ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.02811
  4. Cited By
Video Classification with Channel-Separated Convolutional Networks
v1v2v3v4 (latest)

Video Classification with Channel-Separated Convolutional Networks

4 April 2019
Du Tran
Heng Wang
Lorenzo Torresani
Matt Feiszli
    3DV
ArXiv (abs)PDFHTML

Papers citing "Video Classification with Channel-Separated Convolutional Networks"

27 / 327 papers shown
Title
Adaptive Interaction Modeling via Graph Operations Search
Adaptive Interaction Modeling via Graph Operations Search
Haoxin Li
Weishi Zheng
Yu Tao
Haifeng Hu
Jianhuang Lai
63
5
0
05 May 2020
X3D: Expanding Architectures for Efficient Video Recognition
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
154
1,026
0
09 Apr 2020
Temporal Pyramid Network for Action Recognition
Temporal Pyramid Network for Action Recognition
Ceyuan Yang
Yinghao Xu
Jianping Shi
Bo Dai
Bolei Zhou
57
374
0
07 Apr 2020
TEA: Temporal Excitation and Aggregation for Action Recognition
TEA: Temporal Excitation and Aggregation for Action Recognition
Yan-Ran Li
Bin Ji
Xintian Shi
Jianguo Zhang
Bin Kang
Limin Wang
ViT
102
449
0
03 Apr 2020
Knowing What, Where and When to Look: Efficient Video Action Modeling
  with Attention
Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention
Juan-Manuel Perez-Rua
Brais Martínez
Xiatian Zhu
Antoine Toisoul
Victor Escorcia
Tao Xiang
129
19
0
02 Apr 2020
SCT: Set Constrained Temporal Transformer for Set Supervised Action
  Segmentation
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
Mohsen Fayyaz
Juergen Gall
ViT
75
70
0
31 Mar 2020
Omni-sourced Webly-supervised Learning for Video Recognition
Omni-sourced Webly-supervised Learning for Video Recognition
Haodong Duan
Yue Zhao
Yuanjun Xiong
Wentao Liu
Dahua Lin
VLM
99
88
0
29 Mar 2020
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
Qihang Yu
Yingwei Li
Jieru Mei
Yuyin Zhou
Alan Yuille
3DPC
66
3
0
28 Mar 2020
STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
Xu Li
Jingwen Wang
Lin Ma
Kaihao Zhang
Fengzong Lian
Zhanhui Kang
Jinjun Wang
34
5
0
18 Mar 2020
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving
  Based on Bird's Eye View Maps
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
Pengxiang Wu
Siheng Chen
Dimitris N. Metaxas
3DPC
85
160
0
15 Mar 2020
CTM: Collaborative Temporal Modeling for Action Recognition
CTM: Collaborative Temporal Modeling for Action Recognition
Li-Yu Daisy Liu
Tao Wang
Jie Liu
Yang Guan
Qi Bu
Longfei Yang
TTA
19
0
0
08 Feb 2020
Learning Class Regularized Features for Action Recognition
Learning Class Regularized Features for Action Recognition
Alexandros Stergiou
R. Poppe
R. Veltkamp
14
3
0
07 Feb 2020
Audiovisual SlowFast Networks for Video Recognition
Audiovisual SlowFast Networks for Video Recognition
Fanyi Xiao
Yong Jae Lee
Kristen Grauman
Jitendra Malik
Christoph Feichtenhofer
278
209
0
23 Jan 2020
Rethinking Motion Representation: Residual Frames with 3D ConvNets for
  Better Action Recognition
Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition
Li Tao
Xueting Wang
T. Yamasaki
3DPC
63
24
0
16 Jan 2020
Spatial-Spectral Residual Network for Hyperspectral Image
  Super-Resolution
Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
Qi. Wang
Qiang Li
Xuelong Li
SupR
61
29
0
14 Jan 2020
Flow-Distilled IP Two-Stream Networks for Compressed Video Action
  Recognition
Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition
Shiyuan Huang
Xudong Lin
Svebor Karaman
Shih-Fu Chang
34
10
0
10 Dec 2019
VideoDG: Generalizing Temporal Relations in Videos to Novel Domains
VideoDG: Generalizing Temporal Relations in Videos to Novel Domains
Zhiyu Yao
Yunbo Wang
Jianmin Wang
Philip S. Yu
Mingsheng Long
OODViT
73
26
0
08 Dec 2019
A Multigrid Method for Efficiently Training Video Models
A Multigrid Method for Efficiently Training Video Models
Chaoxia Wu
Ross B. Girshick
Kaiming He
Christoph Feichtenhofer
Philipp Krahenbuhl
91
94
0
02 Dec 2019
Gate-Shift Networks for Video Action Recognition
Gate-Shift Networks for Video Action Recognition
Swathikiran Sudhakaran
Sergio Escalera
Oswald Lanz
3DPC
95
155
0
01 Dec 2019
Forecasting Human-Object Interaction: Joint Prediction of Motor
  Attention and Actions in First Person Video
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video
Miao Liu
Siyu Tang
Yin Li
James M. Rehg
EgoV
74
21
0
25 Nov 2019
Vatex Video Captioning Challenge 2020: Multi-View Features and Hybrid
  Reward Strategies for Video Captioning
Vatex Video Captioning Challenge 2020: Multi-View Features and Hybrid Reward Strategies for Video Captioning
Xinxin Zhu
A. Gorban
V. A. Makarov
Shichen Lu
I. Tyukin
Hanqing Lu
35
2
0
17 Oct 2019
Integrating Temporal and Spatial Attentions for VATEX Video Captioning
  Challenge 2019
Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019
Shizhe Chen
Yida Zhao
Yuqing Song
Qin Jin
Qi Wu
22
0
0
15 Oct 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
406
283
0
07 Oct 2019
Class Feature Pyramids for Video Explanation
Class Feature Pyramids for Video Explanation
Alexandros Stergiou
G. Kapidis
Grigorios Kalliatakis
C. Chrysoulas
R. Poppe
R. Veltkamp
FAtt
54
19
0
18 Sep 2019
Video Modeling with Correlation Networks
Video Modeling with Correlation Networks
Heng Wang
Du Tran
Lorenzo Torresani
Matt Feiszli
96
129
0
07 Jun 2019
What Makes Training Multi-Modal Classification Networks Hard?
What Makes Training Multi-Modal Classification Networks Hard?
Weiyao Wang
Du Tran
Matt Feiszli
166
453
0
29 May 2019
SCSampler: Sampling Salient Clips from Video for Efficient Action
  Recognition
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition
Bruno Korbar
Du Tran
Lorenzo Torresani
77
225
0
08 Apr 2019
Previous
1234567