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ORCIDDeng Cai 0001
Person information
- affiliation: Zhejiang University, College of Computer Science, State Key Laboratory of CAD&CG, Hangzhou, China
- affiliation (PhD 2009): University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
Other persons with the same name
- Deng Cai 0002
![[0000-0003-3444-8383]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3444-8383")
— Tencent AI Lab, China (and 1 more)
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2020 – today
- 2024
[c158]Yangyi Huang, Hongwei Yi, Yuliang Xiu, Tingting Liao, Jiaxiang Tang, Deng Cai, Justus Thies:
TeCH: Text-Guided Reconstruction of Lifelike Clothed Humans. 3DV 2024: 1531-1542- [c157]Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai:
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. AAAI 2024: 3513-3521 - [c156]Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang:
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. AAAI 2024: 6153-6161 - [c155]Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai:
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving. AAAI 2024: 6306-6314 - [c154]Ruisi Zhao, Mingming Li, Zheng Yang, Binbin Lin, Xiaohui Zhong, Xiaobo Ren, Deng Cai, Boxi Wu:
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing. AAAI 2024: 7505-7513 - [c153]Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai:
Learning Occupancy for Monocular 3D Object Detection. CVPR 2024: 10281-10292 - [c152]Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai:
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection. CVPR 2024: 15291-15300 - [c151]Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang:
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation. CVPR 2024: 15311-15320 - [c150]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. ICML 2024 - [c149]Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang:
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. IJCAI 2024: 2579-2587 - [i109]Hengjia Li, Yang Liu, Yuqi Lin, Zhanwei Zhang, Yibo Zhao, weihang Pan, Tu Zheng, Zheng Yang, Yuchun Jiang, Boxi Wu, Deng Cai:
UniHDA: Towards Universal Hybrid Domain Adaptation of Image Generators. CoRR abs/2401.12596 (2024) - [i108]Wenxiao Wang, Wei Chen, Yicong Luo, Yongliu Long, Zhengkai Lin, Liye Zhang, Binbin Lin, Deng Cai, Xiaofei He:
Model Compression and Efficient Inference for Large Language Models: A Survey. CoRR abs/2402.09748 (2024) - [i107]Chenxi Huang, Yuenan Hou, Weicai Ye, Di Huang, Xiaoshui Huang, Binbin Lin, Deng Cai, Wanli Ouyang:
NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection. CoRR abs/2402.14464 (2024) - [i106]Yang Yang, Wen Wang, Liang Peng, Chaotian Song, Yao Chen, Hengjia Li, Xiaolong Yang, Qinglin Lu, Deng Cai, Boxi Wu, Wei Liu:
LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models. CoRR abs/2403.11627 (2024) - [i105]Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang:
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. CoRR abs/2404.19330 (2024) - [i104]Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai:
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection. CoRR abs/2404.19384 (2024) - [i103]Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang:
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation. CoRR abs/2407.09751 (2024) - [i102]Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang:
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. CoRR abs/2407.09787 (2024) - [i101]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. CoRR abs/2409.01658 (2024) - [i100]Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye:
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? CoRR abs/2410.18808 (2024) - [i99]Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian:
FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models. CoRR abs/2411.05823 (2024) - [i98]Hengjia Li, Haonan Qiu, Shiwei Zhang, Xiang Wang, Yujie Wei, Zekun Li, Yingya Zhang, Boxi Wu, Deng Cai:
PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation. CoRR abs/2411.17048 (2024) - [i97]Hengjia Li, Yang Liu, Yibo Zhao, Haoran Cheng, Yang Yang, Linxuan Xia, Zekai Luo, Qibo Qiu, Boxi Wu, Tu Zheng, Zheng Yang, Deng Cai:
GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators. CoRR abs/2412.15491 (2024) - 2023
- [j103]Liang Xie, Yibo Yang, Deng Cai, Xiaofei He:
Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning. Neurocomputing 527: 60-70 (2023) - [j102]Chao Xiang, Zhongming Jin, Zhengxu Yu, Xian-Sheng Hua, Yao Hu, Wei Qian, Kaili Zhu, Deng Cai, Xiaofei He:
Optimizing traffic efficiency via a reinforcement learning approach based on time allocation. Int. J. Mach. Learn. Cybern. 14(10): 3381-3391 (2023) - [j101]Liang Xie, Guodong Xu, Deng Cai, Xiaofei He:
X-View: Non-Egocentric Multi-View 3D Object Detector. IEEE Trans. Image Process. 32: 1488-1497 (2023) - [j100]Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai:
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. IEEE Trans. Image Process. 32: 6570-6581 (2023) - [j99]Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling. IEEE Trans. Knowl. Data Eng. 35(4): 4346-4356 (2023) - [c148]Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu:
Towards In-Distribution Compatible Out-of-Distribution Detection. AAAI 2023: 10333-10341 - [c147]Junkai Xu, Liang Peng, Haoran Chen, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai:
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. ICCV 2023: 6791-6801 - [c146]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. ICCV 2023: 8940-8951 - [c145]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. MobiCom 2023: 70:1-70:15 - [i96]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Towards Unified Neural Network Inference by Table Lookup. CoRR abs/2302.03213 (2023) - [i95]Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He:
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment. CoRR abs/2302.09907 (2023) - [i94]Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai:
Neural Collapse Inspired Federated Learning with Non-iid Data. CoRR abs/2303.16066 (2023) - [i93]Hengjia Li, Tu Zheng, Zhihao Chi, Zheng Yang, Wenxiao Wang, Boxi Wu, Binbin Lin, Deng Cai:
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding. CoRR abs/2303.17815 (2023) - [i92]Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang:
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning. CoRR abs/2304.08756 (2023) - [i91]Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai:
Learning Occupancy for Monocular 3D Object Detection. CoRR abs/2305.15694 (2023) - [i90]Zhihao Chi, Tu Zheng, Hengjia Li, Zheng Yang, Boxi Wu, Binbin Lin, Deng Cai:
NormKD: Normalized Logits for Knowledge Distillation. CoRR abs/2308.00520 (2023) - [i89]Yangyi Huang, Hongwei Yi, Yuliang Xiu, Tingting Liao, Jiaxiang Tang, Deng Cai, Justus Thies:
TeCH: Text-guided Reconstruction of Lifelike Clothed Humans. CoRR abs/2308.08545 (2023) - [i88]Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai:
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. CoRR abs/2308.09421 (2023) - [i87]Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai:
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving. CoRR abs/2312.11837 (2023) - [i86]Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai:
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training. CoRR abs/2312.12828 (2023) - 2022
- [j98]Kuoliang Wu, Guodong Xu, Zili Liu, Haifeng Liu, Deng Cai, Xiaofei He:
PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud. Int. J. Mach. Learn. Cybern. 13(1): 39-47 (2022) - [j97]Cong Fu, Changxu Wang, Deng Cai:
High Dimensional Similarity Search With Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4139-4150 (2022) - [j96]Zhengxu Yu, Dong Shen, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua:
Progressive Transfer Learning. IEEE Trans. Image Process. 31: 1340-1348 (2022) - [j95]Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu:
Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training. IEEE Trans. Image Process. 31: 5869-5880 (2022) - [j94]Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng:
LookCom: Learning Optimal Network for Community Detection. IEEE Trans. Knowl. Data Eng. 34(2): 764-775 (2022) - [j93]Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua:
Apparel-Invariant Feature Learning for Person Re-Identification. IEEE Trans. Multim. 24: 4482-4492 (2022) - [c144]Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He:
DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. AAAI 2022: 1828-1836 - [c143]Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai:
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. AAAI 2022: 3535-3543 - [c142]Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He:
CLRNet: Cross Layer Refinement Network for Lane Detection. CVPR 2022: 888-897 - [c141]Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai:
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CVPR 2022: 5408-5417 - [c140]Minghao Chen, Fangyun Wei, Chong Li, Deng Cai:
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning. CVPR 2022: 13791-13800 - [c139]Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He:
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification. CVPR 2022: 14391-14400 - [c138]Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai:
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. ECCV (1) 2022: 71-88 - [c137]Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai:
Lidar Point Cloud Guided Monocular 3D Object Detection. ECCV (1) 2022: 123-139 - [c136]Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu:
Towards Efficient Adversarial Training on Vision Transformers. ECCV (13) 2022: 307-325 - [c135]Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai:
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph. ECCV (8) 2022: 662-679 - [c134]Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu:
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention. ICLR 2022 - [c133]Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai:
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection. ICLR 2022 - [c132]Senbo Yan, Liang Peng, Chuer Yu, Zheng Yang, Haifeng Liu, Deng Cai:
Domain Reconstruction and Resampling for Robust Salient Object Detection. ACM Multimedia 2022: 5417-5426 - [i85]Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai:
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection. CoRR abs/2203.08332 (2022) - [i84]Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai:
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CoRR abs/2203.09780 (2022) - [i83]Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He:
CLRNet: Cross Layer Refinement Network for Lane Detection. CoRR abs/2203.10350 (2022) - [i82]Minghao Chen, Fangyun Wei, Chong Li, Deng Cai:
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning. CoRR abs/2203.14957 (2022) - [i81]Liang Xie, Yibo Yang, Deng Cai, Xiaofei He:
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning. CoRR abs/2204.08735 (2022) - [i80]Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai:
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. CoRR abs/2207.08531 (2022) - [i79]Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu:
Towards Efficient Adversarial Training on Vision Transformers. CoRR abs/2207.10498 (2022) - [i78]Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai:
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph. CoRR abs/2208.03624 (2022) - [i77]Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu:
Towards In-distribution Compatibility in Out-of-distribution Detection. CoRR abs/2208.13433 (2022) - [i76]Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang:
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling. CoRR abs/2211.07084 (2022) - [i75]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. CoRR abs/2212.02469 (2022) - [i74]Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai:
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. CoRR abs/2212.10049 (2022) - 2021
- [j92]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang:
Learning to Caricature via Semantic Shape Transform. Int. J. Comput. Vis. 129(9): 2663-2679 (2021) - [j91]Liu Yang, Deng Cai:
AdaDB: An adaptive gradient method with data-dependent bound. Neurocomputing 419: 183-189 (2021) - [j90]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
TTFNeXt for real-time object detection. Neurocomputing 433: 59-70 (2021) - [j89]Boyuan Pan, Yazheng Yang, Bo Li, Deng Cai:
Self-supervised attention flow for dialogue state tracking. Neurocomputing 440: 279-286 (2021) - [j88]Wenxiao Wang, Zhengxu Yu, Cong Fu, Deng Cai, Xiaofei He:
COP: customized correlation-based Filter level pruning method for deep CNN compression. Neurocomputing 464: 533-545 (2021) - [j87]Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He:
ES-Net: Erasing Salient Parts to Learn More in Re-Identification. IEEE Trans. Image Process. 30: 1676-1686 (2021) - [j86]Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai:
Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification. IEEE Trans. Image Process. 30: 2898-2907 (2021) - [j85]Deng Cai:
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. 33(6): 2337-2348 (2021) - [c131]Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. AAAI 2021: 3547-3554 - [c130]Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM 2021: 4075-4084 - [c129]Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He:
Salient Object Ranking with Position-Preserved Attention. ICCV 2021: 16311-16321 - [c128]Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu:
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. ICML 2021: 10717-10726 - [c127]Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun:
TopNet: Learning from Neural Topic Model to Generate Long Stories. KDD 2021: 1997-2005 - [c126]Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai:
MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning. KDD 2021: 3649-3659 - [c125]Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu:
Do Wider Neural Networks Really Help Adversarial Robustness? NeurIPS 2021: 7054-7067 - [i73]Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai:
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification. CoRR abs/2101.12521 (2021) - [i72]Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He:
ES-Net: Erasing Salient Parts to Learn More in Re-Identification. CoRR abs/2103.05918 (2021) - [i71]Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He:
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. CoRR abs/2103.08160 (2021) - [i70]Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai:
SparsePoint: Fully End-to-End Sparse 3D Object Detector. CoRR abs/2103.10042 (2021) - [i69]Liang Xie, Guodong Xu, Deng Cai, Xiaofei He:
X-view: Non-egocentric Multi-View 3D Object Detector. CoRR abs/2103.13001 (2021) - [i68]Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai:
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. CoRR abs/2104.00462 (2021) - [i67]Liang Peng, Fei Liu, Senbo Yan, Xiaofei He, Deng Cai:
OCM3D: Object-Centric Monocular 3D Object Detection. CoRR abs/2104.06041 (2021) - [i66]Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Deng Cai:
Lidar Point Cloud Guided Monocular 3D Object Detection. CoRR abs/2104.09035 (2021) - [i65]Xin Guo, Zhongming Jin, Chong Chen, Helei Nie, Jianqiang Huang, Deng Cai, Xiaofei He, Xiansheng Hua:
Discriminative-Generative Dual Memory Video Anomaly Detection. CoRR abs/2104.14430 (2021) - [i64]Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu:
Attacking Adversarial Attacks as A Defense. CoRR abs/2106.04938 (2021) - [i63]Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He:
Salient Object Ranking with Position-Preserved Attention. CoRR abs/2106.05047 (2021) - [i62]Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai:
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification. CoRR abs/2106.05517 (2021) - [i61]Wenxiao Wang, Lu Yao, Long Chen, Deng Cai, Xiaofei He, Wei Liu:
CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention. CoRR abs/2108.00154 (2021) - [i60]Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun:
TopNet: Learning from Neural Topic Model to Generate Long Stories. CoRR abs/2112.07259 (2021) - 2020
- [j84]Long Wei, Zhenyong Wei, Zhongming Jin, Qianxiao Wei, Jianqiang Huang, Xian-Sheng Hua, Deng Cai, Xiaofei He:
Decouple co-adaptation: Classifier randomization for person re-identification. Neurocomputing 383: 1-9 (2020) - [j83]Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai:
Bi-Decoder Augmented Network for Neural Machine Translation. Neurocomputing 387: 188-194 (2020) - [j82]Mao Gu, Zhou Zhao, Weike Jin, Deng Cai, Fei Wu:
Video Dialog via Multi-Grained Convolutional Self-Attention Context Multi-Modal Networks. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4453-4466 (2020) - [j81]Zhijie Lin, Zhou Zhao, Zhu Zhang, Zijian Zhang, Deng Cai:
Moment Retrieval via Cross-Modal Interaction Networks With Query Reconstruction. IEEE Trans. Image Process. 29: 3750-3762 (2020) - [j80]Long Wei, Zhenyong Wei, Zhongming Jin, Zhengxu Yu, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
SIF: Self-Inspirited Feature Learning for Person Re-Identification. IEEE Trans. Image Process. 29: 4942-4951 (2020) - [j79]