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Two-Stream Convolutional Networks for Action Recognition in Videos

Two-Stream Convolutional Networks for Action Recognition in Videos

9 June 2014
Karen Simonyan
Andrew Zisserman
ArXivPDFHTML

Papers citing "Two-Stream Convolutional Networks for Action Recognition in Videos"

50 / 2,275 papers shown
Title
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
Learning the semantic structure of objects from Web supervision
Learning the semantic structure of objects from Web supervision
David Novotny
Diane Larlus
Andrea Vedaldi
OCL
11
7
0
05 Jul 2016
VideoMCC: a New Benchmark for Video Comprehension
VideoMCC: a New Benchmark for Video Comprehension
Du Tran
Maksim Bolonkin
Manohar Paluri
Lorenzo Torresani
29
1
0
23 Jun 2016
Towards ontology driven learning of visual concept detectors
Towards ontology driven learning of visual concept detectors
Sanchit Arora
Chuck Cho
P. Fitzpatrick
F. Scharffe
22
2
0
31 May 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
Learning Latent Sub-events in Activity Videos Using Temporal Attention
  Filters
Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters
A. Piergiovanni
Chenyou Fan
Michael S. Ryoo
37
10
0
26 May 2016
Human Action Localization with Sparse Spatial Supervision
Human Action Localization with Sparse Spatial Supervision
Philippe Weinzaepfel
Xavier Martin
Cordelia Schmid
22
47
0
17 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
Learning Action Maps of Large Environments via First-Person Vision
Learning Action Maps of Large Environments via First-Person Vision
Nicholas Rhinehart
Kris Kitani
EgoV
11
46
0
05 May 2016
Improved Dense Trajectory with Cross Streams
Improved Dense Trajectory with Cross Streams
Katsunori Ohnishi
Masatoshi Hidaka
Tatsuya Harada
14
15
0
29 Apr 2016
Deep Learning for Saliency Prediction in Natural Video
Deep Learning for Saliency Prediction in Natural Video
S. Chaabouni
J. Benois-Pineau
Ofer Hadar
C. Ben Amar
15
32
0
27 Apr 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
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
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
Haroon Idrees
Amir Zamir
Yu-Gang Jiang
Alexander N. Gorban
Ivan Laptev
Rahul Sukthankar
M. Shah
43
757
0
21 Apr 2016
Online Human Action Detection using Joint Classification-Regression
  Recurrent Neural Networks
Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks
Yanghao Li
Cuiling Lan
Junliang Xing
Wenjun Zeng
Chunfen Yuan
Jiaying Liu
27
209
0
19 Apr 2016
Long-term Temporal Convolutions for Action Recognition
Long-term Temporal Convolutions for Action Recognition
Gül Varol
Ivan Laptev
Cordelia Schmid
22
909
0
15 Apr 2016
GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring
GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring
Wenjing Ma
Liangliang Cao
Lei-Ping Yu
Guoping Long
Yucheng Li
16
7
0
12 Apr 2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection
  from Videos
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
Kai Kang
Hongsheng Li
Junjie Yan
Xingyu Zeng
Binh Yang
...
Cong Zhang
Zhe Wang
Ruohui Wang
Xiaogang Wang
Wanli Ouyang
ObjD
27
478
0
09 Apr 2016
Hollywood in Homes: Crowdsourcing Data Collection for Activity
  Understanding
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
Gunnar A. Sigurdsson
Gül Varol
Xinyu Wang
Ali Farhadi
Ivan Laptev
Abhinav Gupta
VGen
43
1,224
0
06 Apr 2016
Image Captioning with Deep Bidirectional LSTMs
Image Captioning with Deep Bidirectional LSTMs
Cheng Wang
Haojin Yang
Christian Bartz
Christoph Meinel
VLM
12
278
0
04 Apr 2016
Leaving Some Stones Unturned: Dynamic Feature Prioritization for
  Activity Detection in Streaming Video
Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video
Yu-Chuan Su
Kristen Grauman
24
30
0
01 Apr 2016
The Open World of Micro-Videos
The Open World of Micro-Videos
P. Nguyen
Grégory Rogez
Charless C. Fowlkes
Deva Ramanan
VGen
17
35
0
31 Mar 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
50
2,958
0
30 Mar 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
Recurrent Mixture Density Network for Spatiotemporal Visual Attention
Recurrent Mixture Density Network for Spatiotemporal Visual Attention
Loris Bazzani
Hugo Larochelle
Lorenzo Torresani
26
133
0
27 Mar 2016
Global-Local Face Upsampling Network
Global-Local Face Upsampling Network
Oncel Tuzel
Yuichi Taguchi
J. Hershey
CVBM
SupR
18
35
0
23 Mar 2016
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
Amir Shahroudy
T. Ng
Yihong Gong
G. Wang
31
229
0
23 Mar 2016
Frankenstein: Learning Deep Face Representations using Small Data
Frankenstein: Learning Deep Face Representations using Small Data
Guosheng Hu
Xiaojiang Peng
Yongxin Yang
Timothy M. Hospedales
Jakob Verbeek
CVBM
74
122
0
21 Mar 2016
Modelling Temporal Information Using Discrete Fourier Transform for
  Recognizing Emotions in User-generated Videos
Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos
Haimin Zhang
Min Xu
6
8
0
20 Mar 2016
Modelling Temporal Information Using Discrete Fourier Transform for
  Video Classification
Modelling Temporal Information Using Discrete Fourier Transform for Video Classification
Haimin Zhang
14
1
0
20 Mar 2016
Pushing the Limits of Deep CNNs for Pedestrian Detection
Pushing the Limits of Deep CNNs for Pedestrian Detection
Qichang Hu
Peng Wang
Chunhua Shen
Anton van den Hengel
Fatih Porikli
14
94
0
15 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
DAP3D-Net: Where, What and How Actions Occur in Videos?
DAP3D-Net: Where, What and How Actions Occur in Videos?
Li Liu
Yi Zhou
Ling Shao
14
14
0
10 Feb 2016
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Colin S. Lea
A. Reiter
René Vidal
Gregory Hager
14
268
0
09 Feb 2016
Recognition of Visually Perceived Compositional Human Actions by
  Multiple Spatio-Temporal Scales Recurrent Neural Networks
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks
Haanvid Lee
Minju Jung
Jun Tani
27
20
0
05 Feb 2016
Learning Discriminative Features via Label Consistent Neural Network
Learning Discriminative Features via Label Consistent Neural Network
Zhuolin Jiang
Yaming Wang
L. Davis
Walter Andrews
Viktor Rozgic
SSL
25
26
0
03 Feb 2016
Learning a Deep Model for Human Action Recognition from Novel Viewpoints
Learning a Deep Model for Human Action Recognition from Novel Viewpoints
Hossein Rahmani
Ajmal Mian
M. Shah
21
209
0
02 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
29
25
0
31 Jan 2016
Learning to Extract Motion from Videos in Convolutional Neural Networks
Learning to Extract Motion from Videos in Convolutional Neural Networks
Damien Teney
M. Hebert
16
71
0
27 Jan 2016
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Zheng Shou
Dongang Wang
Shih-Fu Chang
33
39
0
09 Jan 2016
Visually Indicated Sounds
Visually Indicated Sounds
Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
15
382
0
28 Dec 2015
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
25
72
0
22 Dec 2015
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
37
5,146
0
22 Dec 2015
Deep Tracking: Visual Tracking Using Deep Convolutional Networks
Deep Tracking: Visual Tracking Using Deep Convolutional Networks
Meera Hahn
Si Chen
Afshin Dehghan
MDE
11
8
0
13 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
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