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2020 – today
- 2025
[j181]Feng Wei
, Jucheng Yang, Yuan Wang, Liang Lin, Haibin Zhang:
Prior knowledge-guided multi-information graph convolutional network for driver drowsiness detection. Expert Syst. Appl. 275: 127028 (2025)- [j180]Xiaojun Yang, Chuanjie Cao, Keyi Zhou, Siyuan Peng, Zheng Wang, Liang Lin, Feiping Nie:
A novel linear discriminant analysis based on alternate ratio sum minimization. Inf. Sci. 689: 121444 (2025) - [j179]Yulong Jia, Jiaming Li, Ganlong Zhao, Shuangyin Liu, Weijun Sun, Liang Lin, Guanbin Li:
Enhancing out-of-distribution detection via diversified multi-prototype contrastive learning. Pattern Recognit. 161: 111214 (2025) - [j178]Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Junfan Lin, Liang Lin:
Road Network-Guided Fine-Grained Urban Traffic Flow Inference. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1119-1132 (2025) - [c267]Wentao Wan, Zhuojie Yang, Yongcan Chen, Chenglin Luo, Ruilin Wang, Kehao Cai, Nan Kang, Liang Lin, Keze Wang:
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks. AAAI 2025: 15186-15194 - [c266]Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang:
Monitoring Primitive Interactions During the Training of DNNs. AAAI 2025: 20183-20191 - [i298]Wentao Wan, Zhuojie Yang, Yongcan Chen, Chenglin Luo, Ruilin Wang, Kehao Cai, Nan Kang, Liang Lin, Keze Wang:
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks. CoRR abs/2501.11599 (2025) - [i297]Zhongzhan Huang, Shanshan Zhong, Pan Zhou, Shanghua Gao, Marinka Zitnik, Liang Lin:
A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. CoRR abs/2501.15147 (2025) - [i296]Ziyi Dong, Yao Xiao, Pengxu Wei, Liang Lin:
Decoder-Only LLMs are Better Controllers for Diffusion Models. CoRR abs/2502.04412 (2025) - [i295]Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan:
Pre-Trained Video Generative Models as World Simulators. CoRR abs/2502.07825 (2025) - [i294]Junpeng Zhang, Lei Cheng, Qing Li, Liang Lin, Quanshi Zhang:
Randomness of Low-Layer Parameters Determines Confusing Samples in Terms of Interaction Representations of a DNN. CoRR abs/2502.08625 (2025) - [i293]Yukai Shi, Cidan Shi, Zhipeng Weng, Yin Tian, Xiaoyu Xian, Liang Lin:
CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond. CoRR abs/2502.14493 (2025) - [i292]Ziyi Tang, Zechuan Chen, Jiarui Yang, Jiayao Mai, Yongsen Zheng, Keze Wang, Jinrui Chen, Liang Lin:
AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay. CoRR abs/2502.16789 (2025) - [i291]Jingzhou Luo, Yang Liu, Weixing Chen, Zhen Li, Yaowei Wang, Guanbin Li, Liang Lin:
DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering. CoRR abs/2503.03190 (2025) - [i290]Weixing Chen, Yang Liu, Binglin Chen, Jiandong Su, Yongsen Zheng, Liang Lin:
Cross-modal Causal Relation Alignment for Video Question Grounding. CoRR abs/2503.07635 (2025) - [i289]Zhongzhan Huang, Guoming Ling, Vincent S. Liang, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin:
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs. CoRR abs/2503.10657 (2025) - [i288]Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin:
Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering. CoRR abs/2503.11117 (2025) - [i287]Zijian He, Yuwei Ning, Yipeng Qin, Wangrun Wang, Sibei Yang, Liang Lin, Guanbin Li:
VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction. CoRR abs/2503.12165 (2025) - [i286]Ziyu Lin, Yunfan Wu, Yuhang Ma, Junzhou Chen, Ronghui Zhang, Jiaming Wu, Guodong Yin, Liang Lin:
YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction. CoRR abs/2503.13883 (2025) - 2024
- [j177]Tao Pu, Tianshui Chen, Hefeng Wu, Yukai Shi, Zhijing Yang, Liang Lin:
Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels. Expert Syst. Appl. 249: 123526 (2024) - [j176]Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu:
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning. Int. J. Comput. Vis. 132(12): 5888-5904 (2024) - [j175]Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin:
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels. Int. J. Comput. Vis. 132(12): 6091-6106 (2024) - [j174]Xiaoyu Xian, Dan Liu, Daxin Tian, Yin Tian, Wei Jiang, Yukai Shi, Liang Lin:
An advanced subway train localization system using a vision-based kilometer marker recognition-assisted multi-sensor fusion method. Int. J. Gen. Syst. 53(5): 622-650 (2024) - [j173]Yingpeng Wen, Zhilin Qiu, Dongyu Zhang, Dan Huang, Nong Xiao, Liang Lin:
Accelerating Massively Distributed Deep Learning Through Efficient Pseudo-Synchronous Update Method. Int. J. Parallel Program. 52(3): 125-146 (2024) - [j172]Liang Lin, Song Wang, Jucheng Yang, Feng Wei:
A multi-aware graph convolutional network for driver drowsiness detection. Knowl. Based Syst. 305: 112643 (2024) - [j171]Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin:
DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2722-2740 (2024) - [j170]Yupei Lin, Xiaoyu Xian, Yukai Shi, Liang Lin:
MirrorDiffusion: Stabilizing Diffusion Process in Zero-Shot Image Translation by Prompts Redescription and Beyond. IEEE Signal Process. Lett. 31: 306-310 (2024) - [j169]Jinghui Qin, Zhongzhan Huang, Ying Zeng, Quanshi Zhang, Liang Lin:
An Introspective Data Augmentation Method for Training Math Word Problem Solvers. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3113-3127 (2024) - [j168]Huakun Huang, Liang Lin, Lingjun Zhao, Huawei Huang, Shuxue Ding:
TSHNN: Temporal-Spatial Hybrid Neural Network for Cognitive Wireless Human Activity Recognition. IEEE Trans. Cogn. Commun. Netw. 10(6): 2088-2101 (2024) - [j167]Wenwei Song, Wenxiong Kang, Liang Lin:
Hand Gesture Authentication by Discovering Fine-Grained Spatiotemporal Identity Characteristics. IEEE Trans. Circuits Syst. Video Technol. 34(1): 461-474 (2024) - [j166]Hefeng Wu, Weifeng Chen, Zhibin Liu, Tianshui Chen, Zhiguang Chen, Liang Lin:
Contrastive Transformer Learning With Proximity Data Generation for Text-Based Person Search. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7005-7016 (2024) - [j165]Yahao Lu, Yupei Lin, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin:
SIRST-5K: Exploring Massive Negatives Synthesis With Self-Supervised Learning for Robust Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j164]Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin:
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j163]Meilin Wang, Yexing Song, Pengxu Wei, Xiaoyu Xian, Yukai Shi, Liang Lin:
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j162]Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin:
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation. IEEE Trans. Image Process. 33: 556-568 (2024) - [j161]Tianshui Chen, Weihang Wang, Tao Pu, Jinghui Qin, Zhijing Yang, Jie Liu, Liang Lin:
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration. IEEE Trans. Image Process. 33: 4811-4823 (2024) - [j160]Guanbin Li, Zhuohua Chen, Mingzhi Mao, Liang Lin, Chaowei Fang:
Uncertainty-Aware Active Domain Adaptive Salient Object Detection. IEEE Trans. Image Process. 33: 5510-5524 (2024) - [j159]Xipeng Chen, Junzheng Zhang, Keze Wang, Pengxu Wei, Liang Lin:
Multi-Person 3D Pose Estimation With Occlusion Reasoning. IEEE Trans. Multim. 26: 878-889 (2024) - [j158]Yuefang Gao, Yuhao Xie, Zeke Zexi Hu, Tianshui Chen, Liang Lin:
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition. IEEE Trans. Multim. 26: 6676-6688 (2024) - [j157]Junpeng Tan, Xiaojun Yang, Zhijing Yang, Ruihan Chen, Yongyi Lu, Liang Lin:
Extensible Max-Min Collaborative Retention for Online Mini-Batch Learning Hash Retrieval. IEEE Trans. Multim. 26: 6743-6758 (2024) - [j156]Ronghui Zhang, Jiongze Yu, Junzhou Chen, Guofa Li, Liang Lin, Danwei Wang:
A Prior Guided Wavelet-Spatial Dual Attention Transformer Framework for Heavy Rain Image Restoration. IEEE Trans. Multim. 26: 7043-7057 (2024) - [j155]Cidan Shi, Lihuang Fang, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin:
NiteDR: Nighttime Image De-Raining With Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes. IEEE Trans. Multim. 26: 9203-9215 (2024) - [j154]Ruihan Chen, Junpeng Tan, Zhijing Yang, Xiaojun Yang, Qingyun Dai, Yongqiang Cheng, Liang Lin:
DPHANet: Discriminative Parallel and Hierarchical Attention Network for Natural Language Video Localization. IEEE Trans. Multim. 26: 9575-9590 (2024) - [j153]Tao Pu, Qianru Lao, Hefeng Wu, Tianshui Chen, Ling Tian, Jie Liu, Liang Lin:
Category-Adaptive Label Discovery and Noise Rejection for Multi-Label Recognition With Partial Positive Labels. IEEE Trans. Multim. 26: 9591-9602 (2024) - [j152]Hefeng Wu, Hao Jiang, Keze Wang, Ziyi Tang, Xianghuan He, Liang Lin:
Improving Network Interpretability via Explanation Consistency Evaluation. IEEE Trans. Multim. 26: 11261-11273 (2024) - [j151]Hefeng Wu, Guangzhi Ye, Ziyang Zhou, Ling Tian, Qing Wang, Liang Lin:
Dual-View Data Hallucination With Semantic Relation Guidance for Few-Shot Image Recognition. IEEE Trans. Multim. 26: 11302-11315 (2024) - [j150]Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2747-2758 (2024) - [j149]Jinghui Qin, Zhicheng Yang, Jiaqi Chen, Xiaodan Liang, Liang Lin:
Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12823-12835 (2024) - [j148]Yongsen Zheng, Pengxu Wei, Ziliang Chen, Chengpei Tang, Liang Lin:
Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14233-14246 (2024) - [j147]Yongsen Zheng, Jinghui Qin, Pengxu Wei, Ziliang Chen, Liang Lin:
CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17123-17136 (2024) - [j146]Jingyu Zhuang, Di Kang, Yan-Pei Cao, Guanbin Li, Liang Lin, Ying Shan:
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts. ACM Trans. Graph. 43(4): 121:1-121:12 (2024) - [j145]Haofeng Li, Tian Tan, Yue Li, Jie Lu, Haining Meng, Liqing Cao, Yongheng Huang, Lian Li, Lin Gao, Peng Di, Liang Lin, ChenXi Cui:
Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis. IEEE Trans. Software Eng. 50(5): 1144-1162 (2024) - [c265]Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang:
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. AAAI 2024: 1110-1119 - [c264]Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin:
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. AAAI 2024: 9405-9413 - [c263]Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin:
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. AAAI 2024: 11471-11479 - [c262]Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin:
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation. ACL (1) 2024: 2526-2537 - [c261]Qingxing Cao, Junhao Cheng, Xiaodan Liang, Liang Lin:
VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models. ACL (1) 2024: 12161-12176 - [c260]Tianshui Chen, Jianman Lin, Zhijing Yang, Chunmei Qing, Liang Lin:
Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation. CVPR 2024: 7267-7276 - [c259]Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou:
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CVPR 2024: 13246-13257 - [c258]Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li:
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection. CVPR 2024: 16678-16687 - [c257]Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang:
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CVPR 2024: 21230-21240 - [c256]Zhongzhan Huang, Shanshan Zhong, Wushao Wen, Jinghui Qin, Liang Lin:
Stripe Observation Guided Inference Cost-Free Attention Mechanism. ECCV (24) 2024: 90-107 - [c255]Kuo Wang, Lechao Cheng, Weikai Chen, Pingping Zhang, Liang Lin, Fan Zhou, Guanbin Li:
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection. ECCV (17) 2024: 106-122 - [c254]Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin:
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. ECCV (17) 2024: 123-139 - [c253]Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin, Kwok-Yan Lam:
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation. EMNLP 2024: 1455-1466 - [c252]Jingyu Zhuang, Kuo Wang, Liang Lin, Guanbin Li:
Credible Teacher for Semi-Supervised Object Detection in Open Scene. ICASSP 2024: 5135-5139 - [c251]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network*. ICME 2024: 1-6 - [c250]Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin:
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. ICML 2024 - [c249]Junrong Lian, Ziyue Dong, Pengxu Wei, Wei Ke, Chang Liu, Qixiang Ye, Xiangyang Ji, Liang Lin:
Kepler codebook. ICML 2024 - [c248]Xinyu Wang, Tao Pu, Dongyu Zhang, Liang Lin:
Semantic Correlation Adaptation for Union-Set Multi-label Image Recognition. ICPR (3) 2024: 210-225 - [c247]Zhihua Xu, Tianshui Chen, Zhijing Yang, Chunmei Qing, Yukai Shi, Liang Lin:
Self-Supervised Emotion Representation Disentanglement for Speech-Preserving Facial Expression Manipulation. ACM Multimedia 2024: 3800-3808 - [c246]Yongsen Zheng, Guohua Wang, Yang Liu, Liang Lin:
Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation. ACM Multimedia 2024: 9515-9524 - [c245]Ziyi Dong, Yao Xiao, Pengxu Wei, Liang Lin:
Decoder-Only LLMs are Better Controllers for Diffusion Models. ACM Multimedia 2024: 10957-10965 - [c244]Xiaoyu Xian, Jinghui Qin, Yukai Shi, Daxin Tian, Liang Lin:
Exploring Out-of-Distribution Scene Text Recognition for Driving Scenes with Hybrid Test-Time Adaptation. PRCV (1) 2024: 65-80 - [c243]Wei Li, Jiachi Zhang, Ye Yin, Yan Li, Zhanyang Zhu, Wenchao Zhou, Liang Lin, Feifei Li:
Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB. SIGMOD Conference Companion 2024: 255-268 - [c242]Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin:
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. WWW 2024: 3700-3711 - [i285]Jingyu Zhuang, Kuo Wang, Liang Lin, Guanbin Li:
Credible Teacher for Semi-Supervised Object Detection in Open Scene. CoRR abs/2401.00695 (2024) - [i284]Yupei Lin, Xiaoyu Xian, Yukai Shi, Liang Lin:
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond. CoRR abs/2401.03221 (2024) - [i283]Hefeng Wu, Guangzhi Ye, Ziyang Zhou, Ling Tian, Qing Wang, Liang Lin:
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition. CoRR abs/2401.07061 (2024) - [i282]Yuefang Gao, Yuhao Xie, Zeke Zexi Hu, Tianshui Chen, Liang Lin:
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition. CoRR abs/2401.11085 (2024) - [i281]Jingyu Zhuang, Di Kang, Yan-Pei Cao, Guanbin Li, Liang Lin, Ying Shan:
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts. CoRR abs/2401.14828 (2024) - [i280]Yang Liu, Xinshuai Song, Kaixuan Jiang, Weixing Chen, Jingzhou Luo, Guanbin Li, Liang Lin:
Multimodal Embodied Interactive Agent for Cafe Scene. CoRR abs/2402.00290 (2024) - [i279]Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin:
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. CoRR abs/2402.11262 (2024) - [i278]Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang:
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CoRR abs/2402.17483 (2024) - [i277]Cidan Shi, Lihuang Fang, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin:
NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes. CoRR abs/2402.18172 (2024) - [i276]Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin:
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions. CoRR abs/2403.01326 (2024) - [i275]Yahao Lu, Yupei Lin, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin:
SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection. CoRR abs/2403.05416 (2024) - [i274]Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin:
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning. CoRR abs/2403.05770 (2024) - [i273]Meilin Wang, Yexing Song, Pengxu Wei, Xiaoyu Xian, Yukai Shi, Liang Lin:
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images. CoRR abs/2403.11870 (2024) - [i272]Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Philip Torr, Liang Lin:
AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment. CoRR abs/2404.04946 (2024) - [i271]Yiming Liu, Kezhao Liu, Yao Xiao, Ziyi Dong, Xiaogang Xu, Pengxu Wei, Liang Lin:
Towards Better Adversarial Purification via Adversarial Denoising Diffusion Training. CoRR abs/2404.14309 (2024) - [i270]Weifeng Chen, Jiacheng Zhang, Jie Wu, Hefeng Wu, Xuefeng Xiao, Liang Lin:
ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning. CoRR abs/2404.15449 (2024) - [i269]Yang Liu, Binglin Chen, Yongsen Zheng, Guanbin Li, Liang Lin:
Fine-grained Spatial-temporal MLP Architecture for Metro Origin-Destination Prediction. CoRR abs/2404.15734 (2024) - [i268]Junpeng Zhang, Qing Li, Liang Lin, Quanshi Zhang:
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features. CoRR abs/2405.10262 (2024) - [i267]Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang:
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs. CoRR abs/2405.11880 (2024) - [i266]Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li:
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection. CoRR abs/2406.00510 (2024) - [i265]Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin:
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. CoRR abs/2406.00632 (2024) - [i264]Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin:
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. CoRR abs/2406.02990 (2024) - [i263]Tianshui Chen, Weihang Wang, Tao Pu, Jinghui Qin, Zhijing Yang, Jie Liu, Liang Lin:
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration. CoRR abs/2407.06844 (2024) - [i262]Yang Liu, Weixing Chen, Yongjie Bai, Guanbin Li, Wen Gao, Liang Lin:
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI. CoRR abs/2407.06886 (2024) - [i261]Ming-Liang Zhang, Zhong-Zhi Li, Fei Yin, Liang Lin, Cheng-Lin Liu:
Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram. CoRR abs/2407.07327 (2024) - [i260]Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin:
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. CoRR abs/2407.10625 (2024) - [i259]Yukai Shi, Zhipeng Weng, Yupei Lin, Cidan Shi, Xiaojun Yang, Liang Lin:
CrossDehaze: Scaling Up Image Dehazing with Cross-Data Vision Alignment and Augmentation. CoRR abs/2407.14823 (2024) - [i258]Kuo Wang, Lechao Cheng, Weikai Chen, Pingping Zhang, Liang Lin, Fan Zhou, Guanbin Li:
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection. CoRR abs/2407.21465 (2024) - [i257]Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao:
VideoQA in the Era of LLMs: An Empirical Study. CoRR abs/2408.04223 (2024) - [i256]Hefeng Wu, Hao Jiang, Keze Wang, Ziyi Tang, Xianghuan He, Liang Lin:
Improving Network Interpretability via Explanation Consistency Evaluation. CoRR abs/2408.04600 (2024) - [i255]Weizhi Zhong, Jichang Li, Yinqi Cai, Liang Lin, Guanbin Li:
Style-Preserving Lip Sync via Audio-Aware Style Reference. CoRR abs/2408.05412 (2024) - [i254]Weizhi Zhong, Junfan Lin, Peixin Chen, Liang Lin, Guanbin Li:
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model. CoRR abs/2408.05416 (2024) - [i253]Zhiqiang Wang, Hao Zheng, Yunshuang Nie, Wenjun Xu, Qingwei Wang, Hua Ye, Zhe Li, Kaidong Zhang, Xuewen Cheng, Wanxi Dong, Chang Cai, Liang Lin, Feng Zheng, Xiaodan Liang:
All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents. CoRR abs/2408.10899 (2024) - [i252]Zhenming Yu, Liming Cheng, Hongyu Huang, Wei Zhang, Liang Lin, Kun Xu:
Integration of Communication and Computational Imaging. CoRR abs/2410.19415 (2024) - [i251]Hossein Hassani, Roozbeh Razavi-Far, Mehrdad Saif, Liang Lin:
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review. CoRR abs/2411.10268 (2024) - [i250]Jingyu Zhuang, Di Kang, Linchao Bao, Liang Lin, Guanbin Li:
DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh. CoRR abs/2411.15205 (2024) - [i249]Pengzhen Ren, Min Li, Zhen Luo, Xinshuai Song, Ziwei Chen, Weijia Liufu, Yixuan Yang, Hao Zheng, Rongtao Xu, Zitong Huang, Tongsheng Ding, Luyang Xie, Kaidong Zhang, Changfei Fu, Yang Liu, Liang Lin, Feng Zheng, Xiaodan Liang:
InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction. CoRR abs/2412.05789 (2024) - [i248]Haijing Liu, Tao Pu, Hefeng Wu, Keze Wang, Liang Lin:
Category-Adaptive Cross-Modal Semantic Refinement and Transfer for Open-Vocabulary Multi-Label Recognition. CoRR abs/2412.06190 (2024) - 2023
- [j144]Ke Tang, Lan Cheng, Xiao Wang, Chenqiang Pan, Liang Lin, Li Dong, Bo Li:
Research on Digital Monitoring Technology for Airport High-Pressure Rotary Jet Piles. IEEE Access 11: 112731-112752 (2023) - [j143]Zhaohuan Zhan, Liang Lin, Guang Tan:
Object-aware navigation for remote embodied visual referring expression. Neurocomputing 515: 68-78 (2023) - [j142]Tao Pu, Mingzhan Sun, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin:
Semantic representation and dependency learning for multi-label image recognition. Neurocomputing 526: 121-130 (2023) - [j141]Kuo Wang, Lingbo Liu, Yang Liu, Guanbin Li, Fan Zhou, Liang Lin:
Urban regional function guided traffic flow prediction. Inf. Sci. 634: 308-320 (2023) - [j140]Jinghui Qin, Lihuang Fang, Ruitao Lu, Liang Lin, Yukai Shi:
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j139]Lin Nie, Junfan Lin, Wenxiong Kang, Yukai Shi, Liang Lin:
Learning image blind denoisers without explicit noise modeling. Multim. Tools Appl. 82(18): 27839-27859 (2023) - [j138]Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin:
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3574-3589 (2023) - [j137]Yiming Gao, Zhanghui Kuang, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7019-7034 (2023) - [j136]Changxin Huang, Guangrun Wang, Zhibo Zhou, Ronghui Zhang, Liang Lin:
Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7686-7695 (2023) - [j135]Yang Liu, Guanbin Li, Liang Lin:
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11624-11641 (2023) - [j134]Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11668-11688 (2023) - [j133]Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin:
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12535-12549 (2023) - [j132]Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin:
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13363-13375 (2023) - [j131]Liang Lin, Yuhan Li, Bin Wu, Huijun Mai, Renjie Lou, Jian Tan, Feifei Li:
Anser: Adaptive Information Sharing Framework of AnalyticDB. Proc. VLDB Endow. 16(12): 3636-3648 (2023) - [j130]Junying Huang, Junhao Cao, Liang Lin, Dongyu Zhang:
IRA-FSOD: Instant-Response and Accurate Few-Shot Object Detector. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6912-6923 (2023) - [j129]Yuying Zhu, Yang Zhang, Lingbo Liu, Yang Liu, Guanbin Li, Mingzhi Mao, Liang Lin:
Hybrid-Order Representation Learning for Electricity Theft Detection. IEEE Trans. Ind. Informatics 19(2): 1248-1259 (2023) - [j128]Pengxu Wei, Ziwei Xie, Guanbin Li, Liang Lin:
Taylor Neural Network for Real-World Image Super-Resolution. IEEE Trans. Image Process. 32: 1942-1951 (2023) - [j127]Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin:
Graph-Convolved Factorization Machines for Personalized Recommendation. IEEE Trans. Knowl. Data Eng. 35(2): 1567-1580 (2023) - [j126]Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin:
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. IEEE Trans. Multim. 25: 1477-1488 (2023) - [j125]Si Liu, Renda Bao, Defa Zhu, Shaofei Huang, Qiong Yan, Liang Lin, Chao Dong:
Fine-Grained Face Editing via Personalized Spatial-Aware Affine Modulation. IEEE Trans. Multim. 25: 4213-4224 (2023) - [j124]Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi:
Real-World Image Super-Resolution by Exclusionary Dual-Learning. IEEE Trans. Multim. 25: 4752-4763 (2023) - [j123]Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin:
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-Identification. IEEE Trans. Multim. 25: 7917-7929 (2023) - [j122]Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin:
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3308-3322 (2023) - [c241]Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu:
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. AAAI 2023: 1568-1576 - [c240]Yuxiang Nie, Chaowei Fang, Lechao Cheng, Liang Lin, Guanbin Li:
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection. AAAI 2023: 1966-1974 - [c239]Kuo Wang, Jingyu Zhuang, Guanbin Li, Chaowei Fang, Lechao Cheng, Liang Lin, Fan Zhou:
De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection. AAAI 2023: 2573-2580 - [c238]Yang Wu, Pengxu Wei, Liang Lin:
Scene Graph to Image Synthesis via Knowledge Consensus. AAAI 2023: 2856-2865 - [c237]Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li:
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CVPR 2023: 9729-9738 - [c236]Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin:
Masked Images Are Counterfactual Samples for Robust Fine-Tuning. CVPR 2023: 20301-20310 - [c235]Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen:
Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless Training. CVPR 2023: 23222-23231 - [c234]Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin:
HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System. EMNLP 2023: 10281-10290 - [c233]Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li:
Enhanced Soft Label for Semi-Supervised Semantic Segmentation. ICCV 2023: 1185-1195 - [c232]Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin:
Understanding Self-attention Mechanism via Dynamical System Perspective. ICCV 2023: 1412-1422 - [c231]Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li:
RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels. ICCV 2023: 1644-1654 - [c230]Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin:
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training. ICCV 2023: 5583-5595 - [c229]Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang:
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. ICCV 2023: 8710-8719 - [c228]Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin:
Towards Real-World Burst Image Super-Resolution: Benchmark and Method. ICCV 2023: 13187-13196 - [c227]Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo:
A Retrospect to Multi-prompt Learning across Vision and Language. ICCV 2023: 22133-22144 - [c226]Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin:
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. ICCV 2023: 22612-22622 - [c225]Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang:
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. ICCV 2023: 23097-23106 - [c224]Yang Wu, Zhibin Liu, Hefeng Wu, Liang Lin:
Multi-object Video Generation from Single Frame Layouts. ICME 2023: 2249-2254 - [c223]Yao Xiao, Pengxu Wei, Cong Liu, Liang Lin:
Adversarially Robust Source-free Domain Adaptation with Relaxed Adversarial Training. ICME 2023: 2681-2686 - [c222]Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin:
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. IJCAI 2023: 6058-6066 - [c221]Yang Zhang, Lingbo Liu, Xinyu Xiong, Guanbin Li, Guoli Wang, Liang Lin:
Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer. IJCAI 2023: 6308-6316 - [c220]Yushen Wei, Yang Liu, Hong Yan, Guanbin Li, Liang Lin:
Visual Causal Scene Refinement for Video Question Answering. ACM Multimedia 2023: 377-386 - [c219]Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin:
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models. ACM Multimedia 2023: 567-578 - [c218]Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin:
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. NeurIPS 2023 - [c217]Wei Yan, Ning Xiao, Pan Jiang, Hongkai Wang, Yilong Yuan, Liang Lin, Chang Liu:
Ego Lane Estimation Using Visual Information and High Definition Map. PLANS 2023: 603-608 - [c216]Pan Jiang, Wei Yan, Hongkai Wang, Yilong Yuan, Jin He, Liang Lin, Chang Liu:
A low-cost lane-level navigation algorithm based on visual information. PLANS 2023: 1380-1384 - [c215]Junzheng Zhang, Xipeng Chen, Keze Wang, Pengxu Wei, Liang Lin:
FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features. PRCV (2) 2023: 54-65 - [c214]Liucun Lu, Jinghui Qin, Zequn Jie, Lin Ma, Liang Lin, Xiaodan Liang:
RecFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog. PRCV (1) 2023: 159-171 - [c213]Jingyu Zhuang, Chen Wang, Liang Lin, Lingjie Liu, Guanbin Li:
DreamEditor: Text-Driven 3D Scene Editing with Neural Fields. SIGGRAPH Asia 2023: 26:1-26:10 - [i247]Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin:
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification. CoRR abs/2301.00531 (2023) - [i246]Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin:
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. CoRR abs/2301.00965 (2023) - [i245]Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu:
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. CoRR abs/2302.06072 (2023) - [i244]Zhongzhan Huang, Mingfu Liang, Liang Lin:
On Robust Numerical Solver for ODE via Self-Attention Mechanism. CoRR abs/2302.10184 (2023) - [i243]Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin:
Masked Images Are Counterfactual Samples for Robust Fine-tuning. CoRR abs/2303.03052 (2023) - [i242]Weixing Chen, Yang Liu, Ce Wang, Guanbin Li, Jiarui Zhu, Liang Lin:
Visual-Linguistic Causal Intervention for Radiology Report Generation. CoRR abs/2303.09117 (2023) - [i241]Kuo Wang, Lingbo Liu, Yang Liu, Guanbin Li, Fan Zhou, Liang Lin:
Urban Regional Function Guided Traffic Flow Prediction. CoRR abs/2303.09789 (2023) - [i240]Junyang Chen, Xiaoyu Xian, Zhijing Yang, Tianshui Chen, Yongyi Lu, Yukai Shi, Jinshan Pan, Liang Lin:
Open-World Pose Transfer via Sequential Test-Time Adaption. CoRR abs/2303.10945 (2023) - [i239]ShanShan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin:
ASR: Attention-alike Structural Re-parameterization. CoRR abs/2304.06345 (2023) - [i238]Yang Liu, Guanbin Li, Liang Lin:
Causality-aware Visual Scene Discovery for Cross-Modal Question Reasoning. CoRR abs/2304.08083 (2023) - [i237]Yang Wu, Zhibin Liu, Hefeng Wu, Liang Lin:
Multi-object Video Generation from Single Frame Layouts. CoRR abs/2305.03983 (2023) - [i236]Yushen Wei, Yang Liu, Hong Yan, Guanbin Li, Liang Lin:
Visual Causal Scene Refinement for Video Question Answering. CoRR abs/2305.04224 (2023) - [i235]ShanShan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin:
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models. CoRR abs/2305.05189 (2023) - [i234]Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li:
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CoRR abs/2305.08293 (2023) - [i233]Weifeng Chen, Jie Wu, Pan Xie, Hefeng Wu, Jiashi Li, Xin Xia, Xuefeng Xiao, Liang Lin:
Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models. CoRR abs/2305.13840 (2023) - [i232]Yang Zhang, Lingbo Liu, Xinyu Xiong, Guanbin Li, Guoli Wang, Liang Lin:
Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer. CoRR abs/2305.18724 (2023) - [i231]Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin:
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. CoRR abs/2306.07553 (2023) - [i230]Jingyu Zhuang, Chen Wang, Lingjie Liu, Liang Lin, Guanbin Li:
DreamEditor: Text-Driven 3D Scene Editing with Neural Fields. CoRR abs/2306.13455 (2023) - [i229]Yang Liu, Weixing Chen, Guanbin Li, Liang Lin:
CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning. CoRR abs/2306.17462 (2023) - [i228]Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu:
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning. CoRR abs/2306.17699 (2023) - [i227]Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin:
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training. CoRR abs/2307.08476 (2023) - [i226]Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin:
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. CoRR abs/2308.06713 (2023) - [i225]Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin:
Understanding Self-attention Mechanism via Dynamical System Perspective. CoRR abs/2308.09939 (2023) - [i224]Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang:
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. CoRR abs/2308.10334 (2023) - [i223]Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang:
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. CoRR abs/2308.11206 (2023) - [i222]Ziyi Tang, Ruilin Wang, Weixing Chen, Keze Wang, Yang Liu, Tianshui Chen, Liang Lin:
Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs. CoRR abs/2308.11914 (2023) - [i221]Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang:
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. CoRR abs/2308.11971 (2023) - [i220]Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Jie Chen, Xiangyang Ji, Liang Lin:
Towards Real-World Burst Image Super-Resolution: Benchmark and Method. CoRR abs/2309.04803 (2023) - [i219]Wentao Wan, Zeqing Wang, Nan Kang, Keze Wang, Zhiyu Shen, Liang Lin:
VisualProg Distiller: Learning to Fine-tune Non-differentiable Visual Programming Frameworks. CoRR abs/2309.09809 (2023) - [i218]Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin:
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation. CoRR abs/2309.13237 (2023) - [i217]Jinghui Qin, Lihuang Fang, Ruitao Lu, Liang Lin, Yukai Shi:
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion. CoRR abs/2310.07255 (2023) - [i216]Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin:
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. CoRR abs/2310.13545 (2023) - [i215]Hefeng Wu, Weifeng Chen, Zhibin Liu, Tianshui Chen, Zhiguang Chen, Liang Lin:
Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search. CoRR abs/2311.09084 (2023) - [i214]Hefeng Wu, Yandong Chen, Lingbo Liu, Tianshui Chen, Keze Wang, Liang Lin:
SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting. CoRR abs/2311.10011 (2023) - [i213]Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou:
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CoRR abs/2312.02439 (2023) - [i212]Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin:
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. CoRR abs/2312.09758 (2023) - 2022
- [j121]Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin:
Causal Reasoning Meets Visual Representation Learning: A Prospective Study. Int. J. Autom. Comput. 19(6): 485-511 (2022) - [j120]Xiaojun Yang, Siyuan Li, Ke Liang, Feiping Nie, Liang Lin:
Structured graph optimization for joint spectral embedding and clustering. Neurocomputing 503: 62-72 (2022) - [j119]Xiaojun Yang, Guoquan Lin, Yijun Liu, Feiping Nie, Liang Lin:
Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j118]Lin Nie, Tianshui Chen, Zhouxia Wang, Wenxiong Kang, Liang Lin:
Multi-label image recognition with attentive transformer-localizer module. Multim. Tools Appl. 81(6): 7917-7940 (2022) - [j117]Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu:
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1371-1384 (2022) - [j116]Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin:
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1725-1737 (2022) - [j115]Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2504-2518 (2022) - [j114]Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin:
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7175-7189 (2022) - [j113]Jiangxin Dong, Jinshan Pan, Jimmy S. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Learning Spatially Variant Linear Representation Models for Joint Filtering. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8355-8370 (2022) - [j112]Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Lingbo Liu, Liang Lin:
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9887-9903 (2022) - [j111]Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin:
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition. IEEE Trans. Cybern. 52(6): 5015-5025 (2022) - [j110]Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin:
TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning. IEEE Trans. Image Process. 31: 1978-1993 (2022) - [j109]Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin:
Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction. IEEE Trans. Intell. Transp. Syst. 23(4): 3377-3391 (2022) - [j108]Liang Lin, Pengxiang Yan, Xiaoqian Xu, Sibei Yang, Kun Zeng, Guanbin Li:
Structured Attention Network for Referring Image Segmentation. IEEE Trans. Multim. 24: 1922-1932 (2022) - [j107]Yi Zhu, Xiwen Liang, Bingqian Lin, Qixiang Ye, Jianbin Jiao, Liang Lin, Xiaodan Liang:
Configurable Graph Reasoning for Visual Relationship Detection. IEEE Trans. Neural Networks Learn. Syst. 33(1): 117-129 (2022) - [j106]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2758-2767 (2022) - [j105]Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang:
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5401-5415 (2022) - [c212]Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. AAAI 2022: 339-346 - [c211]Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. AAAI 2022: 2091-2098 - [c210]Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li:
Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning. AAAI 2022: 3000-3008 - [c209]Zeng Lu, Tao Pu, Tianshui Chen, Liang Lin:
Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization. ACCV (5) 2022: 267-280 - [c208]Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li:
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution. CVPR 2022: 5657-5666 - [c207]Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang:
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. CVPR 2022: 9245-9254 - [c206]Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr:
Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. CVPR 2022: 9654-9665 - [c205]Ziyi Dong, Pengxu Wei, Liang Lin:
Adversarially-Aware Robust Object Detector. ECCV (9) 2022: 297-313 - [c204]Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang:
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. EMNLP (Findings) 2022: 1-13 - [c203]Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang:
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. EMNLP 2022: 3313-3323 - [c202]Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang:
Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy. ICASSP 2022: 1660-1664 - [c201]Zhengtao Wu, Lingbo Liu, Yang Zhang, Mingzhi Mao, Liang Lin, Guanbin Li:
Multimodal Crowd Counting with Mutual Attention Transformers. ICME 2022: 1-6 - [c200]Binbin Yang, Junhao Zhong, Pengxu Wei, Dongyu Zhang, Liang Lin:
Cross-Domain Action Recognition via Prototypical Graph Alignment. ICME 2022: 1-6 - [c199]Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin:
Discovering Implicit Classes Achieves Open Set Domain Adaptation. ICME 2022: 1-6 - [c198]Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li:
Double-Check Soft Teacher for Semi-Supervised Object Detection. IJCAI 2022: 1430-1436 - [c197]Tianxin Huang, Lingjun Zhao, Zeyang Dai, Liang Lin, Huakun Huang:
Privacy Preserving CSI Fingerprint Device-Free Localization. ML4CS (1) 2022: 27-39 - [c196]Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin:
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. NeurIPS 2022 - [c195]Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li:
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning. NeurIPS 2022 - [i211]Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li:
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning. CoRR abs/2202.13170 (2022) - [i210]Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR abs/2203.02172 (2022) - [i209]Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin:
Open Set Domain Adaptation By Novel Class Discovery. CoRR abs/2203.03329 (2022) - [i208]Tao Pu, Lixian Yuan, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin:
Semantic Representation and Dependency Learning for Multi-Label Image Recognition. CoRR abs/2204.03795 (2022) - [i207]Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin:
Causal Reasoning with Spatial-temporal Representation Learning: A Prospective Study. CoRR abs/2204.12037 (2022) - [i206]Haoyuan Lan, Yang Liu, Liang Lin:
Audio-Visual Contrastive Learning for Self-supervised Action Recognition. CoRR abs/2204.13386 (2022) - [i205]Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang:
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. CoRR abs/2205.03055 (2022) - [i204]Xiaoqian Xu, Pengxu Wei, Weikai Chen, Mingzhi Mao, Liang Lin, Guanbin Li:
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution. CoRR abs/2205.03524 (2022) - [i203]Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang:
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. CoRR abs/2205.08232 (2022) - [i202]Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin:
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels. CoRR abs/2205.11131 (2022) - [i201]Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR abs/2205.13092 (2022) - [i200]Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi:
Real-World Image Super-Resolution by Exclusionary Dual-Learning. CoRR abs/2206.02609 (2022) - [i199]Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. CoRR abs/2207.01450 (2022) - [i198]Ziyi Dong, Pengxu Wei, Liang Lin:
Adversarially-Aware Robust Object Detector. CoRR abs/2207.06202 (2022) - [i197]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR abs/2207.07858 (2022) - [i196]Yang Liu, Guanbin Li, Liang Lin:
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering. CoRR abs/2207.12647 (2022) - [i195]Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin:
Robust Real-World Image Super-Resolution against Adversarial Attacks. CoRR abs/2208.00428 (2022) - [i194]Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin:
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec. CoRR abs/2208.03680 (2022) - [i193]Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen:
OhMG: Zero-shot Open-vocabulary Human Motion Generation. CoRR abs/2210.15929 (2022) - [i192]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin:
Layer-wise Shared Attention Network on Dynamical System Perspective. CoRR abs/2210.16101 (2022) - [i191]Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li:
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning. CoRR abs/2211.06612 (2022) - [i190]Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin:
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. CoRR abs/2211.06701 (2022) - [i189]Tao Pu, Qianru Lao, Hefeng Wu, Tianshui Chen, Liang Lin:
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels. CoRR abs/2211.07846 (2022) - [i188]Ziyi Dong, Pengxu Wei, Liang Lin:
DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning. CoRR abs/2211.11337 (2022) - [i187]Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang:
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. CoRR abs/2212.02746 (2022) - 2021
- [j104]Guanbin Li, Pengxiang Yan, Yuan Xie, Guisheng Wang, Liang Lin, Yizhou Yu:
Instance-level salient object segmentation. Comput. Vis. Image Underst. 207: 103207 (2021) - [j103]Ziliang Chen, Pengxu Wei, Jingyu Zhuang, Guanbin Li, Liang Lin:
Deep CockTail Networks. Int. J. Comput. Vis. 129(8): 2328-2351 (2021) - [j102]Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 887-901 (2021) - [j101]Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu:
Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread. IEEE Trans. Cybern. 51(12): 6188-6199 (2021) - [j100]Yang Liu, Keze Wang, Guanbin Li, Liang Lin:
Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. IEEE Trans. Image Process. 30: 5573-5588 (2021) - [j99]Yiming Gao, Zhanghui Kuang, Guanbin Li, Wayne Zhang, Liang Lin:
Hierarchical Reasoning Network for Human-Object Interaction Detection. IEEE Trans. Image Process. 30: 8306-8317 (2021) - [j98]Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin:
Image Comes Dancing With Collaborative Parsing-Flow Video Synthesis. IEEE Trans. Image Process. 30: 9259-9269 (2021) - [j97]Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer. ACM Trans. Intell. Syst. Technol. 12(3): 32:1-32:16 (2021) - [j96]Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du, Liang Lin:
Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 22(11): 7169-7183 (2021) - [j95]Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin:
Fine-Grained Image Captioning With Global-Local Discriminative Objective. IEEE Trans. Multim. 23: 2413-2427 (2021) - [j94]Junpeng Tan, Yukai Shi, Zhijing Yang, Caizhen Wen, Liang Lin:
Unsupervised Multi-View Clustering by Squeezing Hybrid Knowledge From Cross View and Each View. IEEE Trans. Multim. 23: 2943-2956 (2021) - [j93]Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Zhengtao Yu, Liang Lin:
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2142-2156 (2021) - [j92]Changxin Huang, Ronghui Zhang, Meizi Ouyang, Pengxu Wei, Junfan Lin, Jiang Su, Liang Lin:
Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5379-5391 (2021) - [c194]Xipeng Chen, Pengxu Wei, Liang Lin:
Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras. AAAI 2021: 1089-1096 - [c193]Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. AAAI 2021: 13362-13370 - [c192]Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. AAAI 2021: 14112-14120 - [c191]Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin:
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. ACL/IJCNLP (Findings) 2021: 513-523 - [c190]Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. ACL/IJCNLP (1) 2021: 2718-2729 - [c189]Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. ACL/IJCNLP (1) 2021: 5870-5881 - [c188]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin:
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting. CVPR 2021: 4823-4833 - [c187]Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. EMNLP (Findings) 2021: 2765-2777 - [c186]Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin:
Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. ICCV 2021: 1594-1603 - [c185]Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li:
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. ICCV 2021: 8290-8299 - [c184]Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. ICCV 2021: 9485-9495 - [c183]Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin:
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. ICCV 2021: 12334-12344 - [c182]Yi-Bin Cheng, Xipeng Chen, Junhong Chen, Pengxu Wei, Dongyu Zhang, Liang Lin:
Hierarchical Transformer: Unsupervised Representation Learning for Skeleton-Based Human Action Recognition. ICME 2021: 1-6 - [c181]Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin:
Unifying Dynamic Optimizer Search and Network Architecture Search. ICME 2021: 1-6 - [c180]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. ICRA 2021: 9490-9497 - [c179]Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin:
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. ICRA 2021: 11154-11161 - [c178]Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin:
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video. IJCAI 2021: 1172-1178 - [c177]Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin:
Robust Real-World Image Super-Resolution against Adversarial Attacks. ACM Multimedia 2021: 5148-5157 - [c176]Yang Wu, Shirui Feng, Guanbin Li, Liang Lin:
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation. MMAsia 2021: 40:1-40:5 - [c175]Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo:
Rethinking the Pruning Criteria for Convolutional Neural Network. NeurIPS 2021: 16305-16318 - [p1]Qingxing Cao, Wentao Wan, Xiaodan Liang, Liang Lin:
Graph Reasoning Networks and Applications. Neuro-Symbolic Artificial Intelligence 2021: 103-125 - [i186]Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin:
Temporal Contrastive Graph for Self-supervised Video Representation Learning. CoRR abs/2101.00820 (2021) - [i185]Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin:
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition. CoRR abs/2101.03287 (2021) - [i184]Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. CoRR abs/2101.10620 (2021) - [i183]Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer. CoRR abs/2102.00769 (2021) - [i182]Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo:
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation. CoRR abs/2103.05463 (2021) - [i181]Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang:
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. CoRR abs/2103.16889 (2021) - [i180]Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. CoRR abs/2104.08760 (2021) - [i179]Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin:
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. CoRR abs/2105.14517 (2021) - [i178]Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. CoRR abs/2106.00507 (2021) - [i177]Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. CoRR abs/2106.09645 (2021) - [i176]Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin:
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation. CoRR abs/2107.00946 (2021) - [i175]Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. CoRR abs/2107.01431 (2021) - [i174]Changxin Huang, Jiang Su, Zhihong Zhang, Dong Zhao, Liang Lin:
Hybrid and dynamic policy gradient optimization for bipedal robot locomotion. CoRR abs/2107.01908 (2021) - [i173]Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin:
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. CoRR abs/2107.11252 (2021) - [i172]Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin:
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video. CoRR abs/2108.03825 (2021) - [i171]Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li:
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. CoRR abs/2108.05617 (2021) - [i170]Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin:
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. CoRR abs/2108.09671 (2021) - [i169]Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. CoRR abs/2109.09161 (2021) - [i168]Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Liang Lin:
Road Network Guided Fine-Grained Urban Traffic Flow Inference. CoRR abs/2109.14251 (2021) - [i167]Yang Wu, Shirui Feng, Guanbin Li, Liang Lin:
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation. CoRR abs/2110.08571 (2021) - [i166]Junying Huang, Fan Chen, Liang Lin, Dongyu Zhang:
Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference. CoRR abs/2110.13377 (2021) - [i165]Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin:
Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis. CoRR abs/2110.14147 (2021) - [i164]Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang:
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy. CoRR abs/2111.04331 (2021) - [i163]Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin:
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction. CoRR abs/2111.15119 (2021) - [i162]Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin:
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning. CoRR abs/2112.03587 (2021) - [i161]Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. CoRR abs/2112.10941 (2021) - 2020
- [b1]Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo:
Human Centric Visual Analysis with Deep Learning. Springer 2020, ISBN 978-981-13-2386-7, pp. 3-156 - [j91]Lili Huang, Guanbin Li, Ya Li, Liang Lin:
Lightweight adversarial network for salient object detection. Neurocomputing 381: 130-140 (2020) - [j90]Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu, Tianshui Chen, Pei Chen, Liang Lin:
Crowd counting via scale-communicative aggregation networks. Neurocomputing 409: 420-430 (2020) - [j89]Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1069-1082 (2020) - [j88]Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2809-2824 (2020) - [j87]Chengbin Chen, YaoYuan Tian, Liang Lin, SiFan Chen, Hanwen Li, YuXin Wang, Kaixiong Su:
Obtaining World Coordinate Information of UAV in GNSS Denied Environments. Sensors 20(8): 2241 (2020) - [j86]Yukai Shi, Haoyu Zhong, Zhijing Yang, Xiaojun Yang, Liang Lin:
DDet: Dual-Path Dynamic Enhancement Network for Real-World Image Super-Resolution. IEEE Signal Process. Lett. 27: 481-485 (2020) - [j85]Yuefang Gao, Zexi Hu, Henry Wing Fung Yeung, Yuk Ying Chung, Xuhong Tian, Liang Lin:
Unifying Temporal Context and Multi-Feature With Update-Pacing Framework for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1078-1091 (2020) - [j84]Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu:
Online Alternate Generator Against Adversarial Attacks. IEEE Trans. Image Process. 29: 9305-9315 (2020) - [j83]Xiaobai Liu, Qian Xu, Grayson Adkins, Eric Medwedeff, Liang Lin, Shuicheng Yan:
Learning Semisupervised Multilabel Fully Convolutional Network for Hierarchical Object Parsing. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2500-2509 (2020) - [c174]Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
Knowledge Graph Transfer Network for Few-Shot Recognition. AAAI 2020: 10575-10582 - [c173]Jie Wu, Guanbin Li, Si Liu, Liang Lin:
Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video. AAAI 2020: 12386-12393 - [c172]Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin:
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. AAAI 2020: 12613-12620 - [c171]Qilie Liu, Liang Lin, Yun Li, Yongxiang Liu:
Performance Analysis of Blockchain-Based Internet of Vehicles Under the DSRC Architecture. ChinaCom 2020: 112-126 - [c170]Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin:
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. CVPR 2020: 339-348 - [c169]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR 2020: 1986-1995 - [c168]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CVPR Workshops 2020: 2045-2057 - [c167]Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. CVPR 2020: 9077-9086 - [c166]Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin:
Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection. ECCV (18) 2020: 86-102 - [c165]Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin:
Component Divide-and-Conquer for Real-World Image Super-Resolution. ECCV (8) 2020: 101-117 - [c164]Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 392-422 - [c163]Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin:
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. EMNLP (1) 2020: 3780-3789 - [c162]Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang:
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. EMNLP (1) 2020: 9230-9240 - [c161]Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin:
Grammatically Recognizing Images with Tree Convolution. KDD 2020: 903-912 - [c160]Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin:
Active Object Search. ACM Multimedia 2020: 973-981 - [c159]Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin:
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. ACM Multimedia 2020: 1255-1264 - [c158]Jie Wu, Guanbin Li, Xiaoguang Han, Liang Lin:
Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos. ACM Multimedia 2020: 1283-1291 - [c157]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin:
Efficient Crowd Counting via Structured Knowledge Transfer. ACM Multimedia 2020: 2645-2654 - [c156]Yi-Bin Cheng, Xipeng Chen, Dongyu Zhang, Liang Lin:
Motion-transformer: self-supervised pre-training for skeleton-based action recognition. MMAsia 2020: 36:1-36:6 - [c155]Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin:
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation. NeurIPS 2020 - [i160]Jingwen Chen, Lingbo Liu, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin:
Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction. CoRR abs/2001.04889 (2020) - [i159]Jie Wu, Guanbin Li, Si Liu, Liang Lin:
Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video. CoRR abs/2001.06680 (2020) - [i158]Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu:
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread. CoRR abs/2001.08057 (2020) - [i157]Yukai Shi, Haoyu Zhong, Zhijing Yang, Xiaojun Yang, Liang Lin:
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution. CoRR abs/2002.11079 (2020) - [i156]Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin:
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. CoRR abs/2003.06534 (2020) - [i155]Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin:
Linguistically Driven Graph Capsule Network for Visual Question Reasoning. CoRR abs/2003.10065 (2020) - [i154]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin:
Efficient Crowd Counting via Structured Knowledge Transfer. CoRR abs/2003.10120 (2020) - [i153]Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin:
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. CoRR abs/2004.04199 (2020) - [i152]Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. CoRR abs/2004.06272 (2020) - [i151]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CoRR abs/2005.01056 (2020) - [i150]Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin:
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. CoRR abs/2007.02491 (2020) - [i149]Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin:
Fine-Grained Image Captioning with Global-Local Discriminative Objective. CoRR abs/2007.10662 (2020) - [i148]Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin:
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. CoRR abs/2008.00859 (2020) - [i147]Tianshui Chen, Tao Pu, Yuan Xie, Hefeng Wu, Lingbo Liu, Liang Lin:
Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark. CoRR abs/2008.00923 (2020) - [i146]Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin:
Component Divide-and-Conquer for Real-World Image Super-Resolution. CoRR abs/2008.01928 (2020) - [i145]Junpeng Tan, Yukai Shi, Zhijing Yang, Caizhen Wen, Liang Lin:
Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View. CoRR abs/2008.09990 (2020) - [i144]Yang Liu, Guanbin Li, Liang Lin:
Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. CoRR abs/2009.00210 (2020) - [i143]Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu:
Online Alternate Generator against Adversarial Attacks. CoRR abs/2009.08110 (2020) - [i142]Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin:
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection. CoRR abs/2009.08119 (2020) - [i141]Jie Wu, Guanbin Li, Xiaoguang Han, Liang Lin:
Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos. CoRR abs/2009.08614 (2020) - [i140]Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu:
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. CoRR abs/2009.09450 (2020) - [i139]Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR abs/2009.12072 (2020) - [i138]Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang:
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. CoRR abs/2010.03994 (2020) - [i137]Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin:
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. CoRR abs/2010.06823 (2020) - [i136]Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin:
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning. CoRR abs/2010.07849 (2020) - [i135]Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin:
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation. CoRR abs/2010.16119 (2020) - [i134]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. CoRR abs/2011.14487 (2020) - [i133]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin:
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting. CoRR abs/2012.04529 (2020) - [i132]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. CoRR abs/2012.07192 (2020) - [i131]Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. CoRR abs/2012.11896 (2020) - [i130]Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. CoRR abs/2012.11988 (2020) - [i129]Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. CoRR abs/2012.13185 (2020) - [i128]Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin:
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. CoRR abs/2012.14587 (2020)
2010 – 2019
- 2019
- [j82]Yukai Shi, Jinghui Qin, Pengxu Wei, Wanli Ouyang, Liang Lin:
Perceptual Image Enhancement by Relativistic Discriminant Learning With Cross-Scale Aggregated Representation. IEEE Access 7: 39660-39669 (2019) - [j81]Lili Huang, Pengxiang Yan, Guanbin Li, Qing Wang, Liang Lin:
Attention Embedded Spatio-Temporal Network for Video Salient Object Detection. IEEE Access 7: 166203-166213 (2019) - [j80]Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo:
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 596-610 (2019) - [j79]Xiaodan Liang, Ke Gong, Xiaohui Shen, Liang Lin:
Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 871-885 (2019) - [j78]Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang:
Learning Support Correlation Filters for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1158-1172 (2019) - [j77]Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang:
Visual Tracking via Dynamic Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2770-2782 (2019) - [j76]Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin:
Progressively diffused networks for semantic visual parsing. Pattern Recognit. 90: 78-86 (2019) - [j75]Chaoqun Zhan, Maomeng Su, Chuangxian Wei, Xiaoqiang Peng, Liang Lin, Sheng Wang, Zhe Chen, Feifei Li, Yue Pan, Fang Zheng, Chengliang Chai:
AnalyticDB: Real-time OLAP Database System at Alibaba Cloud. Proc. VLDB Endow. 12(12): 2059-2070 (2019) - [j74]Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu:
Context-Aware Semantic Inpainting. IEEE Trans. Cybern. 49(12): 4398-4411 (2019) - [j73]Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, Liang Lin:
Cross-Modal Attentional Context Learning for RGB-D Object Detection. IEEE Trans. Image Process. 28(4): 1591-1601 (2019) - [j72]Ruimao Zhang, Jingyu Li, Hongbin Sun, Yuying Ge, Ping Luo, Xiaogang Wang, Liang Lin:
SCAN: Self-and-Collaborative Attention Network for Video Person Re-Identification. IEEE Trans. Image Process. 28(10): 4870-4882 (2019) - [j71]Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin:
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction. IEEE Trans. Intell. Transp. Syst. 20(10): 3875-3887 (2019) - [j70]Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin:
Neural Task Planning With AND-OR Graph Representations. IEEE Trans. Multim. 21(4): 1022-1034 (2019) - [j69]Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin:
Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning. IEEE Trans. Multim. 21(9): 2248-2262 (2019) - [j68]Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang:
Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria. IEEE Trans. Neural Networks Learn. Syst. 30(3): 834-850 (2019) - [c154]Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin:
FRAME Revisited: An Interpretation View Based on Particle Evolution. AAAI 2019: 3256-3263 - [c153]Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. AAAI 2019: 7346-7353 - [c152]Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin:
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition. AAAI 2019: 8594-8601 - [c151]Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin:
CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. CIKM 2019: 1141-1149 - [c150]Jinshan Pan, Jiangxin Dong, Jimmy S. J. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Spatially Variant Linear Representation Models for Joint Filtering. CVPR 2019: 1702-1711 - [c149]Guangrun Wang, Keze Wang, Liang Lin:
Adaptively Connected Neural Networks. CVPR 2019: 1781-1790 - [c148]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c147]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c146]Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin:
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. CVPR 2019: 2248-2257 - [c145]Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. CVPR 2019: 2937-2945 - [c144]Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin:
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis. CVPR 2019: 4994-5002 - [c143]Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. CVPR 2019: 6163-6171 - [c142]Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li:
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. CVPR 2019: 6419-6428 - [c141]Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin:
Graphonomy: Universal Human Parsing via Graph Transfer Learning. CVPR 2019: 7450-7459 - [c140]Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin:
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. CVPR 2019: 10895-10904 - [c139]Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin:
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. ICCV 2019: 522-531 - [c138]Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin:
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation. ICCV 2019: 1426-1435 - [c137]Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin:
Crowd Counting With Deep Structured Scale Integration Network. ICCV 2019: 1774-1783 - [c136]Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. ICCV 2019: 3066-3075 - [c135]Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin:
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. ICCV 2019: 7283-7292 - [c134]Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin:
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. ICCV 2019: 9576-9585 - [c133]Junyi Zhang, Ziliang Chen, Junying Huang, Liang Lin, Dongyu Zhang:
Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing. ICCV Workshops 2019: 9-17 - [c132]Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin:
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. ICLR (Poster) 2019 - [c131]Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin:
SNAS: stochastic neural architecture search. ICLR (Poster) 2019 - [c130]Zhilin Qiu, Lingbo Liu, Guanbin Li, Qing Wang, Nong Xiao, Liang Lin:
Taxi Origin-Destination Demand Prediction with Contextualized Spatial-Temporal Network. ICME 2019: 760-765 - [c129]Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Qing Wang, Liang Lin:
Concrete Image Captioning by Integrating Content Sensitive and Global Discriminative Objective. ICME 2019: 1306-1311 - [c128]Zhilin Qiu, Lingbo Liu, Guanbin Li, Qing Wang, Nong Xiao, Liang Lin:
Crowd Counting via Multi-view Scale Aggregation Networks. ICME 2019: 1498-1503 - [c127]Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin:
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. ICML 2019: 1112-1121 - [c126]Lili Huang, Guanbin Li, Ya Li, Liang Lin:
Lightweight Contrast Modeling for Attention-Aware Visual Localization. ICRA 2019: 2104-2110 - [c125]Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang:
Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs. MICCAI (6) 2019: 594-602 - [i127]Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-supervised Learning. CoRR abs/1901.03798 (2019) - [i126]Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. CoRR abs/1901.10623 (2019) - [i125]Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. CoRR abs/1903.03326 (2019) - [i124]Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Xiaogang Wang, Liang Lin:
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. CoRR abs/1903.08839 (2019) - [i123]Guangrun Wang, Keze Wang, Liang Lin:
Adaptively Connected Neural Networks. CoRR abs/1904.03579 (2019) - [i122]Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin:
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark. CoRR abs/1904.03845 (2019) - [i121]Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin:
Graphonomy: Universal Human Parsing via Graph Transfer Learning. CoRR abs/1904.04536 (2019) - [i120]Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin:
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition. CoRR abs/1904.09939 (2019) - [i119]Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. CoRR abs/1905.01509 (2019) - [i118]Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin:
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction. CoRR abs/1905.06335 (2019) - [i117]Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin:
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks. CoRR abs/1907.03389 (2019) - [i116]Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin:
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. CoRR abs/1907.03426 (2019) - [i115]Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin:
Learning Compact Target-Oriented Feature Representations for Visual Tracking. CoRR abs/1908.01442 (2019) - [i114]Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin:
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. CoRR abs/1908.04051 (2019) - [i113]Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin:
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. CoRR abs/1908.07325 (2019) - [i112]Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin:
Crowd Counting with Deep Structured Scale Integration Network. CoRR abs/1908.08692 (2019) - [i111]Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. CoRR abs/1908.11754 (2019) - [i110]Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Liang Lin:
ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction. CoRR abs/1909.02902 (2019) - [i109]Qingxing Cao, Bailin Li, Xiaodan Liang, Liang Lin:
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network. CoRR abs/1909.10128 (2019) - [i108]Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin:
Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning. CoRR abs/1909.13032 (2019) - [i107]Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. CoRR abs/1910.01923 (2019) - [i106]Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
Knowledge Graph Transfer Network for Few-Shot Recognition. CoRR abs/1911.09579 (2019) - [i105]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR abs/1911.13053 (2019) - [i104]Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin:
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. CoRR abs/1912.08954 (2019) - 2018
- [j67]Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin:
Learning deep representations for semantic image parsing: a comprehensive overview. Frontiers Comput. Sci. 12(5): 840-857 (2018) - [j66]Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang:
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 7-19 (2018) - [j65]Xiaodan Liang, Liang Lin, Yunchao Wei, Xiaohui Shen, Jianchao Yang, Shuicheng Yan:
Proposal-Free Network for Instance-Level Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2978-2991 (2018) - [j64]Wangmeng Zuo, Liang Lin, Alan L. Yuille, Horst Bischof, Lei Zhang, Fatih Porikli:
Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2441-2448 (2018) - [j63]Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin:
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2667-2678 (2018) - [j62]Tianshui Chen, Liang Lin, Xian Wu, Nong Xiao, Xiaonan Luo:
Learning to Segment Object Candidates via Recursive Neural Networks. IEEE Trans. Image Process. 27(12): 5827-5839 (2018) - [j61]Xiaobai Liu, Qian Xu, Yadong Mu, Jiadi Yang, Liang Lin, Shuicheng Yan:
High-Precision Camera Localization in Scenes with Repetitive Patterns. ACM Trans. Intell. Syst. Technol. 9(6): 66:1-66:21 (2018) - [j60]Xiaohe Wu, Wangmeng Zuo, Liang Lin, Wei Jia, David Zhang:
F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5185-5199 (2018) - [c124]Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang:
Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks. AAAI 2018: 6722-6729 - [c123]Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin:
Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition. AAAI 2018: 6730-6737 - [c122]Guanbin Li, Yuan Xie, Liang Lin:
Weakly Supervised Salient Object Detection Using Image Labels. AAAI 2018: 7024-7031 - [c121]Lingbo Liu, Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu:
Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning. BigMM 2018: 1-8 - [c120]Yue Luo, Jimmy S. J. Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin:
Single View Stereo Matching. CVPR 2018: 155-163 - [c119]Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin:
Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks. CVPR Workshops 2018: 701-710 - [c118]Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo:
Multi-Level Wavelet-CNN for Image Restoration. CVPR Workshops 2018: 773-782 - [c117]Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin:
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection. CVPR 2018: 1605-1613 - [c116]Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. J. Ren, Ruichao Xiao, Jin Zeng, Liang Lin:
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains. CVPR 2018: 2070-2079 - [c115]Ke Yu, Chao Dong, Liang Lin, Chen Change Loy:
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. CVPR 2018: 2443-2452 - [c114]Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin:
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. CVPR 2018: 3243-3252 - [c113]Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin:
Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. CVPR 2018: 3964-3973 - [c112]Yue Luo, Jimmy S. J. Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin:
LSTM Pose Machines. CVPR 2018: 5207-5215 - [c111]Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji, Liang Lin:
Interpretable Video Captioning via Trajectory Structured Localization. CVPR 2018: 6829-6837 - [c110]Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin:
Visual Question Reasoning on General Dependency Tree. CVPR 2018: 7249-7257 - [c109]Yukang Gan, Xiangyu Xu, Wenxiu Sun, Liang Lin:
Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement. ECCV (3) 2018: 232-247 - [c108]Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, Ruigang Yang:
Learning Warped Guidance for Blind Face Restoration. ECCV (13) 2018: 278-296 - [c107]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333 - [c106]Xiaodan Liang, Hao Zhang, Liang Lin, Eric P. Xing:
Generative Semantic Manipulation with Mask-Contrasting GAN. ECCV (13) 2018: 574-590 - [c105]Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang:
Toward Characteristic-Preserving Image-Based Virtual Try-On Network. ECCV (13) 2018: 607-623 - [c104]Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin:
Instance-Level Human Parsing via Part Grouping Network. ECCV (4) 2018: 805-822 - [c103]Hui Cheng, Yongheng Hu, Chongyu Chen, Liang Lin:
Robust Object-Aware Sample Consensus with Application to Lidar Odometry. ICASSP 2018: 4499-4503 - [c102]Hui Cheng, Junhao Cai, Quande Liu, Zhanpeng Zhang, Kai Yang, Chen Change Loy, Liang Lin:
Fusing Object Context to Detect Functional Area for Cognitive Robots. ICRA 2018: 1-8 - [c101]Zhongchang Liu, Zeyu Jiang, Tianye Xu, Hui Cheng, Zhipeng Xie, Liang Lin:
Avoidance of High-Speed Obstacles Based on Velocity Obstacles. ICRA 2018: 7624-7630 - [c100]Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo:
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. IJCAI 2018: 627-634 - [c99]Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin:
Crowd Counting using Deep Recurrent Spatial-Aware Network. IJCAI 2018: 849-855 - [c98]Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma:
DRPose3D: Depth Ranking in 3D Human Pose Estimation. IJCAI 2018: 978-984 - [c97]Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin:
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. IJCAI 2018: 1021-1028 - [c96]Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun:
Convolutional Memory Blocks for Depth Data Representation Learning. IJCAI 2018: 2790-2797 - [c95]Hui Cheng, Zhuoqi Zheng, Jinhao He, Chongyu Chen, Keze Wang, Liang Lin:
Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry. IROS 2018: 693-698 - [c94]Tingting Li, Ruihe Qian, Chao Dong, Si Liu, Qiong Yan, Wenwu Zhu, Liang Lin:
BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network. ACM Multimedia 2018: 645-653 - [c93]Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin:
Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining. ACM Multimedia 2018: 1056-1064 - [c92]Qixian Zhou, Xiaodan Liang, Ke Gong, Liang Lin:
Adaptive Temporal Encoding Network for Video Instance-level Human Parsing. ACM Multimedia 2018: 1527-1535 - [c91]Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin:
Attentive Crowd Flow Machines. ACM Multimedia 2018: 1553-1561 - [c90]Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin:
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding. ACM Multimedia 2018: 2023-2031 - [c89]Yunchao Wei, Xiaodan Liang, Si Liu, Liang Lin:
Structured Deep Learning for Pixel-level Understanding. ACM Multimedia 2018: 2090-2092 - [c88]Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin:
Kalman Normalization: Normalizing Internal Representations Across Network Layers. NeurIPS 2018: 21-31 - [c87]Chenhan Jiang, Hang Xu, Xiaodan Liang, Liang Lin:
Hybrid Knowledge Routed Modules for Large-scale Object Detection. NeurIPS 2018: 1559-1570 - [c86]Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing:
Symbolic Graph Reasoning Meets Convolutions. NeurIPS 2018: 1858-1868 - [i103]Hanhui Li, Xiangjian He, Hefeng Wu, Saeed Amirgholipour Kasmani, Ruomei Wang, Xiaonan Luo, Liang Lin:
Structured Inhomogeneous Density Map Learning for Crowd Counting. CoRR abs/1801.06642 (2018) - [i102]Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin:
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. CoRR abs/1802.03133 (2018) - [i101]Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin:
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift. CoRR abs/1803.00830 (2018) - [i100]Yue Luo, Jimmy S. J. Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin:
Single View Stereo Matching. CoRR abs/1803.02612 (2018) - [i99]Guanbin Li, Yuan Xie, Liang Lin:
Weakly Supervised Salient Object Detection Using Image Labels. CoRR abs/1803.06503 (2018) - [i98]Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. J. Ren, Ruichao Xiao, Jin Zeng, Liang Lin:
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains. CoRR abs/1803.06641 (2018) - [i97]Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin:
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection. CoRR abs/1803.09867 (2018) - [i96]Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin:
Visual Question Reasoning on General Dependency Tree. CoRR abs/1804.00105 (2018) - [i95]Xiaodan Liang, Ke Gong, Xiaohui Shen, Liang Lin:
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark. CoRR abs/1804.01984 (2018) - [i94]Ke Yu, Chao Dong, Liang Lin, Chen Change Loy:
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. CoRR abs/1804.03312 (2018) - [i93]Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, Ruigang Yang:
Learning Warped Guidance for Blind Face Restoration. CoRR abs/1804.04829 (2018) - [i92]Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo:
Multi-level Wavelet-CNN for Image Restoration. CoRR abs/1805.07071 (2018) - [i91]Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma:
DRPose3D: Depth Ranking in 3D Human Pose Estimation. CoRR abs/1805.08973 (2018) - [i90]Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang:
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria. CoRR abs/1807.00147 (2018) - [i89]Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin:
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. CoRR abs/1807.00504 (2018) - [i88]Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo:
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. CoRR abs/1807.00505 (2018) - [i87]Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin:
Crowd Counting using Deep Recurrent Spatial-Aware Network. CoRR abs/1807.00601 (2018) - [i86]Ruimao Zhang, Hongbin Sun, Jingyu Li, Yuying Ge, Liang Lin, Ping Luo, Xiaogang Wang:
SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification. CoRR abs/1807.05688 (2018) - [i85]Bochao Wang, Huabin Zhang, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang:
Toward Characteristic-Preserving Image-based Virtual Try-On Network. CoRR abs/1807.07688 (2018) - [i84]Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin:
Instance-level Human Parsing via Part Grouping Network. CoRR abs/1808.00157 (2018) - [i83]Qixian Zhou, Xiaodan Liang, Ke Gong, Liang Lin:
Adaptive Temporal Encoding Network for Video Instance-level Human Parsing. CoRR abs/1808.00661 (2018) - [i82]Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin:
Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining. CoRR abs/1808.01491 (2018) - [i81]Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin:
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding. CoRR abs/1808.04505 (2018) - [i80]Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin:
Neural Task Planning with And-Or Graph Representations. CoRR abs/1808.09284 (2018) - [i79]Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin:
Attentive Crowd Flow Machines. CoRR abs/1809.00101 (2018) - [i78]Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin:
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks. CoRR abs/1809.00437 (2018) - [i77]Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. CoRR abs/1809.01810 (2018) - [i76]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018) - [i75]Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin:
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview. CoRR abs/1810.04377 (2018) - [i74]Chenhan Jiang, Hang Xu, Xiaodan Liang, Liang Lin:
Hybrid Knowledge Routed Modules for Large-scale Object Detection. CoRR abs/1810.12681 (2018) - [i73]Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, Liang Lin:
Cross-Modal Attentional Context Learning for RGB-D Object Detection. CoRR abs/1810.12829 (2018) - [i72]Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin:
Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach. CoRR abs/1811.07456 (2018) - [i71]Yabin Zhu, Chenglong Li, Yijuan Lu, Liang Lin, Bin Luo, Jin Tang:
FANet: Quality-Aware Feature Aggregation Network for RGB-T Tracking. CoRR abs/1811.09855 (2018) - [i70]Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin:
FRAME Revisited: An Interpretation View Based on Particle Evolution. CoRR abs/1812.01186 (2018) - [i69]Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin:
Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning. CoRR abs/1812.03887 (2018) - [i68]Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin:
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. CoRR abs/1812.09028 (2018) - [i67]Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin:
SNAS: Stochastic Neural Architecture Search. CoRR abs/1812.09926 (2018) - 2017
- [j59]Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin, Shuicheng Yan:
Human Parsing with Contextualized Convolutional Neural Network. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 115-127 (2017) - [j58]Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang:
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1089-1102 (2017) - [j57]Xiaodan Liang, Yunchao Wei, Liang Lin, Yunpeng Chen, Xiaohui Shen, Jianchao Yang, Shuicheng Yan:
Learning to Segment Human by Watching YouTube. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1462-1468 (2017) - [j56]Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, Liang Lin:
Weighted Low-Rank Decomposition for Robust Grayscale-Thermal Foreground Detection. IEEE Trans. Circuits Syst. Video Technol. 27(4): 725-738 (2017) - [j55]Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin:
Cost-Effective Active Learning for Deep Image Classification. IEEE Trans. Circuits Syst. Video Technol. 27(12): 2591-2600 (2017) - [j54]Dongyu Zhang, Liang Lin, Tianshui Chen, Xian Wu, Wenwei Tan, Ebroul Izquierdo:
Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning. IEEE Trans. Image Process. 26(1): 328-339 (2017) - [j53]Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, Lei Zhang:
Distance Metric Learning via Iterated Support Vector Machines. IEEE Trans. Image Process. 26(10): 4937-4950 (2017) - [j52]Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin:
Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning. IEEE Trans. Multim. 19(12): 2804-2815 (2017) - [j51]Jun Zhang, Meng Wang, Liang Lin, Xun Yang, Jun Gao, Yong Rui:
Saliency Detection on Light Field: A Multi-Cue Approach. ACM Trans. Multim. Comput. Commun. Appl. 13(3): 32:1-32:22 (2017) - [c85]Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang:
Learning Patch-Based Dynamic Graph for Visual Tracking. AAAI 2017: 4126-4132 - [c84]Ya Li, Lingbo Liu, Liang Lin, Qing Wang:
Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance. CCCV (2) 2017: 62-73 - [c83]Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu:
Instance-Level Salient Object Segmentation. CVPR 2017: 247-256 - [c82]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c81]Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li:
Attention-Aware Face Hallucination via Deep Reinforcement Learning. CVPR 2017: 1656-1664 - [c80]Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing:
Interpretable Structure-Evolving LSTM. CVPR 2017: 2175-2184 - [c79]Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang:
Joint Detection and Identification Feature Learning for Person Search. CVPR 2017: 3376-3385 - [c78]Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang:
Learning Object Interactions and Descriptions for Semantic Image Segmentation. CVPR 2017: 5235-5243 - [c77]Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng:
Recurrent 3D Pose Sequence Machines. CVPR 2017: 5543-5552 - [c76]Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin:
Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing. CVPR 2017: 6757-6765 - [c75]Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin:
Multi-label Image Recognition by Recurrently Discovering Attentional Regions. ICCV 2017: 464-472 - [c74]Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang:
Deep Dual Learning for Semantic Image Segmentation. ICCV 2017: 2737-2745 - [c73]Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng:
Knowledge-guided recurrent neural network learning for task-oriented action prediction. ICME 2017: 625-630 - [c72]Hui Cheng, Qiyuan Zhu, Zhongchang Liu, Tianye Xu, Liang Lin:
Decentralized navigation of multiple agents based on ORCA and model predictive control. IROS 2017: 3446-3451 - [c71]Xiaobai Liu, Qi Chen, Lei Zhu, Yuanlu Xu, Liang Lin:
Place-centric Visual Urban Perception with Deep Multi-instance Regression. ACM Multimedia 2017: 19-27 - [c70]Bo Yin, Liang Lin, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Hirantha Abeysekera:
Inversely Proportional Carrier Sense Threshold and Transmit Power Setting Towards Green WLANs. VTC Fall 2017: 1-5 - [i66]Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin:
Cost-Effective Active Learning for Deep Image Classification. CoRR abs/1701.03551 (2017) - [i65]Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang:
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. CoRR abs/1701.03555 (2017) - [i64]Ruimao Zhang, Wei Yang, Zhanglin Peng, Xiaogang Wang, Liang Lin:
Progressively Diffused Networks for Semantic Image Segmentation. CoRR abs/1702.05839 (2017) - [i63]Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing:
Interpretable Structure-Evolving LSTM. CoRR abs/1703.03055 (2017) - [i62]Ke Gong, Xiaodan Liang, Xiaohui Shen, Liang Lin:
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing. CoRR abs/1703.05446 (2017) - [i61]Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu:
Instance-Level Salient Object Segmentation. CoRR abs/1704.03604 (2017) - [i60]Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng:
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction. CoRR abs/1707.04677 (2017) - [i59]Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin:
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning. CoRR abs/1707.08340 (2017) - [i58]Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin:
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. CoRR abs/1707.09119 (2017) - [i57]