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DynamoNet: Dynamic Action and Motion Network

DynamoNet: Dynamic Action and Motion Network

25 April 2019
Ali Diba
Vivek Sharma
Luc Van Gool
Rainer Stiefelhagen
ArXivPDFHTML

Papers citing "DynamoNet: Dynamic Action and Motion Network"

17 / 17 papers shown
Title
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Jie M. Zhang
Zhifan Wan
Lanqing Hu
Stephen Lin
Shuzhe Wu
Shiguang Shan
TTA
56
1
0
15 Jan 2024
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
...
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
18
42
0
01 Jul 2022
Recurrent Transformer Variational Autoencoders for Multi-Action Motion
  Synthesis
Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis
Rania Briq
Chuhang Zou
L. Pishchulin
Christopher Broaddus
Juergen Gall
16
1
0
14 Jun 2022
Context-Aware Sequence Alignment using 4D Skeletal Augmentation
Context-Aware Sequence Alignment using 4D Skeletal Augmentation
Taein Kwon
Bugra Tekin
Siyu Tang
Marc Pollefeys
23
13
0
26 Apr 2022
Hierarchical Self-supervised Representation Learning for Movie
  Understanding
Hierarchical Self-supervised Representation Learning for Movie Understanding
Fanyi Xiao
Kaustav Kundu
Joseph Tighe
Davide Modolo
SSL
37
24
0
06 Apr 2022
Motion-Focused Contrastive Learning of Video Representations
Motion-Focused Contrastive Learning of Video Representations
Rui Li
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Dong Liu
Tao Mei
SSL
16
34
0
11 Jan 2022
Exploring Temporal Granularity in Self-Supervised Video Representation
  Learning
Exploring Temporal Granularity in Self-Supervised Video Representation Learning
Rui Qian
Yeqing Li
Liangzhe Yuan
Boqing Gong
Ting Liu
Matthew A. Brown
Serge J. Belongie
Ming-Hsuan Yang
Hartwig Adam
Yin Cui
AI4TS
41
6
0
08 Dec 2021
Time-Equivariant Contrastive Video Representation Learning
Time-Equivariant Contrastive Video Representation Learning
Simon Jenni
Hailin Jin
SSL
AI4TS
135
60
0
07 Dec 2021
Self-supervised Video Representation Learning with Cross-Stream
  Prototypical Contrasting
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
Martine Toering
Ioannis Gatopoulos
M. Stol
Vincent Tao Hu
SSL
25
11
0
18 Jun 2021
Unsupervised Action Segmentation by Joint Representation Learning and
  Online Clustering
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
Sateesh Kumar
S. Haresh
Awais Ahmed
Andrey Konin
M. Zia
Quoc-Huy Tran
SSL
22
46
0
27 May 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation
  Learning
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Christoph Feichtenhofer
Haoqi Fan
Bo Xiong
Ross B. Girshick
Kaiming He
SSL
AI4TS
23
257
0
29 Apr 2021
Learning by Aligning Videos in Time
Learning by Aligning Videos in Time
S. Haresh
Sateesh Kumar
Huseyin Coskun
S. N. Syed
Andrey Konin
M. Zia
Quoc-Huy Tran
AI4TS
13
64
0
31 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation
  Learning
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
Mandela Patrick
Yuki M. Asano
Bernie Huang
Ishan Misra
Florian Metze
Joao Henriques
Andrea Vedaldi
AI4TS
16
33
0
18 Mar 2021
VA-RED$^2$: Video Adaptive Redundancy Reduction
VA-RED2^22: Video Adaptive Redundancy Reduction
Bowen Pan
Rameswar Panda
Camilo Luciano Fosco
Chung-Ching Lin
A. Andonian
Yue Meng
Kate Saenko
A. Oliva
Rogerio Feris
15
19
0
15 Feb 2021
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised
  Video Representation Learning
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning
Zehua Zhang
David J. Crandall
AI4TS
SSL
16
23
0
23 Nov 2020
Explaining Motion Relevance for Activity Recognition in Video Deep
  Learning Models
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
Liam Hiley
Alun D. Preece
Y. Hicks
Supriyo Chakraborty
Prudhvi K. Gurram
Richard J. Tomsett
FAtt
9
14
0
31 Mar 2020
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Vaishakh Patil
Wouter Van Gansbeke
Dengxin Dai
Luc Van Gool
MDE
25
129
0
08 Jan 2020
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