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2020 – today
- 2023
[j25]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)- [j24]Ziteng Gao, Limin Wang
, Gangshan Wu:
LIP: Local Importance-Based Pooling. Int. J. Comput. Vis. 131(1): 363-384 (2023) - [i40]Yutao Cui, Cheng Jiang, Gangshan Wu, Limin Wang:
MixFormer: End-to-End Tracking with Iterative Mixed Attention. CoRR abs/2302.02814 (2023) - [i39]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) - [i38]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) - [i37]Tao Wu, Mengqi Cao, Ziteng Gao, Gangshan Wu, Limin Wang:
STMixer: A One-Stage Sparse Action Detector. CoRR abs/2303.15879 (2023) - [i36]Tao Lu, Xiang Ding, Haisong Liu, Gangshan Wu, Limin Wang:
LinK: Linear Kernel for LiDAR-based 3D Perception. CoRR abs/2303.16094 (2023) - [i35]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) - [i34]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) - [i33]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) - [i32]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. CoRR abs/2304.13596 (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]Bin-Cheng 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]