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Motion Feature Network: Fixed Motion Filter for Action Recognition
v1v2 (latest)

Motion Feature Network: Fixed Motion Filter for Action Recognition

26 July 2018
Myunggi Lee
Seungeui Lee
S. Son
Gyutae Park
Nojun Kwak
ArXiv (abs)PDFHTML

Papers citing "Motion Feature Network: Fixed Motion Filter for Action Recognition"

20 / 70 papers shown
Title
DMCL: Distillation Multiple Choice Learning for Multimodal Action
  Recognition
DMCL: Distillation Multiple Choice Learning for Multimodal Action RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Nuno C. Garcia
Sarah Adel Bargal
Vitaly Ablavsky
Pietro Morerio
Vittorio Murino
Stan Sclaroff
113
53
0
23 Dec 2019
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
Paritosh Parmar
B. Morris
3DPC
160
10
0
10 Dec 2019
A Multigrid Method for Efficiently Training Video Models
A Multigrid Method for Efficiently Training Video ModelsComputer Vision and Pattern Recognition (CVPR), 2019
Chaoxia Wu
Ross B. Girshick
Kaiming He
Christoph Feichtenhofer
Philipp Krahenbuhl
223
99
0
02 Dec 2019
Gate-Shift Networks for Video Action Recognition
Gate-Shift Networks for Video Action RecognitionComputer Vision and Pattern Recognition (CVPR), 2019
Swathikiran Sudhakaran
Sergio Escalera
Oswald Lanz
3DPC
226
169
0
01 Dec 2019
4-Connected Shift Residual Networks
4-Connected Shift Residual Networks
Andrew Brown
Pascal Mettes
Marcel Worring
3DPC
105
9
0
22 Oct 2019
Tiny Video Networks
Tiny Video NetworksApplied AI Letters (AA), 2019
A. Piergiovanni
A. Angelova
Michael S. Ryoo
291
49
0
15 Oct 2019
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition
Grouped Spatial-Temporal Aggregation for Efficient Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2019
Chenxu Luo
Alan Yuille
250
168
0
28 Sep 2019
Exploring Temporal Differences in 3D Convolutional Neural Networks
Exploring Temporal Differences in 3D Convolutional Neural NetworksCommunications in Computer and Information Science (CCIS), 2019
Gagan Kanojia
Sudhakar Kumawat
Shanmuganathan Raman
3DPCAI4TS
89
3
0
07 Sep 2019
Temporal Reasoning Graph for Activity Recognition
Temporal Reasoning Graph for Activity RecognitionIEEE Transactions on Image Processing (TIP), 2019
Jingran Zhang
Fumin Shen
Xing Xu
Heng Tao Shen
128
67
0
27 Aug 2019
STM: SpatioTemporal and Motion Encoding for Action Recognition
STM: SpatioTemporal and Motion Encoding for Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2019
Boyuan Jiang
Mengmeng Wang
Weihao Gan
Wei Wu
Junjie Yan
356
430
0
07 Aug 2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective
  Untrimmed Video Recognition
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video RecognitionIEEE International Conference on Computer Vision (ICCV), 2019
Wenhao Wu
Dongliang He
Xiao Tan
Shifeng Chen
Shilei Wen
145
133
0
31 Jul 2019
Video Modeling with Correlation Networks
Video Modeling with Correlation NetworksComputer Vision and Pattern Recognition (CVPR), 2019
Heng Wang
Du Tran
Lorenzo Torresani
Matt Feiszli
364
142
0
07 Jun 2019
Hierarchical Feature Aggregation Networks for Video Action Recognition
Hierarchical Feature Aggregation Networks for Video Action Recognition
Swathikiran Sudhakaran
Sergio Escalera
Oswald Lanz
FAtt
104
8
0
29 May 2019
Learning Video Representations from Correspondence Proposals
Learning Video Representations from Correspondence ProposalsComputer Vision and Pattern Recognition (CVPR), 2019
Xingyu Liu
Joon-Young Lee
Hailin Jin
150
70
0
20 May 2019
Recurrent Space-time Graph Neural Networks
Recurrent Space-time Graph Neural Networks
Andrei Liviu Nicolicioiu
Iulia Duta
Marius Leordeanu
GNN
275
47
0
11 Apr 2019
Video Classification with Channel-Separated Convolutional Networks
Video Classification with Channel-Separated Convolutional Networks
Du Tran
Heng Wang
Lorenzo Torresani
Matt Feiszli
3DV
350
630
0
04 Apr 2019
D3D: Distilled 3D Networks for Video Action Recognition
D3D: Distilled 3D Networks for Video Action Recognition
Jonathan C. Stroud
David A. Ross
Chen Sun
Gaowen Liu
Rahul Sukthankar
3DPC
163
177
0
19 Dec 2018
Dynamic Graph Modules for Modeling Object-Object Interactions in
  Activity Recognition
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition
Hao Huang
Luowei Zhou
Wei Zhang
Jason J. Corso
Chenliang Xu
91
3
0
13 Dec 2018
TSM: Temporal Shift Module for Efficient Video Understanding
TSM: Temporal Shift Module for Efficient Video UnderstandingIEEE International Conference on Computer Vision (ICCV), 2018
Ji Lin
Chuang Gan
Song Han
531
1,899
0
20 Nov 2018
Representation Flow for Action Recognition
Representation Flow for Action Recognition
A. Piergiovanni
Michael S. Ryoo
225
156
0
02 Oct 2018
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