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1611.02155
Cited By
Spatiotemporal Residual Networks for Video Action Recognition
7 November 2016
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
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Papers citing
"Spatiotemporal Residual Networks for Video Action Recognition"
50 / 273 papers shown
Title
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Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization
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Human Action Recognition and Prediction: A Survey
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Modeling Spatio-Temporal Human Track Structure for Action Localization
Guilhem Chéron
A. Osokin
Ivan Laptev
Cordelia Schmid
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Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition
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Fu Li
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27 Jun 2018
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps
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Piotr Koniusz
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Spatio-Temporal Channel Correlation Networks for Action Classification
Ali Diba
Mohsen Fayyaz
Vivek Sharma
M. M. Arzani
Rahman Yousefzadeh
Juergen Gall
Luc Van Gool
3DPC
26
181
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19 Jun 2018
Modality Distillation with Multiple Stream Networks for Action Recognition
Nuno C. Garcia
Pietro Morerio
Vittorio Murino
30
181
0
19 Jun 2018
Qiniu Submission to ActivityNet Challenge 2018
Xiaoteng Zhang
Yixin Bao
Feiyun Zhang
Kaiqin Hu
Yicheng Wang
Liang Zhu
Qinzhu He
Yining Lin
Jie Shao
Yao Peng
3DPC
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0
12 Jun 2018
Videos as Space-Time Region Graphs
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Abhinav Gupta
36
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0
05 Jun 2018
Dilated Temporal Relational Adversarial Network for Generic Video Summarization
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Michael C. Kampffmeyer
Xiaodan Liang
Dingwen Zhang
Min Tan
Eric Xing
ViT
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Deep Keyframe Detection in Human Action Videos
X. Yan
Syed Zulqarnain Gilani
Hanlin Qin
Mingtao Feng
Li Zhang
Ajmal Mian
22
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Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition
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Neslihan Köse
Gerhard Rigoll
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Mutual Suppression Network for Video Prediction using Disentangled Features
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Jangho Lee
Sungmin Lee
Sungroh Yoon
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End-to-End Learning of Motion Representation for Video Understanding
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Wen-bing Huang
Chuang Gan
Stefano Ermon
Boqing Gong
Junzhou Huang
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Non-Linear Temporal Subspace Representations for Activity Recognition
A. Cherian
S. Sra
Stephen Gould
Richard I. Hartley
21
44
0
27 Mar 2018
Video Representation Learning Using Discriminative Pooling
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A. Cherian
Fatih Porikli
Stephen Gould
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What Do We Understand About Convolutional Networks?
Isma Hadji
Richard P. Wildes
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24
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Fast Semantic Segmentation on Video Using Block Motion-Based Feature Interpolation
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Joseph E. Gonzalez
26
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Learning Representative Temporal Features for Action Recognition
Ali Javidani
Ahmad Mahmoudi-Aznaveh
28
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0
19 Feb 2018
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition
Gerard Pons
David Masip
CVBM
26
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0
19 Feb 2018
What have we learned from deep representations for action recognition?
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
Andrew Zisserman
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28
47
0
04 Jan 2018
Detect-and-Track: Efficient Pose Estimation in Videos
Rohit Girdhar
Georgia Gkioxari
Lorenzo Torresani
Manohar Paluri
Du Tran
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32
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0
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On the Integration of Optical Flow and Action Recognition
Laura Sevilla-Lara
Yiyi Liao
Fatma Guney
Varun Jampani
Andreas Geiger
Michael J. Black
24
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22 Dec 2017
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
P. Nguyen
Ting Liu
Gautam Prasad
Bohyung Han
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347
0
14 Dec 2017
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie
Chen Sun
Jonathan Huang
Zhuowen Tu
Kevin Patrick Murphy
3DH
52
1,309
0
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Compressed Video Action Recognition
Chao-Yuan Wu
Manzil Zaheer
Hexiang Hu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
31
325
0
02 Dec 2017
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran
Heng Wang
Lorenzo Torresani
Jamie Ray
Yann LeCun
Manohar Paluri
66
2,990
0
30 Nov 2017
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
Shuyang Sun
Zhanghui Kuang
Wanli Ouyang
Lu Sheng
Wayne Zhang
40
292
0
29 Nov 2017
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
Zhaofan Qiu
Ting Yao
Tao Mei
11
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28 Nov 2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
3DPC
36
1,910
0
27 Nov 2017
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
Xiang Long
Chuang Gan
Gerard de Melo
Jiajun Wu
Xiao-Chang Liu
Shilei Wen
34
208
0
27 Nov 2017
An Introduction to Deep Visual Explanation
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Randy Goebel
FAtt
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40
19
0
26 Nov 2017
Appearance-and-Relation Networks for Video Classification
Limin Wang
Wei Li
Wen Li
Luc Van Gool
21
350
0
24 Nov 2017
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
Ali Diba
Mohsen Fayyaz
Vivek Sharma
A. Karami
M. M. Arzani
Rahman Yousefzadeh
Luc Van Gool
20
241
0
22 Nov 2017
Non-local Neural Networks
Xueliang Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
58
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21 Nov 2017
Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion
Weiyao Lin
Yang Mi
Jianxin Wu
K. Lu
H. Xiong
27
37
0
20 Nov 2017
A Correlation Based Feature Representation for First-Person Activity Recognition
R. Kahani
Alireza Talebpour
Ahmad Mahmoudi-Aznaveh
16
12
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End-to-end Video-level Representation Learning for Action Recognition
Jiagang Zhu
Wei Zou
Zheng Zhu
25
89
0
11 Nov 2017
Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification
Yuxin Peng
Yunzhen Zhao
Junchao Zhang
32
115
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Attentional Pooling for Action Recognition
Rohit Girdhar
Deva Ramanan
24
319
0
04 Nov 2017
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
Pichao Wang
W. Li
P. Ogunbona
Jun Wan
Sergio Escalera
3DH
39
351
0
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Detect to Track and Track to Detect
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
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560
0
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Summarization of User-Generated Sports Video by Using Deep Action Recognition Features
Antonio Tejero-de-Pablos
Yuta Nakashima
Tomokazu Sato
N. Yokoya
Marko Linna
Esa Rahtu
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31
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0
25 Sep 2017
Human Action Forecasting by Learning Task Grammars
Tengda Han
Jue Wang
A. Cherian
Stephen Gould
13
17
0
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Learning Gating ConvNet for Two-Stream based Methods in Action Recognition
Jiagang Zhu
Wei Zou
Zheng Zhu
13
5
0
12 Sep 2017
Two-stream Flow-guided Convolutional Attention Networks for Action Recognition
An Tran
L. Cheong
22
53
0
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Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
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597
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Eigen Evolution Pooling for Human Action Recognition
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Vinh Tran
Minh Hoai
14
6
0
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