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Representation Flow for Action Recognition

Representation Flow for Action Recognition

2 October 2018
A. Piergiovanni
Michael S. Ryoo
ArXivPDFHTML

Papers citing "Representation Flow for Action Recognition"

21 / 71 papers shown
Title
AssembleNet++: Assembling Modality Representations via Attention
  Connections
AssembleNet++: Assembling Modality Representations via Attention Connections
Michael S. Ryoo
A. Piergiovanni
Juhana Kangaspunta
A. Angelova
8
44
0
18 Aug 2020
Exploring Relations in Untrimmed Videos for Self-Supervised Learning
Exploring Relations in Untrimmed Videos for Self-Supervised Learning
Dezhao Luo
Bo Fang
Yu Zhou
Yucan Zhou
Dayan Wu
Weiping Wang
14
21
0
06 Aug 2020
Late Temporal Modeling in 3D CNN Architectures with BERT for Action
  Recognition
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition
M. E. Kalfaoglu
Sinan Kalkan
Aydin Alatan
3DPC
28
140
0
03 Aug 2020
Hierarchical Contrastive Motion Learning for Video Action Recognition
Hierarchical Contrastive Motion Learning for Video Action Recognition
Xitong Yang
Xiaodong Yang
Sifei Liu
Deqing Sun
L. Davis
Jan Kautz
SSL
18
13
0
20 Jul 2020
MotionSqueeze: Neural Motion Feature Learning for Video Understanding
MotionSqueeze: Neural Motion Feature Learning for Video Understanding
Heeseung Kwon
Manjin Kim
Suha Kwak
Minsu Cho
FAtt
20
128
0
20 Jul 2020
AViD Dataset: Anonymized Videos from Diverse Countries
AViD Dataset: Anonymized Videos from Diverse Countries
A. Piergiovanni
Michael S. Ryoo
25
35
0
10 Jul 2020
Exploiting Inter-Frame Regional Correlation for Efficient Action
  Recognition
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition
Yuecong Xu
Jianfei Yang
K. Mao
Jianxiong Yin
Simon See
6
11
0
06 May 2020
X3D: Expanding Architectures for Efficient Video Recognition
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
66
998
0
09 Apr 2020
V4D:4D Convolutional Neural Networks for Video-level Representation
  Learning
V4D:4D Convolutional Neural Networks for Video-level Representation Learning
Shiwen Zhang
Sheng Guo
Weilin Huang
Matthew R. Scott
Limin Wang
11
70
0
18 Feb 2020
DMCL: Distillation Multiple Choice Learning for Multimodal Action
  Recognition
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
Nuno C. Garcia
Sarah Adel Bargal
Vitaly Ablavsky
Pietro Morerio
Vittorio Murino
Stan Sclaroff
19
48
0
23 Dec 2019
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and
  Action Recognition in Ping Pong
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong
S. Schwarcz
Peng-Tao Xu
Davide D‘Ambrosio
Juhana Kangaspunta
A. Angelova
Huong Phan
Navdeep Jaitly
11
7
0
13 Dec 2019
Flow-Distilled IP Two-Stream Networks for Compressed Video Action
  Recognition
Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition
Shiyuan Huang
Xudong Lin
Svebor Karaman
Shih-Fu Chang
14
10
0
10 Dec 2019
Gate-Shift Networks for Video Action Recognition
Gate-Shift Networks for Video Action Recognition
Swathikiran Sudhakaran
Sergio Escalera
O. Lanz
3DPC
6
155
0
01 Dec 2019
Learning Efficient Video Representation with Video Shuffle Networks
Learning Efficient Video Representation with Video Shuffle Networks
Pingchuan Ma
Yao Zhou
Yu Lu
Wayne Zhang
19
7
0
26 Nov 2019
Tiny Video Networks
Tiny Video Networks
A. Piergiovanni
A. Angelova
Michael S. Ryoo
20
46
0
15 Oct 2019
Video Modeling with Correlation Networks
Video Modeling with Correlation Networks
Heng Wang
Du Tran
Lorenzo Torresani
Matt Feiszli
22
127
0
07 Jun 2019
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video
  Architectures
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures
Michael S. Ryoo
A. Piergiovanni
Mingxing Tan
A. Angelova
16
102
0
30 May 2019
Lightweight Network Architecture for Real-Time Action Recognition
Lightweight Network Architecture for Real-Time Action Recognition
Alexander Kozlov
Vadim Andronov
Y. Gritsenko
ViT
22
33
0
21 May 2019
Early Detection of Injuries in MLB Pitchers from Video
Early Detection of Injuries in MLB Pitchers from Video
A. Piergiovanni
Michael S. Ryoo
MedIm
14
11
0
18 Apr 2019
D3D: Distilled 3D Networks for Video Action Recognition
D3D: Distilled 3D Networks for Video Action Recognition
Jonathan C. Stroud
David A. Ross
Chen Sun
Jia Deng
Rahul Sukthankar
3DPC
22
158
0
19 Dec 2018
Learning Representative Temporal Features for Action Recognition
Learning Representative Temporal Features for Action Recognition
Ali Javidani
Ahmad Mahmoudi-Aznaveh
21
10
0
19 Feb 2018
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