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2020 – today
- 2024
[j35]Zuxian Huang
, Dongsheng Pan, Gangshan Wu:
Weakly supervised instance segmentation via peak mining and filtering. IET Image Process. 18(6): 1565-1578 (2024)- [j34]Jun Tu, Gangshan Wu, Limin Wang:
Dual Graph Networks for Pose Estimation in Crowded Scenes. Int. J. Comput. Vis. 132(3): 633-653 (2024) - [j33]Yutao Cui, Cheng Jiang, Gangshan Wu, Limin Wang:
MixFormer: End-to-End Tracking With Iterative Mixed Attention. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4129-4146 (2024) - [j32]Tao Wu, Mengqi Cao, Ziteng Gao, Gangshan Wu, Limin Wang:
STMixer: A One-Stage Sparse Action Detector. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6842-6857 (2024) - [j31]Boyue Xu, Ruichao Hou, Jia Bei, Tongwei Ren, Gangshan Wu:
Jointly modeling association and motion cues for robust infrared UAV tracking. Vis. Comput. 40(12): 8413-8424 (2024) - [j30]Fan Yu, Yaqun Fang, Zhixiang Zhao, Jia Bei, Tongwei Ren, Gangshan Wu:
CAGNet: a context-aware graph neural network for detecting social relationships in videos. Vis. Intell. 2(1): 22 (2024) - [c146]Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. AAAI 2024: 1001-1009 - [c145]Zhiyu Zhao, Bingkun Huang, Sen Xing, Gangshan Wu, Yu Qiao, Limin Wang:
Asymmetric Masked Distillation for Pre-Training Small Foundation Models. CVPR 2024: 18516-18526 - [c144]Tao Wu, Runyu He, Gangshan Wu, Limin Wang:
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos. CVPR 2024: 18537-18546 - [c143]Yuhan Zhu, Guozhen Zhang, Jing Tan, Gangshan Wu, Limin Wang:
Dual DETRs for Multi-Label Temporal Action Detection. CVPR 2024: 18559-18569 - [c142]Boyue Xu, Ruichao Hou, Tongwei Ren, Gangshan Wu:
RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory. ICMR 2024: 1016-1024 - [c141]Tianrui Pan, Jie Liu, Bohan Wang, Jie Tang, Gangshan Wu:
RAVSS: Robust Audio-Visual Speech Separation in Multi-Speaker Scenarios with Missing Visual Cues. ACM Multimedia 2024: 4748-4756 - [i57]Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. CoRR abs/2401.14729 (2024) - [i56]Jiange Yang, Bei Liu, Jianlong Fu, Bocheng Pan, Gangshan Wu, Limin Wang:
Spatiotemporal Predictive Pre-training for Robotic Motor Control. CoRR abs/2403.05304 (2024) - [i55]Yuhan Zhu, Guozhen Zhang, Jing Tan, Gangshan Wu, Limin Wang:
Dual DETRs for Multi-Label Temporal Action Detection. CoRR abs/2404.00653 (2024) - [i54]Tao Wu, Runyu He, Gangshan Wu, Limin Wang:
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos. CoRR abs/2404.04565 (2024) - [i53]Tao Wu, Mengqi Cao, Ziteng Gao, Gangshan Wu, Limin Wang:
STMixer: A One-Stage Sparse Action Detector. CoRR abs/2404.09842 (2024) - [i52]Tao Wu, Shuqiu Ge, Jie Qin, Gangshan Wu, Limin Wang:
Open-Vocabulary Spatio-Temporal Action Detection. CoRR abs/2405.10832 (2024) - [i51]Yuhan Zhu, Yuyang Ji, Zhiyu Zhao, Gangshan Wu, Limin Wang:
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation. CoRR abs/2407.04603 (2024) - [i50]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang:
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation. CoRR abs/2407.10756 (2024) - [i49]Tianrui Pan, Jie Liu, Bohan Wang, Jie Tang, Gangshan Wu:
RAVSS: Robust Audio-Visual Speech Separation in Multi-Speaker Scenarios with Missing Visual Cues. CoRR abs/2407.19224 (2024) - [i48]Yuhan Zhu, Guozhen Zhang, Chen Xu, Haocheng Shen, Xiaoxin Chen, Gangshan Wu, Limin Wang:
Efficient Test-Time Prompt Tuning for Vision-Language Models. CoRR abs/2408.05775 (2024) - 2023
- [j29]Gangshan Wu, Yinlong Fang, Qiyou Jiang, Ming Cui, Na Li, Yunmeng Ou, Zhihua Diao, Baohua Zhang:
Early identification of strawberry leaves disease utilizing hyperspectral imaging combing with spectral features, multiple vegetation indices and textural features. Comput. Electron. Agric. 204: 107553 (2023) - [j28]Zuxian Huang, Gangshan Wu, Limin Wang:
Webly-supervised semantic segmentation via curriculum learning. Comput. Vis. Image Underst. 236: 103810 (2023) - [j27]Ziteng Gao, Limin Wang, Gangshan Wu:
LIP: Local Importance-Based Pooling. Int. J. Comput. Vis. 131(1): 363-384 (2023) - [j26]Jing Tan, Yuhong Wang, Gangshan Wu, Limin Wang:
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12506-12520 (2023) - [j25]Tao Lu, Chunxu Liu, Youxin Chen, Gangshan Wu, Limin Wang:
APP-Net: Auxiliary-Point-Based Push and Pull Operations for Efficient Point Cloud Recognition. IEEE Trans. Image Process. 32: 6500-6513 (2023) - [j24]Bincheng Yang, Gangshan Wu:
Efficient Single-image Super-resolution Using Dual path Connections with Multiple scale Learning. ACM Trans. Multim. Comput. Commun. Appl. 19(3): 115:1-115:21 (2023) - [c140]Jie Liu, Chao Chen, Jie Tang, Gangshan Wu:
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution. AAAI 2023: 1666-1674 - [c139]Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang:
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. AAAI 2023: 3145-3154 - [c138]Tao Lu, Xiang Ding, Haisong Liu, Gangshan Wu, Limin Wang:
LinK: Linear Kernel for LiDAR-based 3D Perception. CVPR 2023: 1105-1115 - [c137]Guozhen Zhang, Yuhan Zhu, Haonan Wang, Youxin Chen, Gangshan Wu, Limin Wang:
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation. CVPR 2023: 5682-5692 - [c136]Tao Wu, Mengqi Cao, Ziteng Gao, Gangshan Wu, Limin Wang:
STMixer: A One-Stage Sparse Action Detector. CVPR 2023: 14720-14729 - [c135]Bincheng Yang, Gangshan Wu:
Single Image Super-Resolution with Sequential Multi-axis Blocked Attention. ICANN (3) 2023: 136-148 - [c134]Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu:
Robust Object Modeling for Visual Tracking. ICCV 2023: 9555-9566 - [c133]Yutao Cui, Chenkai Zeng, Xiaoyu Zhao, Yichun Yang, Gangshan Wu, Limin Wang:
SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes. ICCV 2023: 9887-9897 - [c132]Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, Limin Wang:
Efficient Video Action Detection with Token Dropout and Context Refinement. ICCV 2023: 10354-10365 - [c131]Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - [c130]Ruichao Hou, Boyue Xu, Tongwei Ren, Gangshan Wu:
MTNet: Learning Modality-aware Representation with Transformer for RGBT Tracking. ICME 2023: 1163-1168 - [c129]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. IJCAI 2023: 1786-1794 - [c128]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu:
Lightweight Super-Resolution Head for Human Pose Estimation. ACM Multimedia 2023: 2353-2361 - [c127]Runze Liu, Yaqun Fang, Fan Yu, Ruiqi Tian, Tongwei Ren, Gangshan Wu:
Deep Video Understanding with Video-Language Model. ACM Multimedia 2023: 9551-9555 - [c126]Yaqun Fang, Ruichao Hou, Jia Bei, Tongwei Ren, Gangshan Wu:
ADNet: An Asymmetric Dual-Stream Network for RGB-T Salient Object Detection. MMAsia 2023: 66:1-66:7 - [c125]Boyue Xu, Yi Xu, Ruichao Hou, Jia Bei, Tongwei Ren, Gangshan Wu:
RGB-D Tracking via Hierarchical Modality Aggregation and Distribution Network. MMAsia 2023: 67:1-67:7 - [c124]Yutao Cui, Tianhui Song, Gangshan Wu, Limin Wang:
MixFormerV2: Efficient Fully Transformer Tracking. NeurIPS 2023 - [i47]Yutao Cui, Cheng Jiang, Gangshan Wu, Limin Wang:
MixFormer: End-to-End Tracking with Iterative Mixed Attention. CoRR abs/2302.02814 (2023) - [i46]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) - [i45]Guozhen Zhang, Yuhan Zhu, Haonan Wang, Youxin Chen, Gangshan Wu, Limin Wang:
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation. CoRR abs/2303.00440 (2023) - [i44]Tao Wu, Mengqi Cao, Ziteng Gao, Gangshan Wu, Limin Wang:
STMixer: A One-Stage Sparse Action Detector. CoRR abs/2303.15879 (2023) - [i43]Tao Lu, Xiang Ding, Haisong Liu, Gangshan Wu, Limin Wang:
LinK: Linear Kernel for LiDAR-based 3D Perception. CoRR abs/2303.16094 (2023) - [i42]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) - [i41]Yutao Cui, Chenkai Zeng, Xiaoyu Zhao, Yichun Yang, Gangshan Wu, Limin Wang:
SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes. CoRR abs/2304.05170 (2023) - [i40]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) - [i39]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. CoRR abs/2304.13596 (2023) - [i38]Yutao Cui, Tianhui Song, Gangshan Wu, Limin Wang:
MixFormerV2: Efficient Fully Transformer Tracking. CoRR abs/2305.15896 (2023) - [i37]Bincheng Yang, Gangshan Wu:
MaxSR: Image Super-Resolution Using Improved MaxViT. CoRR abs/2307.07240 (2023) - [i36]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu:
Lightweight Super-Resolution Head for Human Pose Estimation. CoRR abs/2307.16765 (2023) - [i35]Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu:
Robust Object Modeling for Visual Tracking. CoRR abs/2308.05140 (2023) - [i34]Chen Xu, Yuhan Zhu, Guozhen Zhang, Haocheng Shen, Yixuan Liao, Xiaoxin Chen, Gangshan Wu, Limin Wang:
DPL: Decoupled Prompt Learning for Vision-Language Models. CoRR abs/2308.10061 (2023) - [i33]Jiaming Zhang, Yutao Cui, Gangshan Wu, Limin Wang:
Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation. CoRR abs/2308.13505 (2023) - [i32]Zhiyu Zhao, Bingkun Huang, Sen Xing, Gangshan Wu, Yu Qiao, Limin Wang:
Asymmetric Masked Distillation for Pre-Training Small Foundation Models. CoRR abs/2311.03149 (2023) - 2022
- [j23]Jie Liu, Jie Tang, Gangshan Wu:
IAA-VSR: An iterative alignment algorithm for video super-resolution. Appl. Intell. 52(14): 16572-16585 (2022) - [j22]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
Fully convolutional online tracking. Comput. Vis. Image Underst. 224: 103547 (2022) - [j21]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) - [c123]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 - [c122]Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu:
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. CVPR Workshops 2022: 852-861 - [c121]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - [c120]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
MixFormer: End-to-End Tracking with Iterative Mixed Attention. CVPR 2022: 13598-13608 - [c119]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 - [c118]Wenfeng Li, Zongcai Du, Hao He, Jie Tang, Gangshan Wu:
Hierarchical Feature Aggregation Network for Deep Image Compression. ICASSP 2022: 1875-1879 - [c117]Hao He, Zongcai Du, Wenfeng Li, Jie Tang, Gangshan Wu:
Pyramid Fusion Attention Network For Single Image Super-Resolution. ICASSP 2022: 2165-2169 - [c116]Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Two Strategies Toward Lightweight Image Super-Resolution. ICASSP 2022: 4478-4482 - [c115]Ruichao Hou, Tongwei Ren, Gangshan Wu:
MIRNet: A Robust RGBT Tracking Jointly with Multi-Modal Interaction and Refinement. ICME 2022: 1-6 - [c114]Yunqing He, Xu Sun, Hui Jiang, Tongwei Ren, Gangshan Wu, Maria Sinziana Astefanoaei, Andreas Leibetseder:
Reproducibility Companion Paper: Human Object Interaction Detection via Multi-level Conditioned Network. ICMR 2022: 681-684 - [c113]Yunqing He, Tongwei Ren, Jinhui Tang, Gangshan Wu:
Heterogeneous Learning for Scene Graph Generation. ACM Multimedia 2022: 4704-4713 - [c112]Beibei Zhang, Yaqun Fang, Tongwei Ren, Gangshan Wu:
Multimodal Analysis for Deep Video Understanding with Video Language Transformer. ACM Multimedia 2022: 7165-7169 - [c111]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 - [i31]Jing Tan, Yuhong Wang, Gangshan Wu, Limin Wang:
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection. CoRR abs/2203.00307 (2022) - [i30]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
MixFormer: End-to-End Tracking with Iterative Mixed Attention. CoRR abs/2203.11082 (2022) - [i29]Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu:
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. CoRR abs/2204.08397 (2022) - [i28]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) - [i27]Fan Yu, Zhixiang Zhao, Yuchen Wang, Yi Xu, Tongwei Ren, Gangshan Wu:
Human-centric Spatio-Temporal Video Grounding via the Combination of Mutual Matching Network and TubeDETR. CoRR abs/2207.04201 (2022) - [i26]Jie Liu, Chao Chen, Jie Tang, Gangshan Wu:
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution. CoRR abs/2211.16776 (2022) - 2021
- [j20]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) - [j19]Ning Cao, Wei Huo, Taihe Lin, Gangshan Wu:
Application of convolutional neural networks and image processing algorithms based on traffic video in vehicle taillight detection. Int. J. Sens. Networks 35(3): 181-192 (2021) - [j18]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) - [c110]Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu:
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark. BMVC 2021: 237 - [c109]Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu:
TDN: Temporal Difference Networks for Efficient Action Recognition. CVPR 2021: 1895-1904 - [c108]Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Anchor-Based Plain Net for Mobile Image Super-Resolution. CVPR Workshops 2021: 2494-2502 - [c107]Tao Lu, Limin Wang, Gangshan Wu:
CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation. CVPR 2021: 11693-11702 - [c106]Zhe Zhang, Jie Tang, Gangshan Wu:
Lightweight Human Pose Estimation under Resource-Limited Scenes. ICASSP 2021: 2170-2174 - [c105]Zhe Feng, Jie Tang, Yishun Dou, Gangshan Wu:
Learning Discriminative Features for Semi-Supervised Anomaly Detection. ICASSP 2021: 2935-2939 - [c104]Tianhao Li, Limin Wang, Gangshan Wu:
Self Supervision to Distillation for Long-Tailed Visual Recognition. ICCV 2021: 610-619 - [c103]Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu:
MGSampler: An Explainable Sampling Strategy for Video Action Recognition. ICCV 2021: 1493-1502 - [c102]Ziteng Gao, Limin Wang, Gangshan Wu:
Mutual Supervision for Dense Object Detection. ICCV 2021: 3621-3630 - [c101]Jing Tan, Jiaqi Tang, Limin Wang, Gangshan Wu:
Relaxed Transformer Decoders for Direct Action Proposal Generation. ICCV 2021: 13506-13515 - [c100]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 - [c99]Yao Teng, Limin Wang, Zhifeng Li, Gangshan Wu:
Target Adaptive Context Aggregation for Video Scene Graph Generation. ICCV 2021: 13668-13677 - [c98]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 - [c97]Xu Sun, Yunqing He, Tongwei Ren, Gangshan Wu:
Spatial-Temporal Human-Object Interaction Detection. ICME 2021: 1-6 - [c96]