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Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors

Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors

19 May 2015
Limin Wang
Yu Qiao
Xiaoou Tang
ArXivPDFHTML

Papers citing "Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors"

43 / 143 papers shown
Title
Temporal scale selection in time-causal scale space
Temporal scale selection in time-causal scale space
T. Lindeberg
23
12
0
09 Jan 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
Asynchronous Temporal Fields for Action Recognition
Asynchronous Temporal Fields for Action Recognition
Gunnar A. Sigurdsson
S. Divvala
Ali Farhadi
Abhinav Gupta
BDL
24
170
0
19 Dec 2016
Action Recognition with Dynamic Image Networks
Action Recognition with Dynamic Image Networks
Hakan Bilen
Basura Fernando
Efstratios Gavves
Andrea Vedaldi
FAtt
29
222
0
02 Dec 2016
Deep Quantization: Encoding Convolutional Activations with Deep
  Generative Model
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
Zhaofan Qiu
Ting Yao
Tao Mei
DRL
MQ
34
59
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
32
152
0
24 Nov 2016
Deep Temporal Linear Encoding Networks
Deep Temporal Linear Encoding Networks
Ali Diba
Vivek Sharma
Luc Van Gool
21
227
0
21 Nov 2016
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
58
1,470
0
16 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
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
68
716
0
07 Nov 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
Making a Case for Learning Motion Representations with Phase
Making a Case for Learning Motion Representations with Phase
S. Pintea
Jan van Gemert
26
11
0
06 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
16
5
0
30 Aug 2016
Temporal Convolutional Networks: A Unified Approach to Action
  Segmentation
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
Colin S. Lea
René Vidal
A. Reiter
Gregory Hager
36
741
0
29 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
Sympathy for the Details: Dense Trajectories and Hybrid Classification
  Architectures for Action Recognition
Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
César Roberto de Souza
Adrien Gaidon
E. Vig
A. Peña
27
44
0
25 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
27
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
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration
Aarti Sathyanarayana
Chenyu You
L. Fernández-Luque
Ferda Ofli
Jaideep Srivastava
A. Elmagarmid
S. Taheri
T. Arora
24
200
0
24 Jul 2016
Hierarchical Attention Network for Action Recognition in Videos
Hierarchical Attention Network for Action Recognition in Videos
Yilin Wang
Suhang Wang
Jiliang Tang
Neil O'Hare
Yi-Ju Chang
Baoxin Li
BDL
30
82
0
21 Jul 2016
Tubelets: Unsupervised action proposals from spatiotemporal super-voxels
Tubelets: Unsupervised action proposals from spatiotemporal super-voxels
Mihir Jain
Jan van Gemert
Hervé Jégou
P. Bouthemy
Cees G. M. Snoek
ViT
24
24
0
07 Jul 2016
VideoLSTM Convolves, Attends and Flows for Action Recognition
VideoLSTM Convolves, Attends and Flows for Action Recognition
Zhenyang Li
E. Gavves
Mihir Jain
Cees G. M. Snoek
50
463
0
06 Jul 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 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
Going Deeper into First-Person Activity Recognition
Going Deeper into First-Person Activity Recognition
Minghuang Ma
Haoqi Fan
Kris Kitani
EgoV
31
307
0
12 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
35
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
18
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
66
2,605
0
22 Apr 2016
Improving Human Action Recognition by Non-action Classification
Improving Human Action Recognition by Non-action Classification
Yunhong Wang
Minh Hoai
15
26
0
21 Apr 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
50
1,090
0
15 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
Automatic learning of gait signatures for people identification
Automatic learning of gait signatures for people identification
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
N. P. D. L. Blanca
CVBM
22
96
0
03 Mar 2016
Large age-gap face verification by feature injection in deep networks
Large age-gap face verification by feature injection in deep networks
Simone Bianco
CVBM
27
86
0
19 Feb 2016
Order-aware Convolutional Pooling for Video Based Action Recognition
Order-aware Convolutional Pooling for Video Based Action Recognition
Peng Wang
Lingqiao Liu
Chunhua Shen
Heng Tao Shen
31
25
0
31 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing
  Action Images from the Web
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web
Shugao Ma
Sarah Adel Bargal
Jianming Zhang
Leonid Sigal
Stan Sclaroff
28
72
0
22 Dec 2015
Action Recognition with Image Based CNN Features
Action Recognition with Image Based CNN Features
Mahdyar Ravanbakhsh
Hossein Mousavi
Mohammad Rastegari
Vittorio Murino
L. Davis
31
63
0
13 Dec 2015
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
30
24
0
14 Oct 2015
Object-Scene Convolutional Neural Networks for Event Recognition in
  Images
Object-Scene Convolutional Neural Networks for Event Recognition in Images
Limin Wang
Zhe Wang
Wenbin Du
Yu Qiao
34
66
0
02 May 2015
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