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ORCIDLimin Wang 0002
王利民
Person information
- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, China
- affiliation (former): ETH Zurich, Computer Vision Laboratory, Switzerland
- affiliation (former): Chinese University of Hong Kong, Department of Information Engineeing, China
- affiliation (former): Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- unicode name: 王利民
Other persons with the same name
- Limin Wang — disambiguation page
- Limin Wang 0001 — London School of Economics, UK
- Limin Wang 0003
![[0000-0002-0472-3383]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0472-3383")
— Hainan Normal University, School of Mathematics and Statistics, Haikou, China - Limin Wang 0004 — Chongqing Jiaotong University, School of Economic and Management, China
- Limin Wang 0005 — Ministry of Agriculture, Key Laboratory of Agri-informatics, Beijing, China (and 1 more)
- Limin Wang 0006 — Chinese Academy of Sciences, State Key Laboratory of Multiphase Complex Systems, Beijing, China
- Limin Wang 0007 — Jilin University, Changchun, China
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2020 – today
- 2023
[j18]Ziteng Gao, Limin Wang, Gangshan Wu:
LIP: Local Importance-Based Pooling. Int. J. Comput. Vis. 131(1): 363-384 (2023)- [i82]Yutao Cui, Cheng Jiang, Gangshan Wu, Limin Wang:
MixFormer: End-to-End Tracking with Iterative Mixed Attention. CoRR abs/2302.02814 (2023) - [i81]Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang:
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. CoRR abs/2302.06148 (2023) - [i80]Hanlin Wang, Yilu Wu, Sheng Guo, Limin Wang:
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos. CoRR abs/2303.14676 (2023) - [i79]Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, Limin Wang:
CycleACR: Cycle Modeling of Actor-Context Relations for Video Action Detection. CoRR abs/2303.16118 (2023) - [i78]Limin Wang, Bingkun Huang, Zhiyu Zhao, Zhan Tong, Yinan He, Yi Wang, Yali Wang, Yu Qiao:
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking. CoRR abs/2303.16727 (2023) - [i77]Ziteng Gao, Zhan Tong, Limin Wang, Mike Zheng Shou:
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens. CoRR abs/2304.03768 (2023) - [i76]Yao Teng, Haisong Liu, Sheng Guo, Limin Wang:
StageInteractor: Query-based Object Detector with Cross-stage Interaction. CoRR abs/2304.04978 (2023) - [i75]Chen Xu, Haocheng Shen, Fengyuan Shi, Boheng Chen, Yixuan Liao, Xiaoxin Chen, Limin Wang:
Progressive Visual Prompt Learning with Contrastive Feature Re-formation. CoRR abs/2304.08386 (2023) - [i74]Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, Limin Wang:
Efficient Video Action Detection with Token Dropout and Context Refinement. CoRR abs/2304.08451 (2023) - 2022
- [j17]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
Fully convolutional online tracking. Comput. Vis. Image Underst. 224: 103547 (2022) - [j16]Dapeng Du, Jiawei Chen, Yuexiang Li, Kai Ma, Gangshan Wu, Yefeng Zheng, Limin Wang:
Cross-Domain Gated Learning for Domain Generalization. Int. J. Comput. Vis. 130(11): 2842-2857 (2022) - [j15]Yi Liu, Limin Wang, Yali Wang, Xiao Ma, Yu Qiao:
FineAction: A Fine-Grained Video Dataset for Temporal Action Localization. IEEE Trans. Image Process. 31: 6937-6950 (2022) - [c68]Guo Chen, Yin-Dong Zheng, Limin Wang, Tong Lu:
DCAN: Improving Temporal Action Detection via Dual Context Aggregation. AAAI 2022: 248-257 - [c67]Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu:
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding. AAAI 2022: 2613-2623 - [c66]Jiaqi Tang, Zhaoyang Liu, Chen Qian, Wayne Wu, Limin Wang:
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection. CVPR 2022: 3345-3354 - [c65]Ziteng Gao, Limin Wang, Bing Han, Sheng Guo:
AdaMixer: A Fast-Converging Query-Based Object Detector. CVPR 2022: 5354-5363 - [c64]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
MixFormer: End-to-End Tracking with Iterative Mixed Attention. CVPR 2022: 13598-13608 - [c63]Jintao Lin, Haodong Duan, Kai Chen, Dahua Lin, Limin Wang:
OCSampler: Compressing Videos to One Clip with Single-step Sampling. CVPR 2022: 13884-13893 - [c62]Liang Zhao, Limin Wang:
Task-specific Inconsistency Alignment for Domain Adaptive Object Detection. CVPR 2022: 14197-14206 - [c61]Sheng Guo, Zihua Xiong, Yujie Zhong, Limin Wang, Xiaobo Guo, Bing Han, Weilin Huang:
Cross-Architecture Self-supervised Video Representation Learning. CVPR 2022: 19248-19257 - [c60]Yao Teng, Limin Wang:
Structured Sparse R-CNN for Direct Scene Graph Generation. CVPR 2022: 19415-19424 - [c59]Haoyue Cheng, Zhaoyang Liu, Hang Zhou, Chen Qian, Wayne Wu, Limin Wang:
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing. ECCV (34) 2022: 431-448 - [c58]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c57]Mengqi Cao, Min Yang, Guozhen Zhang, Xiaotian Li, Yilu Wu, Gangshan Wu, Limin Wang:
SpotFormer: A Transformer-based Framework for Precise Soccer Action Spotting. MMSP 2022: 1-6 - [c56]Jing Tan, Xiaotong Zhao, Xintian Shi, Bin Kang, Limin Wang:
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points. NeurIPS 2022 - [c55]Zhan Tong, Yibing Song, Jue Wang, Limin Wang:
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training. NeurIPS 2022 - [i73]Jintao Lin, Haodong Duan, Kai Chen, Dahua Lin, Limin Wang:
OCSampler: Compressing Videos to One Clip with Single-step Sampling. CoRR abs/2201.04388 (2022) - [i72]Jing Tan, Yuhong Wang, Gangshan Wu, Limin Wang:
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection. CoRR abs/2203.00307 (2022) - [i71]Yating Tian, Hongwen Zhang, Yebin Liu, Limin Wang:
Recovering 3D Human Mesh from Monocular Images: A Survey. CoRR abs/2203.01923 (2022) - [i70]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
MixFormer: End-to-End Tracking with Iterative Mixed Attention. CoRR abs/2203.11082 (2022) - [i69]Zhan Tong, Yibing Song, Jue Wang, Limin Wang:
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training. CoRR abs/2203.12602 (2022) - [i68]Liang Zhao, Limin Wang:
Task-specific Inconsistency Alignment for Domain Adaptive Object Detection. CoRR abs/2203.15345 (2022) - [i67]Ziteng Gao, Limin Wang, Bing Han, Sheng Guo:
AdaMixer: A Fast-Converging Query-Based Object Detector. CoRR abs/2203.16507 (2022) - [i66]Liang Zhao, Yao Teng, Limin Wang:
Logit Normalization for Long-tail Object Detection. CoRR abs/2203.17020 (2022) - [i65]Haoyue Cheng, Zhaoyang Liu, Hang Zhou, Chen Qian, Wayne Wu, Limin Wang:
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing. CoRR abs/2204.11573 (2022) - [i64]Tao Lu, Chunxu Liu, Youxin Chen, Gangshan Wu, Limin Wang:
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification. CoRR abs/2205.00847 (2022) - [i63]Min Yang, Guo Chen, Yin-Dong Zheng, Tong Lu, Limin Wang:
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection. CoRR abs/2205.02717 (2022) - [i62]Sheng Guo, Zihua Xiong, Yujie Zhong, Limin Wang, Xiaobo Guo, Bing Han, Weilin Huang:
Cross-Architecture Self-supervised Video Representation Learning. CoRR abs/2205.13313 (2022) - [i61]Jiaqi Tang, Zhaoyang Liu, Jing Tan, Chen Qian, Wayne Wu, Limin Wang:
Submission to Generic Event Boundary Detection Challenge@CVPR 2022: Local Context Modeling and Global Boundary Decoding Approach. CoRR abs/2206.15268 (2022) - [i60]Fengyuan Shi, Ruopeng Gao, Weilin Huang, Limin Wang:
Dynamic MDETR: A Dynamic Multimodal Transformer Decoder for Visual Grounding. CoRR abs/2209.13959 (2022) - [i59]Jing Tan, Xiaotong Zhao, Xintian Shi, Bin Kang, Limin Wang:
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points. CoRR abs/2210.11035 (2022) - [i58]Guo Chen, Sen Xing, Zhe Chen, Yi Wang, Kunchang Li, Yizhuo Li, Yi Liu, Jiahao Wang, Yin-Dong Zheng, Bingkun Huang, Zhiyu Zhao, Junting Pan, Yifei Huang, Zun Wang, Jiashuo Yu, Yinan He, Hongjie Zhang, Tong Lu, Yali Wang, Limin Wang, Yu Qiao:
InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges. CoRR abs/2211.09529 (2022) - [i57]Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Limin Wang, Yu Qiao:
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer. CoRR abs/2211.09552 (2022) - [i56]Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, Jilan Xu, Yi Liu, Zun Wang, Sen Xing, Guo Chen, Junting Pan, Jiashuo Yu, Yali Wang, Limin Wang, Yu Qiao:
InternVideo: General Video Foundation Models via Generative and Discriminative Learning. CoRR abs/2212.03191 (2022) - 2021
- [j14]Dapeng Du, Limin Wang, Zhaoyang Li, Gangshan Wu:
Cross-Modal Pyramid Translation for RGB-D Scene Recognition. Int. J. Comput. Vis. 129(8): 2309-2327 (2021) - [j13]Zeyu Ruan, Changqing Zou, Longhai Wu, Gangshan Wu, Limin Wang:
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction. IEEE Trans. Image Process. 30: 5793-5806 (2021) - [c54]Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu:
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark. BMVC 2021: 237 - [c53]Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu:
TDN: Temporal Difference Networks for Efficient Action Recognition. CVPR 2021: 1895-1904 - [c52]Tao Lu, Limin Wang, Gangshan Wu:
CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation. CVPR 2021: 11693-11702 - [c51]Tianhao Li, Limin Wang, Gangshan Wu:
Self Supervision to Distillation for Long-Tailed Visual Recognition. ICCV 2021: 610-619 - [c50]Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu:
MGSampler: An Explainable Sampling Strategy for Video Action Recognition. ICCV 2021: 1493-1502 - [c49]Ziteng Gao, Limin Wang, Gangshan Wu:
Mutual Supervision for Dense Object Detection. ICCV 2021: 3621-3630 - [c48]Hongwen Zhang, Yating Tian, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, Zhenan Sun:
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop. ICCV 2021: 11426-11436 - [c47]Jing Tan, Jiaqi Tang, Limin Wang, Gangshan Wu:
Relaxed Transformer Decoders for Direct Action Proposal Generation. ICCV 2021: 13506-13515 - [c46]Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang:
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions. ICCV 2021: 13516-13525 - [c45]Yao Teng, Limin Wang, Zhifeng Li, Gangshan Wu:
Target Adaptive Context Aggregation for Video Scene Graph Generation. ICCV 2021: 13668-13677 - [c44]Zhaoyang Liu, Limin Wang, Wayne Wu, Chen Qian, Tong Lu:
TAM: Temporal Adaptive Module for Video Recognition. ICCV 2021: 13688-13698 - [c43]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c42]Limin Wang:
Cross-modal Pretraining and Matching for Video Understanding. MMPT@ICMR 2021: 1-2 - [c41]Liwei Jin, Haoyue Cheng, Su Xu, Wayne Wu, Limin Wang:
NJU MCG - Sensetime Team Submission to Pre-training for Video Understanding Challenge Track II. ACM Multimedia 2021: 4799-4802 - [i55]Jing Tan, Jiaqi Tang, Limin Wang, Gangshan Wu:
Relaxed Transformer Decoders for Direct Action Proposal Generation. CoRR abs/2102.01894 (2021) - [i54]Hongwen Zhang, Yating Tian, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, Zhenan Sun:
3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop. CoRR abs/2103.16507 (2021) - [i53]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
Target Transformed Regression for Accurate Tracking. CoRR abs/2104.00403 (2021) - [i52]Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu:
MGSampler: An Explainable Sampling Strategy for Video Action Recognition. CoRR abs/2104.09952 (2021) - [i51]Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang:
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions. CoRR abs/2105.07404 (2021) - [i50]Yi Liu, Limin Wang, Xiao Ma, Yali Wang, Yu Qiao:
FineAction: A Fined Video Dataset for Temporal Action Localization. CoRR abs/2105.11107 (2021) - [i49]Zeyu Ruan, Changqing Zou, Longhai Wu, Gangshan Wu, Limin Wang:
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction. CoRR abs/2106.03021 (2021) - [i48]Yao Teng, Limin Wang:
Structured Sparse R-CNN for Direct Scene Graph Generation. CoRR abs/2106.10815 (2021) - [i47]Yao Teng, Limin Wang, Zhifeng Li, Gangshan Wu:
Target Adaptive Context Aggregation for Video Scene Graph Generation. CoRR abs/2108.08121 (2021) - [i46]Tianhao Li, Limin Wang, Gangshan Wu:
Self Supervision to Distillation for Long-Tailed Visual Recognition. CoRR abs/2109.04075 (2021) - [i45]Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu:
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding. CoRR abs/2109.04872 (2021) - [i44]Ziteng Gao, Limin Wang, Gangshan Wu:
Mutual Supervision for Dense Object Detection. CoRR abs/2109.05986 (2021) - [i43]Fengyuan Shi, Limin Wang, Weilin Huang:
End-to-End Dense Video Grounding via Parallel Regression. CoRR abs/2109.11265 (2021) - [i42]Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu:
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark. CoRR abs/2110.12358 (2021) - [i41]Guo Chen, Yin-Dong Zheng, Limin Wang, Tong Lu:
DCAN: Improving Temporal Action Detection via Dual Context Aggregation. CoRR abs/2112.03612 (2021) - [i40]Jiaqi Tang, Zhaoyang Liu, Chen Qian, Wayne Wu, Limin Wang:
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection. CoRR abs/2112.04771 (2021) - 2020
- [j12]Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, Dahua Lin:
Temporal Action Detection with Structured Segment Networks. Int. J. Comput. Vis. 128(1): 74-95 (2020) - [j11]Yin-Dong Zheng, Zhaoyang Liu, Tong Lu, Limin Wang:
Dynamic Sampling Networks for Efficient Action Recognition in Videos. IEEE Trans. Image Process. 29: 7970-7983 (2020) - [c40]Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu:
Finding Action Tubes with a Sparse-to-Dense Framework. AAAI 2020: 11466-11473 - [c39]Zhaoyang Liu, Donghao Luo, Yabiao Wang, Limin Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Tong Lu:
TEINet: Towards an Efficient Architecture for Video Recognition. AAAI 2020: 11669-11676 - [c38]Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott:
Knowledge Integration Networks for Action Recognition. AAAI 2020: 12862-12869 - [c37]Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang:
TEA: Temporal Excitation and Aggregation for Action Recognition. CVPR 2020: 906-915 - [c36]Chengying Gao, Qi Liu, Qi Xu, Limin Wang, Jianzhuang Liu, Changqing Zou:
SketchyCOCO: Image Generation From Freehand Scene Sketches. CVPR 2020: 5173-5182 - [c35]Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu:
Boundary-Aware Cascade Networks for Temporal Action Segmentation. ECCV (25) 2020: 34-51 - [c34]Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu:
Actions as Moving Points. ECCV (16) 2020: 68-84 - [c33]Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu:
Context-Aware RCNN: A Baseline for Action Detection in Videos. ECCV (25) 2020: 440-456 - [c32]Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang:
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning. ICLR 2020 - [i39]Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu:
Actions as Moving Points. CoRR abs/2001.04608 (2020) - [i38]Tianhao Li, Limin Wang:
Learning Spatiotemporal Features via Video and Text Pair Discrimination. CoRR abs/2001.05691 (2020) - [i37]Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang:
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning. CoRR abs/2002.07442 (2020) - [i36]Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott:
Knowledge Integration Networks for Action Recognition. CoRR abs/2002.07471 (2020) - [i35]Chengying Gao, Qi Liu, Qi Xu, Jianzhuang Liu, Limin Wang, Changqing Zou:
SketchyCOCO: Image Generation from Freehand Scene Sketches. CoRR abs/2003.02683 (2020) - [i34]Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang:
TEA: Temporal Excitation and Aggregation for Action Recognition. CoRR abs/2004.01398 (2020) - [i33]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
Fully Convolutional Online Tracking. CoRR abs/2004.07109 (2020) - [i32]Zhaoyang Liu, Limin Wang, Wayne Wu, Chen Qian, Tong Lu:
TAM: Temporal Adaptive Module for Video Recognition. CoRR abs/2005.06803 (2020) - [i31]Yin-Dong Zheng, Zhaoyang Liu, Tong Lu, Limin Wang:
Dynamic Sampling Networks for Efficient Action Recognition in Videos. CoRR abs/2006.15560 (2020) - [i30]Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu:
Context-Aware RCNN: A Baseline for Action Detection in Videos. CoRR abs/2007.09861 (2020) - [i29]Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu:
Finding Action Tubes with a Sparse-to-Dense Framework. CoRR abs/2008.13196 (2020) - [i28]Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu:
TDN: Temporal Difference Networks for Efficient Action Recognition. CoRR abs/2012.10071 (2020)
2010 – 2019
- 2019
- [j10]Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool:
Temporal Segment Networks for Action Recognition in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2740-2755 (2019) - [c31]Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen:
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition. AAAI 2019: 8401-8408 - [c30]Bowen Pan, Jiankai Sun, Wuwei Lin, Limin Wang, Weiyao Lin:
Cross-Stream Selective Networks for Action Recognition. CVPR Workshops 2019: 454-460 - [c29]Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu:
Learning Actor Relation Graphs for Group Activity Recognition. CVPR 2019: 9964-9974 - [c28]Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu:
Translate-to-Recognize Networks for RGB-D Scene Recognition. CVPR 2019: 11836-11845 - [c27]Ziteng Gao, Limin Wang, Gangshan Wu:
LIP: Local Importance-Based Pooling. ICCV 2019: 3354-3363 - [c26]Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. IJCAI 2019: 996-1002 - [i27]Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu:
Learning Actor Relation Graphs for Group Activity Recognition. CoRR abs/1904.10117 (2019) - [i26]Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu:
Translate-to-Recognize Networks for RGB-D Scene Recognition. CoRR abs/1904.12254 (2019) - [i25]Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
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