CVPR 2019 Oral Session 1-1C: Action & Video

Описание к видео CVPR 2019 Oral Session 1-1C: Action & Video

0:00 Video Action Transformer Network Rohit Girdhar (Carnegie Mellon University)*; Joao Carreira (DeepMind); Carl Doersch (DeepMind); Andrew Zisserman (University of Oxford)

5:30 Timeception for Complex Action Recognition Noureldien Hussein (University of Amsterdam)*; Stratis Gavves (University of Amsterdam); Arnold W.M. Smeulders (University of Amsterdam)

10:09 STEP: Spatio-Temporal Progressive Learning for Video Action Detection Xitong Yang (University of Maryland)*; Xiaodong Yang (NVIDIA Research); Ming-Yu Liu (NVIDIA); Fanyi Xiao (University of California Davis); Larry Davis (University of Maryland); Jan Kautz (NVIDIA)

18:25 Relational Action Forecasting Chen Sun (Google)*; Abhinav Shrivastava (University of Maryland); Carl Vondrick (Columbia University); Rahul Sukthankar (Google); Kevin Murphy (Google); Cordelia Schmid (Google)

23:28 Long-Term Feature Banks for Detailed Video Understanding Chao-Yuan Wu (UT Austin)*; Christoph Feichtenhofer (Facebook AI Research); Haoqi Fan (Facebook AI Research); Kaiming He (Facebook AI Research); Philipp Kraehenbuehl (UT Austin); Ross Girshick (FAIR)

28:32 Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes Yuke Li (York University)*

36:39 What and How Well You Performed? A Multitask Approach To Action Quality Assessment Paritosh Parmar (UNLV)*; Brendan Morris (UNLV)

41:40 MHP-VOS: Video Object Segmentation with Multiple Hypotheses Propagation Shuangjie Xu (Huazhong University of Science and Technology); Daizong Liu (Huazhong University of Science and Technology); Linchao Bao (Tencent AI Lab)*; Wei Liu (Tencent); Pan Zhou ( Huazhong University of Science and Technology)

46:45 2.5D Visual Sound Ruohan Gao (University of Texas at Austin)*; Kristen Grauman (Facebook AI Research & UT Austin)

54:43 Language-driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model Weining Wang (Institute of Automation, Chinese Academy of Sciences)*; Yan Huang (Institute of Automation, Chinese Academy of Sciences); Liang Wang (NLPR, China)

59:44 Gaussian Temporal Awareness Networks for Action Localization Fuchen Long (University of Science and Technology of China); Ting Yao (JD AI Research)*; Zhaofan Qiu (University of Science and Technology of China); Xinmei Tian (USTC); Jiebo Luo (U. Rochester); Tao Mei (AI Research of JD.com)

1:04:50 Efficient Video Classification Using Fewer Frames Shweta Bhardwaj (Indian Institute of Technology Madras, Chennai)*; Mukundhan Srinivasan (NVIDIA); Mitesh M. Khapra (Indian Institute of Technology Madras)

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