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2020 – today
- 2024
[j34]Zuxian Huang
, Dongsheng Pan, Gangshan Wu:
Weakly supervised instance segmentation via peak mining and filtering. IET Image Process. 18(6): 1565-1578 (2024)- [j33]Jun Tu, Gangshan Wu, Limin Wang:
Dual Graph Networks for Pose Estimation in Crowded Scenes. Int. J. Comput. Vis. 132(3): 633-653 (2024) - [j32]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) - [j31]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) - [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) - [c145]Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. AAAI 2024: 1001-1009 - [c144]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 - [c143]Tao Wu, Runyu He, Gangshan Wu, Limin Wang:
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos. CVPR 2024: 18537-18546 - [c142]Yuhan Zhu, Guozhen Zhang, Jing Tan, Gangshan Wu, Limin Wang:
Dual DETRs for Multi-Label Temporal Action Detection. CVPR 2024: 18559-18569 - [c141]Boyue Xu, Ruichao Hou, Tongwei Ren, Gangshan Wu:
RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory. ICMR 2024: 1016-1024 - [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]Fan Yu, Haonan Wang, Tongwei Ren, Jinhui Tang, Gangshan Wu, Jingjing Chen, Zhenzhong Kuang:
Reproducibility Companion Paper: Visual Relation of Interest Detection. ACM Multimedia 2021: 3633-3637 - [c95]Beibei Zhang, Fan Yu, Yanxin Gao, Tongwei Ren, Gangshan Wu:
Joint Learning for Relationship and Interaction Analysis in Video with Multimodal Feature Fusion. ACM Multimedia 2021: 4848-4852 - [c94]Beibei Zhang, Fan Yu, Yaqun Fang, Tongwei Ren, Gangshan Wu:
Hybrid Improvements in Multimodal Analysis for Deep Video Understanding. MMAsia 2021: 69:1-69:5 - [i25]Jing Tan, Jiaqi Tang, Limin Wang, Gangshan Wu:
Relaxed Transformer Decoders for Direct Action Proposal Generation. CoRR abs/2102.01894 (2021) - [i24]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
Target Transformed Regression for Accurate Tracking. CoRR abs/2104.00403 (2021) - [i23]Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu:
MGSampler: An Explainable Sampling Strategy for Video Action Recognition. CoRR abs/2104.09952 (2021) - [i22]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) - [i21]Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Anchor-based Plain Net for Mobile Image Super-Resolution. CoRR abs/2105.09750 (2021) - [i20]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) - [i19]Yao Teng, Limin Wang, Zhifeng Li, Gangshan Wu:
Target Adaptive Context Aggregation for Video Scene Graph Generation. CoRR abs/2108.08121 (2021) - [i18]Tianhao Li, Limin Wang, Gangshan Wu:
Self Supervision to Distillation for Long-Tailed Visual Recognition. CoRR abs/2109.04075 (2021) - [i17]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) - [i16]Ziteng Gao, Limin Wang, Gangshan Wu:
Mutual Supervision for Dense Object Detection. CoRR abs/2109.05986 (2021) - [i15]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) - [i14]Jie Liu, Jie Tang, Gangshan Wu:
AdaDM: Enabling Normalization for Image Super-Resolution. CoRR abs/2111.13905 (2021) - [i13]Bincheng Yang, Gangshan Wu:
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning. CoRR abs/2112.15386 (2021) - 2020
- [j17]Gangshan Wu, Qiyou Jiang, Yuhao Bai, Chongfeng Tian, Wei Pan, Xinxin Jin, Baohua Zhang:
Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis. IEEE Access 8: 126039-126050 (2020) - [j16]Sheng-Hua Zhong, Yuantian Wang, Tongwei Ren, Mingjie Zheng, Yan Liu, Gangshan Wu:
Steganographer Detection via Multi-Scale Embedding Probability Estimation. ACM Trans. Multim. Comput. Commun. Appl. 15(4): 103:1-103:23 (2020) - [c93]Wenhui Li, Dan Song, Anan Liu, Weizhi Nie, Ting Zhang, Xiaoqian Zhao, Mingsheng Ma, Yuqian Li, Heyu Zhou, Beibei Zhang, Shengjie Le, Dandan Wang, Tongwei Ren, Gangshan Wu, The-Anh Vu-Le, Xuan-Nhat Hoang, E-Ro Nguyen, Thang-Long Nguyen-Ho, Hai-Dang Nguyen, Trong-Le Do, Minh-Triet Tran:
SHREC 2020 Track: Extended Monocular Image Based 3D Model Retrieval. 3DOR 2020: 37-44 - [c92]Jie Liu, Wenjie Zhang, Yuting Tang, Jie Tang, Gangshan Wu:
Residual Feature Aggregation Network for Image Super-Resolution. CVPR 2020: 2356-2365 - [c91]Jie Liu, Yishun Dou, Wenjie Zhang, Jie Tang, Gangshan Wu:
Belief Map Enhancement Network for Accurate Human Pose Estimation. ECAI 2020: 2736-2743 - [c90]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c89]Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu:
Boundary-Aware Cascade Networks for Temporal Action Segmentation. ECCV (25) 2020: 34-51 - [c88]Jie Liu, Jie Tang, Gangshan Wu:
Residual Feature Distillation Network for Lightweight Image Super-Resolution. ECCV Workshops (3) 2020: 41-55 - [c87]Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu:
Actions as Moving Points. ECCV (16) 2020: 68-84 - [c86]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 - [c85]Minqiang Zou, Jie Tang, Gangshan Wu:
Low Complexity Single Image Super-Resolution with Channel Splitting and Fusion Network. ICASSP 2020: 2398-2402 - [c84]Xu Sun, Xinwen Hu, Tongwei Ren, Gangshan Wu:
Human Object Interaction Detection via Multi-level Conditioned Network. ICMR 2020: 26-34 - [c83]Fan Yu, Haonan Wang, Tongwei Ren, Jinhui Tang, Gangshan Wu:
Visual Relation of Interest Detection. ACM Multimedia 2020: 1386-1394 - [c82]Jie Liu, Minqiang Zou, Jie Tang, Gangshan Wu:
Memory Recursive Network for Single Image Super-Resolution. ACM Multimedia 2020: 2202-2210 - [c81]Fan Yu, Dandan Wang, Haonan Wang, Tongwei Ren, Jinhui Tang, Gangshan Wu, Jingjing Chen, Michael Riegler:
Reproducibility Companion Paper: Instance of Interest Detection. ACM Multimedia 2020: 4435-4438 - [i12]Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu:
Actions as Moving Points. CoRR abs/2001.04608 (2020) - [i11]Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
Fully Convolutional Online Tracking. CoRR abs/2004.07109 (2020) - [i10]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) - [i9]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i8]Jie Liu, Jie Tang, Gangshan Wu:
Residual Feature Distillation Network for Lightweight Image Super-Resolution. CoRR abs/2009.11551 (2020) - [i7]Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu:
TDN: Temporal Difference Networks for Efficient Action Recognition. CoRR abs/2012.10071 (2020)
2010 – 2019
- 2019
- [j15]Xiaojia Pu, Gangshan Wu, Chunfeng Yuan:
Exploring overall opinions for document level sentiment classification with structural SVM. Multim. Syst. 25(1): 21-33 (2019) - [j14]Xiaojia Pu, Gangshan Wu, Chunfeng Yuan:
User-aware topic modeling of online reviews. Multim. Syst. 25(1): 59-69 (2019) - [c80]Wenhui Li, Anan Liu, Weizhi Nie, Dan Song, Yuqian Li, Weijie Wang, Shu Xiang, Heyu Zhou, Ngoc-Minh Bui, Yunchi Cen, Zenian Chen, Huy-Hoang Chung-Nguyen, Gia-Han Diep, Trong-Le Do, Eugeni L. Doubrovski, Anh Duc Duong, Jo M. P. Geraedts, Haobin Guo, Trung-Hieu Hoang, Yichen Li, Xing Liu, Zishun Liu, Duc-Tuan Luu, Yunsheng Ma, Vinh-Tiep Nguyen, Jie Nie, Tongwei Ren, Mai-Khiem Tran, Son-Thanh Tran-Nguyen, Minh-Triet Tran, The-Anh Vu-Le, Charlie C. L. Wang, Shijie Wang, Gangshan Wu, Caifei Yang, Meng Yuan, Hao Zhai, Ao Zhang, Fan Zhang, Sicheng Zhao:
Monocular Image Based 3D Model Retrieval. 3DOR@Eurographics 2019: 103-110 - [c79]Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu:
Learning Actor Relation Graphs for Group Activity Recognition. CVPR 2019: 9964-9974 - [c78]Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu:
Translate-to-Recognize Networks for RGB-D Scene Recognition. CVPR 2019: 11836-11845 - [c77]Ziteng Gao, Limin Wang, Gangshan Wu:
LIP: Local Importance-Based Pooling. ICCV 2019: 3354-3363 - [c76]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 - [c75]Xu Sun, Yuan Zi, Tongwei Ren, Jinhui Tang, Gangshan Wu:
Hierarchical Visual Relationship Detection. ACM Multimedia 2019: 94-102 - [c74]Xin Tan, Chun Tao, Tongwei Ren, Jinhui Tang, Gangshan Wu:
Crowd Counting via Multi-layer Regression. ACM Multimedia 2019: 1907-1915 - [c73]Fan Yu, Haonan Wang, Tongwei Ren, Jinhui Tang, Gangshan Wu:
Instance of Interest Detection. ACM Multimedia 2019: 1997-2005 - [c72]Xu Sun, Tongwei Ren, Yuan Zi, Gangshan Wu:
Video Visual Relation Detection via Multi-modal Feature Fusion. ACM Multimedia 2019: 2657-2661 - [c71]Zhixiang Ji, Jie Tang, Gangshan Wu:
Personalized Recommendation of Photography Based on Deep Learning. MMM (1) 2019: 214-226 - [i6]Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu:
Learning Actor Relation Graphs for Group Activity Recognition. CoRR abs/1904.10117 (2019) - [i5]Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu:
Translate-to-Recognize Networks for RGB-D Scene Recognition. CoRR abs/1904.12254 (2019) - [i4]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. CoRR abs/1905.10955 (2019) - [i3]Ziteng Gao, Limin Wang, Gangshan Wu:
LIP: Local Importance-based Pooling. CoRR abs/1908.04156 (2019) - [i2]Zhe Zhang, Jie Tang, Gangshan Wu:
Simple and Lightweight Human Pose Estimation. CoRR abs/1911.10346 (2019) - 2018
- [j13]Huiling Wang, Xiaolong Qi, Gangshan Wu:
基于深度卷积神经网络的目标检测技术的研究进展 (Research Progress of Object Detection Technology Based on Convolutional Neural Network in Deep Learning). 计算机科学 45(9): 11-19 (2018) - [j12]Wenjing Geng, Chunlong Zhang, Gangshan Wu:
Adaptive video object proposals by a context-aware model. Multim. Tools Appl. 77(9): 10589-10614 (2018) - [j11]Yuantian Wang, Tongwei Ren, Sheng-hua Zhong, Yan Liu, Gangshan Wu:
Adaptive saliency cuts. Multim. Tools Appl. 77(17): 22213-22230 (2018) - [c70]Fan Yu, Xin Tan, Tongwei Ren, Gangshan Wu:
Human-Centric Visual Relation Segmentation Using Mask R-CNN and VTransE. ECCV Workshops (2) 2018: 582-589 - [c69]Xuan Huang, Xingkun Gao, Jie Tang, Gangshan Wu:
A Parallel Method for All-Pair SimRank Similarity Computation. ICA3PP (1) 2018: 593-607 - [c68]Weiqian Lu, Gangshan Wu:
Salient object detection via multi-scale neural network. ICIMCS 2018: 16:1-16:5 - [c67]Dapeng Du, Xiangyang Xu, Tongwei Ren, Gangshan Wu:
Depth Images Could Tell us More: Enhancing Depth Discriminability for RGB-D Scene Recognition. ICME 2018: 1-6 - [c66]Xu Sun, Yuantian Wang, Tongwei Ren, Zhi Liu, Zheng-Jun Zha, Gangshan Wu:
Object Trajectory Proposal via Hierarchical Volume Grouping. ICMR 2018: 344-352 - [c65]Xingyu Liu, Jingfan Guo, Tongwei Ren, Yahong Han, Lei Huang, Gangshan Wu:
HeterStyle: A Heterogeneous Video Style Transfer Application. ACM Multimedia 2018: 1272-1273 - [c64]Xingzhou Luo, Dapeng Du, Gangshan Wu:
Robust and Real-Time Visual Tracking Based on Complementary Learners. MMM (2) 2018: 213-225 - 2017
- [j10]Xiangyang Xu, Yuncheng Li, Gangshan Wu, Jiebo Luo:
Multi-modal deep feature learning for RGB-D object detection. Pattern Recognit. 72: 300-313 (2017) - [c63]Jingfan Guo, Tongwei Ren, Lei Huang, Xingyu Liu, Ming-Ming Cheng, Gangshan Wu:
Video salient object detection via cross-frame cellular automata. ICME 2017: 325-330 - [c62]Xindi Shang, Tongwei Ren, Hanwang Zhang, Gangshan Wu, Tat-Seng Chua:
Object trajectory proposal. ICME 2017: 331-336 - [c61]Jie Liu, Xingkun Gao, Nianyuan Bao, Jie Tang, Gangshan Wu:
Deep convolutional neural networks for pedestrian detection with skip pooling. IJCNN 2017: 2056-2063 - [c60]Xiaojia Pu, Gangshan Wu, Chunfeng Yuan:
Sentiment analysis with the exploration of overall opinion sentences. IJCNN 2017: 2392-2399 - [c59]Jie Tang, Junlei Gao, Gangshan Wu:
Improving Scheduling Efficiency of Hadoop YARN Using AFSA Algorithm. ISPA/IUCC 2017: 919-924 - [c58]Yuantian Wang, Lei Huang, Tongwei Ren, Sheng-hua Zhong, Yan Liu, Gangshan Wu:
Object Proposal via Depth Connectivity Constrained Grouping. PCM (2) 2017: 34-44 - [c57]Dapeng Du, Na Liu, Xiangyang Xu, Gangshan Wu:
Don't Be Confused: Region Mapping Based Visual Place Recognition. PCM (2) 2017: 467-476 - 2016
- [j9]Tongwei Ren, Yan Liu, Ran Ju, Gangshan Wu:
How important is location information in saliency detection of natural images. Multim. Tools Appl. 75(5): 2543-2564 (2016) - [c56]Na Liu, Ran Ju, Tongwei Ren, Gangshan Wu:
A Saliency-Guided Method for Automatic Photo Refocusing. ICIMCS 2016: 264-267 - [c55]Wenjing Geng, Dapeng Du, Tongwei Ren, Gangshan Wu:
User-oriented stereo video refocusing by computational cinematographic model. ICME 2016: 1-6 - [c54]Xingkun Gao, Nianyuan Bao, Jie Liu, Jie Tang, Gangshan Wu:
Scalable Single-Source SimRank Computation for Large Graphs. ICPADS 2016: 1083-1091 - [c53]Wenjing Geng, Gangshan Wu:
Context-Aware Video Object Proposals. ICPADS 2016: 1203-1206 - [c52]Wenjing Geng, Shuzhen Li, Tongwei Ren, Gangshan Wu:
Object proposals using SVM-based integrated model. IJCNN 2016: 4154-4161 - [c51]Ben Zhang, Ran Ju, Tongwei Ren, Gangshan Wu:
Say Cheese: Personal Photography Layout Recommendation Using 3D Aesthetics Estimation. PCM (2) 2016: 13-23 - [c50]Changtian Sun, Gangshan Wu:
Depth Extraction from a Light Field Camera Using Weighted Median Filtering. PCM (2) 2016: 180-189 - 2015
- [j8]Danny Ziyi Chen, Xuehou Tan, Haitao Wang, Gangshan Wu:
Optimal Point Movement for Covering Circular Regions. Algorithmica 72(2): 379-399 (2015) - [j7]Ran Ju, Yang Liu, Tongwei Ren, Ling Ge, Gangshan Wu:
Depth-aware salient object detection using anisotropic center-surround difference. Signal Process. Image Commun. 38: 115-126 (2015) - [c49]Xiaojia Pu, Rong Jin, Gangshan Wu, Dingyi Han, Gui-Rong Xue:
Topic Modeling in Semantic Space with Keywords. CIKM 2015: 1141-1150 - [c48]Chen Yang, Jie Tang, Heng Gao, Gangshan Wu:
Pre-stack Kirchhoff Time Migration on Hadoop and Spark. ICA3PP (3) 2015: 190-202 - [c47]Nianyuan Bao, Jie Tang, Xiaoyu Zhang, Gangshan Wu:
A New Data Replication Scheme for PVFS2. ICA3PP (3) 2015: 475-491 - [c46]Xiaoyu Zhang, Jie Tang, Heng Gao, Gangshan Wu:
A Dynamic Extension and Data Migration Method Based on PVFS. ICA3PP (2) 2015: 540-552 - [c45]Ran Ju, Tongwei Ren, Gangshan Wu:
StereoSnakes: Contour Based Consistent Object Extraction for Stereo Images. ICCV 2015: 1724-1732 - [c44]Heng Gao, Jie Tang, Gangshan Wu:
Parallel surface reconstruction on GPU. ICIMCS 2015: 54:1-54:5 - [c43]Ling Ge, Ran Ju, Gangshan Wu:
Combination of region and contour models for interactive image segmentation. ICIMCS 2015: 55:1-55:4 - [c42]Shuzhen Li, Ran Ju, Tongwei Ren, Gangshan Wu:
Saliency cuts based on adaptive triple thresholding. ICIP 2015: 4609-4613 - [c41]Xiangyang Xu, Ling Ge, Tongwei Ren, Gangshan Wu:
Adaptive integration of depth and color for objectness estimation. ICME 2015: 1-6 - [c40]Rajiv Ratn Shah, Anwar Dilawar Shaikh, Yi Yu, Wenjing Geng, Roger Zimmermann, Gangshan Wu:
EventBuilder: Real-time Multimedia Event Summarization by Visualizing Social Media. ACM Multimedia 2015: 185-188 - [c39]Wenjing Geng, Ran Ju, Xiangyang Xu, Tongwei Ren, Gangshan Wu:
Flat3D: Browsing Stereo Images on a Conventional Screen. MMM (1) 2015: 546-558 - [c38]Ling Ge, Ran Ju, Tongwei Ren, Gangshan Wu:
Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance. PCM (1) 2015: 114-124 - 2014
- [j6]Qiaojin Guo, Ning Li, Yu-Bin Yang, Gangshan Wu:
Image annotation by modeling Supporting Region Graph. Appl. Intell. 40(3): 389-403 (2014) - [j5]Yang Yang, Linjun Yang, Gangshan Wu, Shipeng Li:
Image Relevance Prediction Using Query-Context Bag-of-Object Retrieval Model. IEEE Trans. Multim. 16(6): 1700-1712 (2014) - [c37]Tongwei Ren, Ran Ju, Yan Liu, Gangshan Wu:
How Important is Location in Saliency Detection. ICIMCS 2014: 10 - [c36]Xiangyang Xu, Tongwei Ren, Gangshan Wu:
CLSH: Cluster-based Locality-Sensitive Hashing. ICIMCS 2014: 144 - [c35]Wenjing Geng, Yang Yang, Ran Ju, Tongwei Ren, Gangshan Wu:
Fast Binocular Depth Inference via Bidirectional Motion Based Interpolation. ICIMCS 2014: 213 - [c34]Ran Ju, Ling Ge, Wenjing Geng, Tongwei Ren, Gangshan Wu:
Depth saliency based on anisotropic center-surround difference. ICIP 2014: 1115-1119 - [c33]Xiangyang Xu, Wenjing Geng, Ran Ju, Yang Yang, Tongwei Ren, Gangshan Wu:
OBSIR: Object-based stereo image retrieval. ICME 2014: 1-6 - 2013
- [j4]Xuehou Tan, Gangshan Wu:
Approximation algorithms for cutting a convex polyhedron out of a sphere. Theor. Comput. Sci. 508: 66-73 (2013) - [c32]Heng Gao, Jie Tang, Gangshan Wu:
A MapReduce Computing Framework Based on GPU Cluster. HPCC/EUC 2013: 1902-1907 - [c31]Qiaojin Guo, Ning Li, Yu-Bin Yang, Gangshan Wu:
Integrating image segmentation and annotation using supervised PLSA. ICIP 2013: 3800-3804 - [c30]Chunrong Xia, Yang Yang, Ran Ju, Gangshan Wu:
Effective local stereo matching by extended triangular interpolation. ICME 2013: 1-6 - [c29]Yang Yang, Linjun Yang, Gangshan Wu:
Smart Thumbnail: Automatic Image Cropping by Mining Canonical Query Objects. PCM 2013: 337-349 - [c28]Ran Ju, Yang Yang, Xiangyang Xu, Chunrong Xia, Gangshan Wu:
A Complementary Aggregation Approach for Local Stereo Matching Using Color and Correlation Cues. PCM 2013: 372-383 - [c27]Ran Ju, Xiangyang Xu, Yang Yang, Gangshan Wu:
Stereo GrabCut: Interactive and Consistent Object Extraction for Stereo Images. PCM 2013: 418-429 - 2012
- [c26]Yu Jin, Xiaoxiang Hu, Gangshan Wu:
A Tai Chi Training System Based on Fast Skeleton Matching Algorithm. ECCV Workshops (3) 2012: 667-670 - [c25]Danny Z. Chen, Xuehou Tan, Haitao Wang, Gangshan Wu:
Optimal Point Movement for Covering Circular Regions. ISAAC 2012: 332-341 - [c24]Sheng-hua Zhong, Yan Liu, Korris Fu-Lai Chung, Gangshan Wu:
Semiconducting bilinear deep learning for incomplete image recognition. ICMR 2012: 32 - [c23]Yang Yang, Linjun Yang, Gangshan Wu, Shipeng Li:
A bag-of-objects retrieval model for web image search. ACM Multimedia 2012: 49-58 - [c22]Sheng-hua Zhong, Yan Liu, Gangshan Wu:
S-SIFT: A Shorter SIFT without Least Discriminability Visual Orientation. Web Intelligence 2012: 669-672 - 2011
- [c21]Xuehou Tan, Gangshan Wu:
Approximation Algorithms for Cutting a Convex Polyhedron Out of a Sphere. FAW-AAIM 2011: 125-135 - [c20]Jinwei Xiao, Gangshan Wu:
A Robust and Compact Descriptor Based on Center-Symmetric LBP. ICIG 2011: 388-393 - [c19]Qiaojin Guo, Ning Li, Yubin Yang, Gangshan Wu:
Image Annotation with Multiple Quantization. ICIG 2011: 631-635 - [c18]Sheng-hua Zhong, Yan Liu, Ling Shao, Gangshan Wu:
Unsupervised saliency detection based on 2D Gabor and Curvelets transforms. ICIMCS 2011: 146-149 - [c17]Qiaojin Guo, Ning Li, Yu-Bin Yang, Gangshan Wu:
Supervised LDA for Image Annotation. SMC 2011: 471-476 - [i1]Danny Z. Chen, Xuehou Tan, Haitao Wang, Gangshan Wu:
Optimal Point Movement for Covering Circular Regions. CoRR abs/1107.1012 (2011) - 2010
- [c16]Xuehou Tan, Gangshan Wu:
New Algorithms for Barrier Coverage with Mobile Sensors. FAW 2010: 327-338 - [c15]Tongwei Ren, Yan Liu, Gangshan Wu:
Rapid image retargeting based on curve-edge grid representation. ICIP 2010: 869-872 - [c14]Tongwei Ren, Gangshan Wu:
Automatic image retargeting evaluation based on user perception. ICIP 2010: 1569-1572 - [c13]Jie Tang, Gangshan Wu, Bo Xu, Zhongliang Gong:
Interective Point Clouds Fairing on Many-Core System. ISPA 2010: 557-562 - [c12]Ying Lin, Yang Yang, Kang Ling, Jinwei Xiao, Pei Yang, Gangshan Wu:
Nanjing University in TRECVID 2010. TRECVID 2010
2000 – 2009
- 2009
- [j3]Zhigeng Pan, Wenzhi Chen, Mingmin Zhang, Jianfeng Liu, Gangshan Wu:
Virtual Reality in the Digital Olympic Museum. IEEE Computer Graphics and Applications 29(5): 91-95 (2009) - [c11]Yaqiong Wang, Yang Yang, Tongwei Ren, Gangshan Wu:
A Motion-Insensitive Dissolve Detection Method with SURF. ICIG 2009: 451-456 - [c10]Tongwei Ren, Yan Liu, Gangshan Wu:
Image retargeting based on global energy optimization. ICME 2009: 406-409 - [c9]Tongwei Ren, Yan Liu, Gangshan Wu:
Image retargeting using multi-map constrained region warping. ACM Multimedia 2009: 853-856 - [c8]Yang Yang, Jingwei Xiao, Kang Lin, Gangshan Wu, Tongwei Ren, Yaqiong Wang:
Nanjing University in TRECVID 2009. TRECVID 2009 - 2008
- [c7]Tongwei Ren, Yan Liu, Gangshan Wu:
Full-Reference Quality Assessment for Video Summary. ICDM Workshops 2008: 874-883 - [c6]Tongwei Ren, Yanwen Guo, Gangshan Wu, Fuyan Zhang:
Constrained sampling for image retargeting. ICME 2008: 1397-1400 - 2007
- [j2]Jie Tang, Gangshan Wu, Fuyan Zhang, Mingmin Zhang:
Fast approximate geodesic paths on triangle mesh. Int. J. Autom. Comput. 4(1): 8-13 (2007) - 2006
- [j1]Shaochun Dong, Shijin Xu, Gangshan Wu:
Earth Science Digital Museum (ESDM): Toward a new paradigm for museums. Comput. Geosci. 32(6): 793-802 (2006) - [c5]Liang Ji, Gangshan Wu, Wenjun Dai:
An Efficient Mechanism for 3D Model Retrieval. ICAT Workshops 2006: 42-46 - [c4]Mingyong Pang, Wenjun Dai, Gangshan Wu, Fuyan Zhang:
On Volume Distribution Features Based 3D Model Retrieval. ICAT 2006: 928-937 - [c3]Tongwei Ren, Gangshan Wu:
Content-Based Retrieval of Cultural Relic Images in Digital Museum. ICAT 2006: 1108-1117 - 2003
- [c2]Jun Wang, Jicheng Wang, Gangshan Wu, Hiroshi Tsuda:
On Intra-page and Inter-page Semantic Analysis of Web Pages. PACLIC 2003: 408-415 - 2000
- [c1]Gangshan Wu, Fuyan Zhang:
Synchronization validation mechanism in multimedia document presentation. SMC 2000: 810-815
Coauthor Index
[j30] [c141] [c130] [c127] [c126] [c125] [c115] [c114] [c113] [c112] [i27] [c97] [c96] [c95] [c94] [j16] [c93] [c84] [c83] [c81] [c80] [c75] [c74] [c73] [c72] [j11] [c70] [c67] [c66] [c65] [c63] [c62] [c58] [j9] [c56] [c55] [c52] [c51] [j7] [c45] [c42] [c41] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c15] [c14] [c11] [c10] [c9] [c8] [c7] [c6] [c3]
[j33] [j32] [j31] [c144] [c143] [c142] [i56] [i55] [i54] [i53] [i52] [i48] [j28] [j27] [j26] [j25] [c139] [c138] [c137] [c136] [c133] [c132] [c131] [c124] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i38] [i34] [i33] [i32] [j22] [j21] [c123] [c120] [c119] [c111] [i31] [i30] [i28] [j20] [j18] [c110] [c109] [c107] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [i25] [i24] [i23] [i22] [i20] [i19] [i18] [i17] [i16] [i15] [c89] [c87] [c86] [i12] [i11] [i10] [i7] [c79] [c78] [c77] [c76] [i6] [i5] [i4] [i3]
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