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Unsupervised Feature Learning from Temporal Data

Unsupervised Feature Learning from Temporal Data

9 April 2015
Ross Goroshin
Joan Bruna
Jonathan Tompson
David Eigen
Yann LeCun
ArXivPDFHTML

Papers citing "Unsupervised Feature Learning from Temporal Data"

11 / 11 papers shown
Title
What have we learned from deep representations for action recognition?
What have we learned from deep representations for action recognition?
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
Andrew Zisserman
SSL
28
47
0
04 Jan 2018
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual
  Learning
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
Andrew Owens
Jiajun Wu
Josh H. McDermott
William T. Freeman
Antonio Torralba
SSL
41
177
0
20 Dec 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
11
2,394
0
15 May 2017
Object-Centric Representation Learning from Unlabeled Videos
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao
Dinesh Jayaraman
Kristen Grauman
19
36
0
01 Dec 2016
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
20
716
0
07 Nov 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
47
671
0
30 Aug 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
A. Roy-Chowdhury
L. Davis
41
1,089
0
15 Apr 2016
Convolutional Patch Representations for Image Retrieval: an Unsupervised
  Approach
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach
Mattis Paulin
Julien Mairal
Matthijs Douze
Zaïd Harchaoui
Florent Perronnin
Cordelia Schmid
SSL
12
65
0
01 Mar 2016
Neural network-based clustering using pairwise constraints
Neural network-based clustering using pairwise constraints
Yen-Chang Hsu
Z. Kira
24
83
0
19 Nov 2015
Learning to See by Moving
Learning to See by Moving
Pulkit Agrawal
João Carreira
Jitendra Malik
SSL
23
552
0
07 May 2015
Learning Temporal Embeddings for Complex Video Analysis
Learning Temporal Embeddings for Complex Video Analysis
Vignesh Ramanathan
K. Tang
Greg Mori
Li Fei-Fei
34
71
0
02 May 2015
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