiayi Ji, Haowei Wang, Guannan Jiang, Weilin Zhuang, Rongrong Ji:
X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance. CoRR abs/2303.15764 (2023)
[i178]
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  - journals/corr/abs-2303-16697
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Xingbin Liu, Huafeng Kuang, Hong Liu, Xianming Lin, Yongjian Wu, Rongrong Ji:
Latent Feature Relation Consistency for Adversarial Robustness. CoRR abs/2303.16697 (2023)
[i177]
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  - journals/corr/abs-2304-02942
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You Huang, Hao Yang, Ke Sun, Shengchuan Zhang, Guannan Jiang, Rongrong Ji, Liujuan Cao:
InterFormer: Real-time Interactive Image Segmentation. CoRR abs/2304.02942 (2023)
[i176]
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  - journals/corr/abs-2305-05888
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Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji:
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks. CoRR abs/2305.05888 (2023)
[i175]
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  - journals/corr/abs-2305-08117
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Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji:
MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization. CoRR abs/2305.08117 (2023)
[i174]
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Gen Luo, Yiyi Zhou, Tianhe Ren, Shengxin Chen, Xiaoshuai Sun, Rongrong Ji:
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models. CoRR abs/2305.15023 (2023)
[i173]
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Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. CoRR abs/2305.17708 (2023)
[i172]
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Zhongxi Chen, Ke Sun, Xianming Lin, Rongrong Ji:
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models. CoRR abs/2305.17932 (2023)
[i171]
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Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo:
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. CoRR abs/2305.17997 (2023)
[i170]
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Shubin Huang, Qiong Wu, Yiyi Zhou, Weijie Chen, Rongsheng Zhang, Xiaoshuai Sun, Rongrong Ji:
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting. CoRR abs/2306.00409 (2023)
[i169]
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Zhenglin Zhou, Huaxia Li, Hong Liu, Nanyang Wang, Gang Yu, Rongrong Ji:
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection. CoRR abs/2306.02763 (2023)
[i168]
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Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji:
Spatial Re-parameterization for N: M Sparsity. CoRR abs/2306.05612 (2023)
[i167]
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  - journals/corr/abs-2306-13394
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Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Zhenyu Qiu, Wei Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Rongrong Ji:
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. CoRR abs/2306.13394 (2023)
[i166]
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Qiong Wu, Shubin Huang, Yiyi Zhou, Pingyang Dai, Annan Shu, Guannan Jiang, Rongrong Ji:
Approximated Prompt Tuning for Vision-Language Pre-trained Models. CoRR abs/2306.15706 (2023)
[i165]
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Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Tianshuo Xu, Xiaoshuai Sun, Tongliang Liu, Rongrong Ji, Dacheng Tao:
Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer. CoRR abs/2306.17504 (2023)
[i164]
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Ke Sun, Shen Chen, Taiping Yao, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji:
Towards General Visual-Linguistic Face Forgery Detection. CoRR abs/2307.16545 (2023)
[i163]
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Shuman Fang, Shuai Liu, Jie Li, Guannan Jiang, Xianming Lin, Rongrong Ji:
Improving Human-Object Interaction Detection via Virtual Image Learning. CoRR abs/2308.02606 (2023)
[i162]
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Haowei Wang, Jiji Tang, Jiayi Ji, Xiaoshuai Sun, Rongsheng Zhang, Yiwei Ma, Minda Zhao, Lincheng Li, Zeng Zhao, Tangjie Lv, Rongrong Ji:
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation. CoRR abs/2308.02982 (2023)
[i161]
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  - journals/corr/abs-2308-05359
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Jie Hu, Chen Chen, Liujuan Cao, Shengchuan Zhang, Annan Shu, Guannan Jiang, Rongrong Ji:
Pseudo-label Alignment for Semi-supervised Instance Segmentation. CoRR abs/2308.05359 (2023)
[i160]
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Ke Sun, Shen Chen, Taiping Yao, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji:
Continual Face Forgery Detection via Historical Distribution Preserving. CoRR abs/2308.06217 (2023)
[i159]
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Shuman Fang, Zhiwen Lin, Ke Yan, Jie Li, Xianming Lin, Rongrong Ji:
HODN: Disentangling Human-Object Feature for HOI Detection. CoRR abs/2308.10158 (2023)
[i158]
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Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery. CoRR abs/2308.10759 (2023)
[i157]
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Tao Chen, Ze Lin, Hui Li, Jiayi Ji, Yiyi Zhou, Guanbin Li, Rongrong Ji:
M3PS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization in E-commerce. CoRR abs/2308.11351 (2023)
[i156]
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  - journals/corr/abs-2308-12956
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Huafeng Kuang, Jie Wu, Xiawu Zheng, Ming Li, Xuefeng Xiao, Rui Wang, Min Zheng, Rongrong Ji:
DLIP: Distilling Language-Image Pre-training. CoRR abs/2308.12956 (2023)
[i155]
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  - journals/corr/abs-2308-14103
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Yaozong Zheng, Bineng Zhong, Qihua Liang, Guorong Li, Rongrong Ji, Xianxian Li:
Towards Unified Token Learning for Vision-Language Tracking. CoRR abs/2308.14103 (2023)
[i154]
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  - journals/corr/abs-2309-01479
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Qiong Wu, Wei Yu, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun, Rongrong Ji:
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models. CoRR abs/2309.01479 (2023)
[i153]
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  - journals/corr/abs-2309-10438
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Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji:
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration. CoRR abs/2309.10438 (2023)
[i152]
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  - journals/corr/abs-2310-08915
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Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji:
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. CoRR abs/2310.08915 (2023)
[i151]
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  - journals/corr/abs-2310-09503
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Jiayi Ji, Haowei Wang, Changli Wu, Yiwei Ma, Xiaoshuai Sun, Rongrong Ji:
JM3D & JM3D-LLM: Elevating 3D Representation with Joint Multi-modal Cues. CoRR abs/2310.09503 (2023)
[i150]
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  - journals/corr/abs-2310-09761
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Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes. CoRR abs/2310.09761 (2023)
[i149]
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  - journals/corr/abs-2310-10975
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Haowei Wang, Jiayi Ji, Tianyu Guo, Yilong Yang, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji:
NICE: Improving Panoptic Narrative Detection and Segmentation with Cascading Collaborative Learning. CoRR abs/2310.10975 (2023)
[i148]
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  - journals/corr/abs-2310-18142
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Danni Yang, Jiayi Ji, Xiaoshuai Sun, Haowei Wang, Yinan Li, Yiwei Ma, Rongrong Ji:
Semi-Supervised Panoptic Narrative Grounding. CoRR abs/2310.18142 (2023)
[i147]
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  - journals/corr/abs-2311-10126
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Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, Rongrong Ji:
I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization. CoRR abs/2311.10126 (2023)
[i146]
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  - journals/corr/abs-2312-00085
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Yiwei Ma, Yijun Fan, Jiayi Ji, Haowei Wang, Xiaoshuai Sun, Guannan Jiang, Annan Shu, Rongrong Ji:
X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation. CoRR abs/2312.00085 (2023)
[i145]
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  - journals/corr/abs-2312-00591
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Xudong Li, Jingyuan Zheng, Xiawu Zheng, Runze Hu, Enwei Zhang, Yuting Gao, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji:
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment. CoRR abs/2312.00591 (2023)
[i144]
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  - journals/corr/abs-2312-02153
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Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji:
Aligning and Prompting Everything All at Once for Universal Visual Perception. CoRR abs/2312.02153 (2023)
[i143]
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  - journals/corr/abs-2312-05598
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Lirui Zhao, Yuxin Zhang, Mingbao Lin, Fei Chao, Rongrong Ji:
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study. CoRR abs/2312.05598 (2023)
[i142]
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  - journals/corr/abs-2312-06158
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Xudong Li, Timin Gao, Xiawu Zheng, Runze Hu, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji:
Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity. CoRR abs/2312.06158 (2023)
[i141]
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  - journals/corr/abs-2312-06354
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Xu Peng, Junwei Zhu, Boyuan Jiang, Ying Tai, Donghao Luo, Jiangning Zhang, Wei Lin, Taisong Jin, Chengjie Wang, Rongrong Ji:
PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization. CoRR abs/2312.06354 (2023)
[i140]
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  - journals/corr/abs-2312-12470
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Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji:
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation. CoRR abs/2312.12470 (2023)
2022
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Taisong Jin, Huaqiang Dai, Liujuan Cao, Baochang Zhang, Feiyue Huang, Yue Gao, Rongrong Ji:
Deepwalk-aware graph convolutional networks. Sci. China Inf. Sci. 65(5): 1-15 (2022)
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Liujuan Cao, Huafeng Kuang, Hong Liu, Yan Wang, Baochang Zhang, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint. Int. J. Softw. Informatics 12(2): 177-193 (2022)
[j148]
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Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Jinsong Su, Deyu Meng, Yue Gao, Chunhua Shen:
Plenty is Plague: Fine-Grained Learning for Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 697-709 (2022)
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Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2453-2467 (2022)
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Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Chia-Wen Lin, Rongrong Ji:
Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 1012-1026 (2022)
[j145]
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Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yan Wang, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Towards Lightweight Transformer Via Group-Wise Transformation for Vision-and-Language Tasks. IEEE Trans. Image Process. 31: 3386-3398 (2022)
[j144]
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Jiayi Ji, Yiwei Ma, Xiaoshuai Sun, Yiyi Zhou, Yongjian Wu, Rongrong Ji:
Knowing What to Learn: A Metric-Oriented Focal Mechanism for Image Captioning. IEEE Trans. Image Process. 31: 4321-4335 (2022)
[j143]
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Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Knowledge-Driven Generative Adversarial Network for Text-to-Image Synthesis. IEEE Trans. Multim. 24: 4356-4366 (2022)
[j142]
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Qinqin Zhou, Bineng Zhong, Xin Liu, Rongrong Ji:
Attention-Based Neural Architecture Search for Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6627-6639 (2022)
[j141]
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Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji:
Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7091-7100 (2022)
[j140]
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Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye:
Network Pruning Using Adaptive Exemplar Filters. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7357-7366 (2022)
[c264]
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  - conf/aaai/FangLLJ22
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Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji:
Learning to Learn Transferable Attack. AAAI 2022: 571-579
[c263]
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Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Dual Contrastive Learning for General Face Forgery Detection. AAAI 2022: 2316-2324
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Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-free Transformer Architecture Search. CVPR 2022: 10884-10893
[c261]
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Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji:
Neural Architecture Search with Representation Mutual Information. CVPR 2022: 11902-11911
[c260]
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Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CVPR 2022: 12329-12338
[c259]
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Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji:
Active Teacher for Semi-Supervised Object Detection. CVPR 2022: 14462-14471
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Mingrui Wu, Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji:
DIFNet: Boosting Visual Information Flow for Image Captioning. CVPR 2022: 17999-18008
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Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Xiaopeng Hong:
Boosting Crowd Counting via Multifaceted Attention. CVPR 2022: 19596-19605
[c256]
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Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. ECCV (18) 2022: 1-18
[c255]
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Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. ECCV (11) 2022: 70-86
[c254]
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Ke Sun, Hong Liu, Taiping Yao, Xiaoshuai Sun, Shen Chen, Shouhong Ding, Rongrong Ji:
An Information Theoretic Approach for Attention-Driven Face Forgery Detection. ECCV (14) 2022: 111-127
[c253]
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Yixu Wang, Jie Li, Hong Liu, Yan Wang, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack. ECCV (5) 2022: 192-208
[c252]
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Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. ECCV (19) 2022: 254-270
[c251]
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Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji:
ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement. ECCV (10) 2022: 317-334
[c250]
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  - conf/eccv/KristanLMFPKCDZLDBZZYYCMFBBCCCCCCCCCCC22
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Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460
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Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain. ECCV (12) 2022: 475-491
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Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji:
SeqTR: A Simple Yet Universal Network for Visual Grounding. ECCV (35) 2022: 598-615
[c247]
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Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji:
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation. ECCV (14) 2022: 643-660
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Guangge Wang, Weirong Ye, Xiao Wang, Rongrong Ji, Hanzi Wang:
Visual Tempo Contrastive Learning for Few-Shot Action Recognition. ICIP 2022: 1096-1100
[c245]
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Rongrong Ji, Weirong Ye, Xiao Wang, Yan Yan, Hanzi Wang:
MDNet: Motion Distinction Network for Effective Action Recognition. ICIP 2022: 3236-3240
[c244]
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Lei Tan, Pingyang Dai, Rongrong Ji, Yongjian Wu:
Dynamic Prototype Mask for Occluded Person Re-Identification. ACM Multimedia 2022: 531-540
[c243]
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Yiwei Ma, Guohai Xu, Xiaoshuai Sun, Ming Yan, Ji Zhang, Rongrong Ji:
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval. ACM Multimedia 2022: 638-647
[c242]
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Xudong Mao, Liujuan Cao, Aurele Tohokantche Gnanha, Zhenguo Yang, Qing Li, Rongrong Ji:
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability. ACM Multimedia 2022: 2032-2041
[c241]
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Haojia Lin, Lijiang Li, Xiawu Zheng, Fei Chao, Rongrong Ji:
Searching Lightweight Neural Network for Image Signal Processing. ACM Multimedia 2022: 2825-2833
[c240]
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Jun Peng, Han Pan, Yiyi Zhou, Jing He, Xiaoshuai Sun, Yan Wang, Yongjian Wu, Rongrong Ji:
Towards Open-Ended Text-to-Face Generation, Combination and Manipulation. ACM Multimedia 2022: 5045-5054
[c239]
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Jun Peng, Xiaoxiong Du, Yiyi Zhou, Jing He, Yunhang Shen, Xiaoshuai Sun, Rongrong Ji:
Learning Dynamic Prior Knowledge for Text-to-Face Pixel Synthesis. ACM Multimedia 2022: 5132-5141
[c238]
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Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji:
Learning Best Combination for Efficient N: M Sparsity. NeurIPS 2022
[c237]
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Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen:
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. NeurIPS 2022
[c236]
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Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao:
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach. NeurIPS 2022
[i139]
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Tianshuo Xu, Peng Mi, Xiawu Zheng, Lijiang Li, Fei Chao, Guannan Jiang, Wei Zhang, Yiyi Zhou, Rongrong Ji:
What Hinders Perceptual Quality of PSNR-oriented Methods? CoRR abs/2201.01034 (2022)
[i138]
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Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang:
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR abs/2201.03801 (2022)
[i137]
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Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji:
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. CoRR abs/2201.12826 (2022)
[i136]
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Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters. CoRR abs/2202.07190 (2022)
[i135]
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Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Xiaopeng Hong:
Boosting Crowd Counting via Multifaceted Attention. CoRR abs/2203.02636 (2022)
[i134]
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  - journals/corr/abs-2203-03821
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Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
Coarse-to-Fine Vision Transformer. CoRR abs/2203.03821 (2022)
[i133]
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Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. CoRR abs/2203.03844 (2022)
[i132]
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  - journals/corr/abs-2203-06382
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Fuhai Chen, Xiaoshuai Sun, Xuri Ge, Jianzhuang Liu, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension. CoRR abs/2203.06382 (2022)
[i131]
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  - journals/corr/abs-2203-06458
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Fuhai Chen, Rongrong Ji, Chengpeng Dai, Xuri Ge, Shengchuan Zhang, Xiaojing Ma, Yue Gao:
Factored Attention and Embedding for Unstructured-view Topic-related Ultrasound Report Generation. CoRR abs/2203.06458 (2022)
[i130]
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  - journals/corr/abs-2203-10812
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Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. CoRR abs/2203.10812 (2022)
[i129]
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  - journals/corr/abs-2203-12217
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Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-free Transformer Architecture Search. CoRR abs/2203.12217 (2022)
[i128]
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  - journals/corr/abs-2203-16265
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Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji:
SeqTR: A Simple yet Universal Network for Visual Grounding. CoRR abs/2203.16265 (2022)
[i127]
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  - journals/corr/abs-2204-00833
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Jing He, Yiyi Zhou, Qi Zhang, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji:
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation. CoRR abs/2204.00833 (2022)
[i126]
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  - journals/corr/abs-2204-03541
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Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun, Rongrong Ji:
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. CoRR abs/2204.03541 (2022)
[i125]
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  - journals/corr/abs-2204-07780
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Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yan Wang, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks. CoRR abs/2204.07780 (2022)
[i124]
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  - journals/corr/abs-2204-07913
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Gen Luo, Yiyi Zhou, Jiamu Sun, Shubin Huang, Xiaoshuai Sun, Qixiang Ye, Yongjian Wu, Rongrong Ji:
What Goes beyond Multi-modal Fusion in One-stage Referring Expression Comprehension: An Empirical Study. CoRR abs/2204.07913 (2022)
[i123]
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Shaohui Lin, Bo Ji, Rongrong Ji, Angela Yao:
A Closer Look at Branch Classifiers of Multi-exit Architectures. CoRR abs/2204.13347 (2022)
[i122]
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Yimin Xu, Mingbao Lin, Hong Yang, Ke Li, Yunhang Shen, Fei Chao, Rongrong Ji:
Shadow-Aware Dynamic Convolution for Shadow Removal. CoRR abs/2205.04908 (2022)
[i121]
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Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji:
Super Vision Transformer. CoRR abs/2205.11397 (2022)
[i120]
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  - journals/corr/abs-2206-06662
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Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji:
Learning Best Combination for Efficient N: M Sparsity. CoRR abs/2206.06662 (2022)
[i119]
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Yiwei Ma, Guohai Xu, Xiaoshuai Sun, Ming Yan, Ji Zhang, Rongrong Ji:
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval. CoRR abs/2207.07285 (2022)
[i118]
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Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain. CoRR abs/2207.07316 (2022)
[i117]
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Jingjia Huang, Yinan Li, Jiashi Feng, Xiaoshuai Sun, Rongrong Ji:
Clover: Towards A Unified Video-Language Alignment and Fusion Model. CoRR abs/2207.07885 (2022)
[i116]
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Lei Tan, Pingyang Dai, Rongrong Ji, Yongjian Wu:
Dynamic Prototype Mask for Occluded Person Re-Identification. CoRR abs/2207.09046 (2022)
[i115]
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Xudong Mao, Liujuan Cao, Aurele Tohokantche Gnanha, Zhenguo Yang, Qing Li, Rongrong Ji:
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability. CoRR abs/2207.09367 (2022)
[i114]
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  - journals/corr/abs-2208-09844
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Qiong Wu, Jiaer Xia, Pingyang Dai, Yiyi Zhou, Yongjian Wu, Rongrong Ji:
CycleTrans: Learning Neutral yet Discriminative Features for Visible-Infrared Person Re-Identification. CoRR abs/2208.09844 (2022)
[i113]
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  - journals/corr/abs-2208-13039
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Hong Yang, Gongrui Nan, Mingbao Lin, Fei Chao, Yunhang Shen, Ke Li, Rongrong Ji:
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal. CoRR abs/2208.13039 (2022)
[i112]
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  - journals/corr/abs-2209-03917
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Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji:
Exploring Target Representations for Masked Autoencoders. CoRR abs/2209.03917 (2022)
[i111]
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  - journals/corr/abs-2209-12213
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Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji:
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement. CoRR abs/2209.12213 (2022)
[i110]
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  - journals/corr/abs-2210-05177
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Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao:
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach. CoRR abs/2210.05177 (2022)
[i109]
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  - journals/corr/abs-2211-08544
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Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Gongrui Nan, Fei Chao, Rongrong Ji:
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training. CoRR abs/2211.08544 (2022)
[i108]
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Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji:
Meta Architecure for Point Cloud Analysis. CoRR abs/2211.14462 (2022)
[i107]
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  - journals/corr/abs-2212-02679
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Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji:
Self-supervised Graph Representation Learning for Black Market Account Detection. CoRR abs/2212.02679 (2022)
[i106]
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Yunshan Zhong, Mingbao Lin, Lizhou You, Yuxin Zhang, Luoqi Liu, Rongrong Ji:
Shadow Removal by High-Quality Shadow Synthesis. CoRR abs/2212.04108 (2022)
[i105]
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  - journals/corr/abs-2212-11091
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Lizhou You, Mingbao Lin, Tie Hu, Fei Chao, Rongrong Ji:
Exploring Content Relationships for Distilling Efficient GANs. CoRR abs/2212.11091 (2022)
[i104]
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  - journals/corr/abs-2212-12977
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Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji:
SMMix: Self-Motivated Image Mixing for Vision Transformers. CoRR abs/2212.12977 (2022)
[i103]
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  - journals/corr/abs-2212-14169
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Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji:
Discriminator-Cooperated Feature Map Distillation for GAN Compression. CoRR abs/2212.14169 (2022)
2021
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Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. Int. J. Comput. Vis. 129(2): 501-516 (2021)
[j138]
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Ming Yin, Wei Liu, Mingsuo Li, Taisong Jin, Rongrong Ji:
Cauchy loss induced block diagonal representation for robust multi-view subspace clustering. Neurocomputing 427: 84-95 (2021)
[j137]
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Jipeng Wu, Rongrong Ji, Jianzhuang Liu, Mingliang Xu, Jiawen Zheng, Ling Shao, Qi Tian:
Real-time semantic segmentation via sequential knowledge distillation. Neurocomputing 439: 134-145 (2021)
[j136]
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Xiawu Zheng, Rongrong Ji, Yuhang Chen, Qiang Wang, Baochang Zhang, Jie Chen, Qixiang Ye, Feiyue Huang, Yonghong Tian:
MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2936-2952 (2021)
[j135]
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Xiawu Zheng, Yang Zhang, Sirui Hong, Huixia Li, Lang Tang, Youcheng Xiong, Jin Zhou, Yan Wang, Xiaoshuai Sun, Pengfei Zhu, Chenglin Wu, Rongrong Ji:
Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3091-3107 (2021)
[j134]
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Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang:
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3108-3125 (2021)
[j133]
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Jipeng Wu, Haibo Xu, Shengchuan Zhang, Xi Li, Jie Chen, Jiawen Zheng, Yue Gao, Yonghong Tian, Yongsheng Liang, Rongrong Ji:
Joint segmentation and detection of COVID-19 via a sequential region generation network. Pattern Recognit. 118: 108006 (2021)
[j132]
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Mingliang Xu, Fuhai Chen, Lu Li, Chen Shen, Pei Lv, Bing Zhou, Rongrong Ji:
Bio-Inspired Deep Attribute Learning Towards Facial Aesthetic Prediction. IEEE Trans. Affect. Comput. 12(1): 227-238 (2021)
[j131]
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Wenjie Ding, Xing Wei, Rongrong Ji, Xiaopeng Hong, Qi Tian, Yihong Gong:
Beyond Universal Person Re-Identification Attack. IEEE Trans. Inf. Forensics Secur. 16: 3442-3455 (2021)
[j130]
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  - journals/tist/ZhouJSY21
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Yiyi Zhou, Rongrong Ji, Jinsong Su, Jiaquan Yao:
Uncovering Media Bias via Social Network Learning. ACM Trans. Intell. Syst. Technol. 12(1): 12:1-12:12 (2021)
[j129]
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Xianming Lin, Run Li, Xiawu Zheng, Pai Peng, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Aggregating Global and Local Visual Representation for Vehicle Re-IDentification. IEEE Trans. Multim. 23: 3968-3977 (2021)
[c235]
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  - conf/aaai/ChenDLZX0J21
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Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, Rongrong Ji:
Dual Distribution Alignment Network for Generalizable Person Re-Identification. AAAI 2021: 1054-1062
[c234]
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Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Local Relation Learning for Face Forgery Detection. AAAI 2021: 1081-1088
[c233]
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Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji:
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. AAAI 2021: 1655-1663
[c232]
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Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji:
Dual-level Collaborative Transformer for Image Captioning. AAAI 2021: 2286-2293
[c231]
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Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Domain General Face Forgery Detection by Learning to Weight. AAAI 2021: 2638-2646
[c230]
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Jinpeng Wang, Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun:
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. AAAI 2021: 10129-10137
[c229]
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Qiong Wu, Pingyang Dai, Jie Chen, Chia-Wen Lin, Yongjian Wu, Feiyue Huang, Bineng Zhong, Rongrong Ji:
Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification. CVPR 2021: 4330-4339
[c228]
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Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji:
Towards Compact CNNs via Collaborative Compression. CVPR 2021: 6438-6447
[c227]
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Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye:
Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection. CVPR 2021: 7363-7372
[c226]
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Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Image-to-Image Translation via Hierarchical Style Disentanglement. CVPR 2021: 8639-8648
[c225]
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Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Feiyue Huang, Rongrong Ji, Xing Sun:
Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning. CVPR 2021: 11804-11813
[c224]
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Xuying Zhang, Xiaoshuai Sun, Yunpeng Luo, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji:
RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words. CVPR 2021: 15465-15474
[c223]
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Yunhang Shen, Liujuan Cao, Zhiwei Chen, Feihong Lian, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. CVPR 2021: 16694-16705
[c222]
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  - conf/iccv/0018CTYZLH0J21
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Jie Hu, Liujuan Cao, Tong Tong, Qixiang Ye, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji:
Architecture Disentanglement for Deep Neural Networks. ICCV 2021: 652-661
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Yiyi Zhou, Tianhe Ren, Chaoyang Zhu, Xiaoshuai Sun, Jianzhuang Liu, Xinghao Ding, Mingliang Xu, Rongrong Ji:
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering. ICCV 2021: 2054-2064
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Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. ICCV 2021: 5178-5188
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Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao:
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. ICCV 2021: 6900-6909
[c218]
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Yunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. ICCV 2021: 8178-8188
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Peixian Chen, Wenfeng Liu, Pingyang Dai, Jianzhuang Liu, Qixiang Ye, Mingliang Xu, Qi'an Chen, Rongrong Ji:
Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID. ICCV 2021: 11813-11822
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Qinqin Zhou, Xiawu Zheng, Liujuan Cao, Bineng Zhong, Teng Xi, Gang Zhang, Errui Ding, Mingliang Xu, Rongrong Ji:
EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS. ICCV 2021: 11966-11975
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Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu:
Aha! Adaptive History-driven Attack for Decision-based Black-box Models. ICCV 2021: 16148-16157
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Shen Chen, Taiping Yao, Ke-Yue Zhang, Yang Chen, Ke Sun, Shouhong Ding, Jilin Li, Feiyue Huang, Rongrong Ji:
A Dual-stream Framework for 3D Mask Face Presentation Attack Detection. ICCVW 2021: 834-841
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  - conf/iccvw/KristanMLFPKCDZ21
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Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738
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Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu:
Towards Robustness Against Natural Language Word Substitutions. ICLR 2021
[c211]
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Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji:
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping. IJCAI 2021: 1136-1142
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Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, Rongrong Ji:
Long-Range Feature Propagating for Natural Image Matting. ACM Multimedia 2021: 526-534
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Zhiwei Chen, Liujuan Cao, Yunhang Shen, Feihong Lian, Yongjian Wu, Rongrong Ji:
E2Net: Excitative-Expansile Learning for Weakly Supervised Object Localization. ACM Multimedia 2021: 573-581
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Hao Liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren, Rongrong Ji:
Show, Read and Reason: Table Structure Recognition with Flexible Context Aggregator. ACM Multimedia 2021: 1084-1092
[c207]
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Yiqing Hu, Yan Zheng, Xinghua Jiang, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren, Rongrong Ji:
RecycleNet: An Overlapped Text Instance Recovery Approach. ACM Multimedia 2021: 1102-1110
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Tianshuo Xu, Yuhang Wu, Xiawu Zheng, Teng Xi, Gang Zhang, Errui Ding, Fei Chao, Rongrong Ji:
CDP: Towards Optimal Filter Pruning via Class-wise Discriminative Power. ACM Multimedia 2021: 5491-5500
[c205]
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Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji:
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme. NeurIPS 2021: 28560-28572
[i102]
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  - journals/corr/abs-2101-06462
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Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji:
Dual-Level Collaborative Transformer for Image Captioning. CoRR abs/2101.06462 (2021)
[i101]
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  - journals/corr/abs-2101-07985
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Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye:
Non-Parametric Adaptive Network Pruning. CoRR abs/2101.07985 (2021)
[i100]
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Jian Zhang, Ying Tai, Taiping Yao, Jia Meng, Shouhong Ding, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji:
Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System. CoRR abs/2102.00713 (2021)
[i99]
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  - journals/corr/abs-2102-07981
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Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. CoRR abs/2102.07981 (2021)
[i98]
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  - journals/corr/abs-2102-09471
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Liming Jiang, Zhengkui Guo, Wayne Wu, Zhaoyang Liu, Ziwei Liu, Chen Change Loy, Shuo Yang, Yuanjun Xiong, Wei Xia, Baoying Chen, Peiyu Zhuang, Sili Li, Shen Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Liujuan Cao, Rongrong Ji, Changlei Lu, Ganchao Tan:
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results. CoRR abs/2102.09471 (2021)
[i97]
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  - journals/corr/abs-2103-01456
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Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Image-to-image Translation via Hierarchical Style Disentanglement. CoRR abs/2103.01456 (2021)
[i96]
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  - journals/corr/abs-2103-04612
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Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye:
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection. CoRR abs/2103.04612 (2021)
[i95]
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Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. CoRR abs/2103.12369 (2021)
[i94]
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  - journals/corr/abs-2103-13561
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Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun:
On Evolving Attention Towards Domain Adaptation. CoRR abs/2103.13561 (2021)
[i93]
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  - journals/corr/abs-2103-14473
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Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. CoRR abs/2103.14473 (2021)
[i92]
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Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye:
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning. CoRR abs/2104.02281 (2021)
[i91]
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Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji:
Lottery Jackpots Exist in Pre-trained Models. CoRR abs/2104.08700 (2021)
[i90]
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  - journals/corr/abs-2104-09124
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Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun:
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. CoRR abs/2104.09124 (2021)
[i89]
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Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji:
Carrying out CNN Channel Pruning in a White Box. CoRR abs/2104.11883 (2021)
[i88]
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Yixu Wang, Jie Li, Hong Liu, Yongjian Wu, Rongrong Ji:
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack. CoRR abs/2105.00623 (2021)
[i87]
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Jie Hu, Liujuan Cao, Yao Lu, Shengchuan Zhang, Yan Wang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji:
ISTR: End-to-End Instance Segmentation with Transformers. CoRR abs/2105.00637 (2021)
[i86]
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Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Local Relation Learning for Face Forgery Detection. CoRR abs/2105.02577 (2021)
[i85]
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  - journals/corr/abs-2105-11228
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Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji:
Towards Compact CNNs via Collaborative Compression. CoRR abs/2105.11228 (2021)
[i84]
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Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji:
1×N Block Pattern for Network Sparsity. CoRR abs/2105.14713 (2021)
[i83]
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  - journals/corr/abs-2106-02435
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Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji:
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient. CoRR abs/2106.02435 (2021)
[i82]
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Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji:
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping. CoRR abs/2106.09965 (2021)
[i81]
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  - journals/corr/abs-2106-15064
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Peng Tu, Yawen Huang, Rongrong Ji, Feng Zheng, Ling Shao:
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference. CoRR abs/2106.15064 (2021)
[i80]
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  - journals/corr/abs-2107-06916
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Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian:
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. CoRR abs/2107.06916 (2021)
[i79]
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  - journals/corr/abs-2107-13541
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Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu:
Towards Robustness Against Natural Language Word Substitutions. CoRR abs/2107.13541 (2021)
[i78]
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  - journals/corr/abs-2108-08532
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Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji:
An Information Theory-inspired Strategy for Automatic Network Pruning. CoRR abs/2108.08532 (2021)
[i77]
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  - journals/corr/abs-2108-13393
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Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao:
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. CoRR abs/2108.13393 (2021)
[i76]
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  - journals/corr/abs-2109-04186
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Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. CoRR abs/2109.04186 (2021)
[i75]
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Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. CoRR abs/2109.05432 (2021)
[i74]
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Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Guannan Jiang, Wei Zhang, Rongrong Ji:
OMPQ: Orthogonal Mixed Precision Quantization. CoRR abs/2109.07865 (2021)
[i73]
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Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, Rongrong Ji:
Long-Range Feature Propagating for Natural Image Matting. CoRR abs/2109.12252 (2021)
[i72]
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Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Xinghao Ding, Yongjian Wu, Feiyue Huang, Yue Gao, Rongrong Ji:
Towards Language-guided Visual Recognition via Dynamic Convolutions. CoRR abs/2110.08797 (2021)
[i71]
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Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji:
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme. CoRR abs/2110.14439 (2021)
[i70]
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Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CoRR abs/2111.09136 (2021)
[i69]
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Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji:
Learning to Learn Transferable Attack. CoRR abs/2112.06658 (2021)
[i68]
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Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Dual Contrastive Learning for General Face Forgery Detection. CoRR abs/2112.13522 (2021)
2020
[j128]
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Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian:
Hadamard Matrix Guided Online Hashing. Int. J. Comput. Vis. 128(8): 2279-2306 (2020)
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Taisong Jin, Liujuan Cao, Feiran Jie, Rongrong Ji:
Link-aware semi-supervised hypergraph. Inf. Sci. 507: 339-355 (2020)
[j126]
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Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo:
Semi-Supervised Adversarial Monocular Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2410-2422 (2020)
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Yawei Luo, Rongrong Ji, Tao Guan, Junqing Yu, Ping Liu, Yi Yang:
Every node counts: Self-ensembling graph convolutional networks for semi-supervised learning. Pattern Recognit. 106: 107451 (2020)
[j124]
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Yunhang Shen, Rongrong Ji, Kuiyuan Yang, Cheng Deng, Changhu Wang:
Category-Aware Spatial Constraint for Weakly Supervised Detection. IEEE Trans. Image Process. 29: 843-858 (2020)
[j123]
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Mingbao Lin, Rongrong Ji, Shen Chen, Xiaoshuai Sun, Chia-Wen Lin:
Similarity-Preserving Linkage Hashing for Online Image Retrieval. IEEE Trans. Image Process. 29: 5289-5300 (2020)
[j122]
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Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Baochang Zhang, Rongrong Ji:
Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss. IEEE Trans. Image Process. 29: 7578-7589 (2020)
[j121]
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Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li:
Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. IEEE Trans. Neural Networks Learn. Syst. 31(2): 574-588 (2020)
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Chenxi Huang, Yisha Lan, Guokai Zhang, Gaowei Xu, Landu Jiang, Nianyin Zeng, Jen Hong Tan, E. Y. K. Ng, Yongqiang Cheng, Ningzhi Han, Rongrong Ji, Yonghong Peng:
A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy. ACM Trans. Multim. Comput. Commun. Appl. 16(2s): 65:1-65:14 (2020)
[c204]
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Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma:
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. AAAI 2020: 5709-5716
[c203]
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Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. AAAI 2020: 10526-10533
[c202]
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Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji:
Fast Learning of Temporal Action Proposal via Dense Boundary Generator. AAAI 2020: 11499-11506
[c201]
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Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li:
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. AAAI 2020: 12597-12604
[c200]
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Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. CVPR 2020: 359-368
[c199]
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Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning Using High-Rank Feature Map. CVPR 2020: 1526-1535
[c198]
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Xuesong Chen, Canmiao Fu, Yong Zhao, Feng Zheng, Jingkuan Song, Rongrong Ji, Yi Yang:
Salience-Guided Cascaded Suppression Network for Person Re-Identification. CVPR 2020: 3297-3307
[c197]
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Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu:
Filter Grafting for Deep Neural Networks. CVPR 2020: 6598-6606
[c196]
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Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji:
Siamese Box Adaptive Network for Visual Tracking. CVPR 2020: 6667-6676
[c195]
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Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo:
Cogradient Descent for Bilinear Optimization. CVPR 2020: 7956-7964
[c194]
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Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian:
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification. CVPR 2020: 9018-9027
[c193]
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Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji:
Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. CVPR 2020: 10031-10040
[c192]
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Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji:
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention. CVPR 2020: 10173-10182
[c191]
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Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, Qi Tian:
Noise-Aware Fully Webly Supervised Object Detection. CVPR 2020: 11323-11332
[c190]
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Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. CVPR 2020: 11353-11362
[c189]
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Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann:
Anti-bandit Neural Architecture Search for Model Defense. ECCV (13) 2020: 70-85
[c188]
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Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu:
Enabling Deep Residual Networks for Weakly Supervised Object Detection. ECCV (8) 2020: 118-136
[c187]
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Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji:
Improving Face Recognition from Hard Samples via Distribution Distillation Loss. ECCV (30) 2020: 138-154
[c186]
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Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian:
API-Net: Robust Generative Classifier via a Single Discriminator. ECCV (13) 2020: 379-394
[c185]
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Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji:
SSCGAN: Facial Attribute Editing via Style Skip Connections. ECCV (15) 2020: 414-429
[c184]
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Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. ECCV (25) 2020: 564-580
[c183]
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Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian:
Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification. ECCV (7) 2020: 594-611
[c182]
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Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Interpretable Neural Network Decoupling. ECCV (15) 2020: 653-669
[c181]
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Wenjie Ding, Xing Wei, Rongrong Ji, Xiaopeng Hong, Yihong Gong:
Polynomial Universal Adversarial Perturbations for Person Re-Identification. ICPR 2020: 1144-1151
[c180]
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Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. IJCAI 2020: 673-679
[c179]
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Shuyi Ji, Yifan Feng, Rongrong Ji, Xibin Zhao, Wanwan Tang, Yue Gao:
Dual Channel Hypergraph Collaborative Filtering. KDD 2020: 2020-2029
[c178]
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Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Gen Luo, Xiaopeng Hong, Jinsong Su, Xinghao Ding, Ling Shao:
K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering. ACM Multimedia 2020: 1245-1254
[c177]
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Gen Luo, Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Jinsong Su, Chia-Wen Lin, Qi Tian:
Cascade Grouped Attention Network for Referring Expression Segmentation. ACM Multimedia 2020: 1274-1282
[c176]
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Xiaoshuai Sun, Xuying Zhang, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploring Language Prior for Mode-Sensitive Visual Attention Modeling. ACM Multimedia 2020: 4199-4207
[c175]
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Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Rongrong Ji, Fuhai Chen, Jianzhuang Liu, Qi Tian:
Attacking Image Captioning Towards Accuracy-Preserving Target Words Removal. ACM Multimedia 2020: 4226-4234
[c174]
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Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin:
Rotated Binary Neural Network. NeurIPS 2020
[c173]
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Yunhang Shen, Rongrong Ji, Zhiwei Chen, Yongjian Wu, Feiyue Huang:
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection. NeurIPS 2020
[i67]
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  - journals/corr/abs-2001-05868
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Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu:
Filter Grafting for Deep Neural Networks. CoRR abs/2001.05868 (2020)
[i66]
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Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian:
Filter Sketch for Network Pruning. CoRR abs/2001.08514 (2020)
[i65]
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Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. CoRR abs/2001.08565 (2020)
[i64]
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Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji:
Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples. CoRR abs/2002.03662 (2020)
[i63]
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Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning using High-Rank Feature Map. CoRR abs/2002.10179 (2020)
[i62]
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  - journals/corr/abs-2003-06761
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Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji:
Siamese Box Adaptive Network for Visual Tracking. CoRR abs/2003.06761 (2020)
[i61]
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  - journals/corr/abs-2003-08813
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Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji:
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. CoRR abs/2003.08813 (2020)
[i60]
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  - journals/corr/abs-2003-11228
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Bin Zhang, Jian Li, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yili Xia, Wenjiang Pei, Rongrong Ji:
ASFD: Automatic and Scalable Face Detector. CoRR abs/2003.11228 (2020)
[i59]
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  - journals/corr/abs-2003-13268
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Jie Hu, Rongrong Ji, Qixiang Ye, Tong Tong, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao:
Architecture Disentanglement for Deep Neural Networks. CoRR abs/2003.13268 (2020)
[i58]
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  - journals/corr/abs-2004-08787
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Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian:
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification. CoRR abs/2004.08787 (2020)
[i57]
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  - journals/corr/abs-2005-03837
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Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. CoRR abs/2005.03837 (2020)
[i56]
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  - journals/corr/abs-2005-09917
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Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. CoRR abs/2005.09917 (2020)
[i55]
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  - journals/corr/abs-2006-09142
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Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Guodong Guo, Rongrong Ji:
Cogradient Descent for Bilinear Optimization. CoRR abs/2006.09142 (2020)
[i54]
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  - journals/corr/abs-2007-01546
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Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian:
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification. CoRR abs/2007.01546 (2020)
[i53]
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  - journals/corr/abs-2007-13249
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Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Qi Tian, Rongrong Ji:
Dual Distribution Alignment Network for Generalizable Person Re-Identification. CoRR abs/2007.13249 (2020)
[i52]
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  - journals/corr/abs-2007-13264
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Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Rongrong Ji:
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation. CoRR abs/2007.13264 (2020)
[i51]
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  - journals/corr/abs-2008-00698
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Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann:
Anti-Bandit Neural Architecture Search for Model Defense. CoRR abs/2008.00698 (2020)
[i50]
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  - journals/corr/abs-2009-04247
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Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. CoRR abs/2009.04247 (2020)
[i49]
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  - journals/corr/abs-2009-05757
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Jinpeng Wang, Yuting Gao, Ke Li, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun:
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. CoRR abs/2009.05757 (2020)
[i48]
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  - journals/corr/abs-2009-13055
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Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin:
Rotated Binary Neural Network. CoRR abs/2009.13055 (2020)
[i47]
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  - journals/corr/abs-2011-04212
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Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. CoRR abs/2011.04212 (2020)
[i46]
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  - journals/corr/abs-2011-08382
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Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji:
Learning Efficient GANs using Differentiable Masks and co-Attention Distillation. CoRR abs/2011.08382 (2020)
[i45]
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  - journals/corr/abs-2012-00318
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Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-wise Updating for Online Hashing. CoRR abs/2012.00318 (2020)
[i44]
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  - journals/corr/abs-2012-07061
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Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji:
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. CoRR abs/2012.07061 (2020)

2010 – 2019

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2019
[j119]
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  - journals/access/PengZSSJ19
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Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Jinsong Su, Rongrong Ji:
Social Media Based Topic Modeling for Smart Campus: A Deep Topical Correlation Analysis Method. IEEE Access 7: 7555-7564 (2019)
[j118]
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  - journals/irmj/LiuJ19
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Wenlong Liu, Rongrong Ji:
Do Hotel Responses Matter?: A Comprehensive Perspective on Investigating Online Reviews. Inf. Resour. Manag. J. 32(3): 70-89 (2019)
[j117]
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  - journals/mta/LinLZJ19
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Xianming Lin, Jie Li, Hualin Zeng, Rongrong Ji:
Font generation based on least squares conditional generative adversarial nets. Multim. Tools Appl. 78(1): 783-797 (2019)
[j116]
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  - journals/pami/LiuJWS19
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Hong Liu, Rongrong Ji, Jingdong Wang, Chunhua Shen:
Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 941-955 (2019)
[j115]
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  - journals/pami/LinJCTL19
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Shaohui Lin, Rongrong Ji, Chao Chen, Dacheng Tao, Jiebo Luo:
Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2889-2905 (2019)
[j114]
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  - journals/tie/WangZZMJG19
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Nan Wang, Zizhao Zhang, Xibin Zhao, Quan Miao, Rongrong Ji, Yue Gao:
Exploring High-Order Correlations for Industry Anomaly Detection. IEEE Trans. Ind. Electron. 66(12): 9682-9691 (2019)
[j113]
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  - journals/tip/JinJGSZT19
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Taisong Jin, Rongrong Ji, Yue Gao, Xiaoshuai Sun, Xibin Zhao, Dacheng Tao:
Correntropy-Induced Robust Low-Rank Hypergraph. IEEE Trans. Image Process. 28(6): 2755-2769 (2019)
[j112]
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  - journals/tip/LiZCYHGJ19
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Ce Li, Baochang Zhang, Chen Chen, Qixiang Ye, Jungong Han, Guodong Guo, Rongrong Ji:
Deep Manifold Structure Transfer for Action Recognition. IEEE Trans. Image Process. 28(9): 4646-4658 (2019)
[j111]
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  - journals/tmm/JiCCG19
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Rongrong Ji, Fuhai Chen, Liujuan Cao, Yue Gao:
Cross-Modality Microblog Sentiment Prediction via Bi-Layer Multimodal Hypergraph Learning. IEEE Trans. Multim. 21(4): 1062-1075 (2019)
[j110]
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  - journals/tnn/ZhangJHLL19
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Shengchuan Zhang, Rongrong Ji, Jie Hu, Xiaoqiang Lu, Xuelong Li:
Face Sketch Synthesis by Multidomain Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1419-1428 (2019)
[c172]
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  - conf/aaai/FengYZJG19
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Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao:
Hypergraph Neural Networks. AAAI 2019: 3558-3565
[c171]
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  - conf/aaai/LinJLSWW19
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Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu:
Towards Optimal Discrete Online Hashing with Balanced Similarity. AAAI 2019: 8722-8729
[c170]
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  - conf/aaai/LiuLWJ19
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Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji:
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. AAAI 2019: 8746-8753
[c169]
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  - conf/aaai/YouFZZJG19
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Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao:
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition. AAAI 2019: 9119-9126
[c168]
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  - conf/aaai/ZhengJSZWH19
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Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang:
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. AAAI 2019: 9291-9298
[c167]
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  - conf/aaai/ZhouJSLS19
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Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun:
Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning. AAAI 2019: 9316-9323
[c166]
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