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Towards Good Practices for Very Deep Two-Stream ConvNets

Towards Good Practices for Very Deep Two-Stream ConvNets

8 July 2015
Limin Wang
Yuanjun Xiong
Zhe Wang
Yu Qiao
ArXivPDFHTML

Papers citing "Towards Good Practices for Very Deep Two-Stream ConvNets"

24 / 74 papers shown
Title
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for
  Activity Recognition
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition
Chih-Yao Ma
Min-Hung Chen
Z. Kira
G. Al-Regib
AI4TS
32
241
0
30 Mar 2017
Learning Spatial Regularization with Image-level Supervisions for
  Multi-label Image Classification
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
Feng Zhu
Hongsheng Li
Wanli Ouyang
Nenghai Yu
Xiaogang Wang
30
337
0
20 Feb 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Zelun Luo
Boya Peng
De-An Huang
Alexandre Alahi
Li Fei-Fei
SSL
32
193
0
07 Jan 2017
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
32
152
0
24 Nov 2016
Learning long-term dependencies for action recognition with a
  biologically-inspired deep network
Learning long-term dependencies for action recognition with a biologically-inspired deep network
Yemin Shi
Yonghong Tian
Yaowei Wang
Tiejun Huang
29
63
0
16 Nov 2016
Weakly supervised learning of actions from transcripts
Weakly supervised learning of actions from transcripts
Hilde Kuehne
Alexander Richard
Juergen Gall
25
117
0
07 Oct 2016
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for
  Multimodal Information Fusion
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion
Ankit Gandhi
Arjun Sharma
Arijit Biswas
Om Deshmukh
AI4TS
21
12
0
17 Sep 2016
Sequential Deep Trajectory Descriptor for Action Recognition with
  Three-stream CNN
Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN
Yemin Shi
Yonghong Tian
Yaowei Wang
Tiejun Huang
27
191
0
10 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
103
1,462
0
08 Sep 2016
Efficient Two-Stream Motion and Appearance 3D CNNs for Video
  Classification
Efficient Two-Stream Motion and Appearance 3D CNNs for Video Classification
Ali Diba
A. Pazandeh
Luc Van Gool
32
75
0
31 Aug 2016
Motion Representation with Acceleration Images
Motion Representation with Acceleration Images
Hirokatsu Kataoka
Yun He
Soma Shirakabe
Y. Satoh
12
5
0
30 Aug 2016
Human Action Recognition without Human
Human Action Recognition without Human
Yun He
Soma Shirakabe
Y. Satoh
Hirokatsu Kataoka
29
42
0
29 Aug 2016
Depth2Action: Exploring Embedded Depth for Large-Scale Action
  Recognition
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition
Yi Zhu
Shawn D. Newsam
19
41
0
15 Aug 2016
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
Yuanjun Xiong
Limin Wang
Zhe Wang
Bowen Zhang
Hang Song
Wei Li
Dahua Lin
Yu Qiao
Luc Van Gool
Xiaoou Tang
38
146
0
02 Aug 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
36
610
0
16 May 2016
Real-time Action Recognition with Enhanced Motion Vector CNNs
Real-time Action Recognition with Enhanced Motion Vector CNNs
Bowen Zhang
Limin Wang
Zhe Wang
Yu Qiao
Hanli Wang
25
417
0
26 Apr 2016
Actionness Estimation Using Hybrid Fully Convolutional Networks
Actionness Estimation Using Hybrid Fully Convolutional Networks
Limin Wang
Yu Qiao
Xiaoou Tang
Luc Van Gool
16
98
0
25 Apr 2016
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
60
2,605
0
22 Apr 2016
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep
  Convolutional Neural Networks
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
Junyuan Xie
Ross B. Girshick
Ali Farhadi
3DH
42
426
0
13 Apr 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order
  Verification
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification
Ishan Misra
C. L. Zitnick
M. Hebert
SSL
28
66
0
28 Mar 2016
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
L. Yao
C. Pal
Aaron Courville
MDE
37
692
0
19 Nov 2015
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition
Shichao Zhao
Yanbin Liu
Yahong Han
Richang Hong
FAtt
29
64
0
06 Nov 2015
Better Exploiting OS-CNNs for Better Event Recognition in Images
Better Exploiting OS-CNNs for Better Event Recognition in Images
Limin Wang
Zhe Wang
Sheng Guo
Yu Qiao
22
24
0
14 Oct 2015
Places205-VGGNet Models for Scene Recognition
Places205-VGGNet Models for Scene Recognition
Limin Wang
Sheng Guo
Weilin Huang
Yu Qiao
16
152
0
07 Aug 2015
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