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VideoLSTM Convolves, Attends and Flows for Action Recognition

VideoLSTM Convolves, Attends and Flows for Action Recognition

6 July 2016
Zhenyang Li
E. Gavves
Mihir Jain
Cees G. M. Snoek
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Papers citing "VideoLSTM Convolves, Attends and Flows for Action Recognition"

8 / 158 papers shown
Title
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive
  Model
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
Marcella Cornia
Lorenzo Baraldi
G. Serra
Rita Cucchiara
21
548
0
29 Nov 2016
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for
  Human Action Recognition in Videos
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos
Amlan Kar
Nishant Rai
Karan Sikka
Gaurav Sharma
24
152
0
24 Nov 2016
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Basura Fernando
Hakan Bilen
E. Gavves
Stephen Gould
SSL
19
450
0
21 Nov 2016
Deep Learning for Video Classification and Captioning
Deep Learning for Video Classification and Captioning
Zuxuan Wu
Ting Yao
Yanwei Fu
Yu-Gang Jiang
3DV
VLM
11
122
0
22 Sep 2016
Making a Case for Learning Motion Representations with Phase
Making a Case for Learning Motion Representations with Phase
S. Pintea
J. C. V. Gemert
21
11
0
06 Sep 2016
Discriminatively Trained Latent Ordinal Model for Video Classification
Discriminatively Trained Latent Ordinal Model for Video Classification
Karan Sikka
Gaurav Sharma
19
11
0
08 Aug 2016
RATM: Recurrent Attentive Tracking Model
RATM: Recurrent Attentive Tracking Model
Samira Ebrahimi Kahou
Vincent Michalski
Roland Memisevic
24
84
0
29 Oct 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
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