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Learning to See by Moving
v1v2 (latest)

Learning to See by Moving

7 May 2015
Pulkit Agrawal
João Carreira
Jitendra Malik
    SSL
ArXiv (abs)PDFHTML

Papers citing "Learning to See by Moving"

50 / 326 papers shown
Title
Representation Learning by Learning to Count
Representation Learning by Learning to Count
M. Noroozi
Hamed Pirsiavash
Paolo Favaro
SSL
204
377
0
22 Aug 2017
Transitive Invariance for Self-supervised Visual Representation Learning
Transitive Invariance for Self-supervised Visual Representation LearningIEEE International Conference on Computer Vision (ICCV), 2017
Xinyu Wang
Kaiming He
Abhinav Gupta
OODSSL
314
181
0
09 Aug 2017
WebVision Database: Visual Learning and Understanding from Web Data
WebVision Database: Visual Learning and Understanding from Web Data
Wen Li
Limin Wang
Wei Li
E. Agustsson
Luc Van Gool
VLM
297
481
0
09 Aug 2017
Self-supervised Learning of Pose Embeddings from Spatiotemporal
  Relations in Videos
Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in VideosIEEE International Conference on Computer Vision (ICCV), 2017
Ömer Sümer
Tobias Dencker
Bjorn Ommer
3DHSSL
129
28
0
07 Aug 2017
Unsupervised Representation Learning by Sorting Sequences
Unsupervised Representation Learning by Sorting Sequences
Hsin-Ying Lee
Jia-Bin Huang
Maneesh Kumar Singh
Ming-Hsuan Yang
SSLDRL
318
562
0
03 Aug 2017
Automatic Curation of Golf Highlights using Multimodal Excitement
  Features
Automatic Curation of Golf Highlights using Multimodal Excitement Features
Michele Merler
D. Joshi
Q. Nguyen
Stephen Hammer
John Kent
John R. Smith
Rogerio Feris
VGen
79
19
0
22 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
213
1
0
20 Jul 2017
Towards lightweight convolutional neural networks for object detection
Towards lightweight convolutional neural networks for object detection
Dmitriy Anisimov
T. Khanova
ObjD
149
42
0
05 Jul 2017
Teaching Compositionality to CNNs
Teaching Compositionality to CNNsComputer Vision and Pattern Recognition (CVPR), 2017
Austin Stone
Hua-Yan Wang
Michael Stark
Yi Liu
D. Phoenix
Dileep George
CoGe
135
55
0
14 Jun 2017
Exploring Convolutional Networks for End-to-End Visual Servoing
Exploring Convolutional Networks for End-to-End Visual ServoingIEEE International Conference on Robotics and Automation (ICRA), 2017
Aseem Saxena
Harit Pandya
Gourav Kumar
Ayush Gaud
K. M. Krishna
SSL
117
86
0
10 Jun 2017
Unsupervised learning of object frames by dense equivariant image
  labelling
Unsupervised learning of object frames by dense equivariant image labellingNeural Information Processing Systems (NeurIPS), 2017
James Thewlis
Hakan Bilen
Andrea Vedaldi
OCL
194
26
0
09 Jun 2017
Self-supervised learning of visual features through embedding images
  into text topic spaces
Self-supervised learning of visual features through embedding images into text topic spaces
L. G. I. Bigorda
Yash J. Patel
Marçal Rusiñol
Dimosthenis Karatzas
C. V. Jawahar
SSL
176
128
0
24 May 2017
Look, Listen and Learn
Look, Listen and Learn
Relja Arandjelović
Andrew Zisserman
SSL
353
978
0
23 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
493
3,583
0
19 May 2017
Learning Image Relations with Contrast Association Networks
Learning Image Relations with Contrast Association Networks
Yao Lu
Zhirong Yang
Arno Solin
Samuel Kaski
156
2
0
16 May 2017
WebVision Challenge: Visual Learning and Understanding With Web Data
WebVision Challenge: Visual Learning and Understanding With Web Data
Wen Li
Limin Wang
Wei Li
E. Agustsson
Jesse Berent
Abhinav Gupta
Rahul Sukthankar
Luc Van Gool
VLM
109
21
0
16 May 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRMSSL
519
2,702
0
15 May 2017
Unsupervised learning of object landmarks by factorized spatial
  embeddings
Unsupervised learning of object landmarks by factorized spatial embeddings
James Thewlis
Hakan Bilen
Andrea Vedaldi
OCLSSL
235
170
0
05 May 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
520
2,766
0
25 Apr 2017
Network Dissection: Quantifying Interpretability of Deep Visual
  Representations
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILMFAtt
436
1,664
1
19 Apr 2017
Unsupervised Learning by Predicting Noise
Unsupervised Learning by Predicting Noise
Piotr Bojanowski
Armand Joulin
OODSSL
156
298
0
18 Apr 2017
Learning to Estimate Pose by Watching Videos
Learning to Estimate Pose by Watching Videos
Prabuddha Chakraborty
Vinay P. Namboodiri
SSL3DH
104
3
0
13 Apr 2017
Weakly-Supervised Spatial Context Networks
Weakly-Supervised Spatial Context Networks
Zuxuan Wu
L. Davis
Leonid Sigal
SSL3DPC
128
1
0
10 Apr 2017
DeepPermNet: Visual Permutation Learning
DeepPermNet: Visual Permutation Learning
Rodrigo Santa Cruz
Basura Fernando
A. Cherian
Stephen Gould
SSL
148
108
0
10 Apr 2017
Customizing First Person Image Through Desired Actions
Customizing First Person Image Through Desired Actions
Shan Su
Jianbo Shi
H. Park
EgoV
80
0
0
01 Apr 2017
Automated Top View Registration of Broadcast Football Videos
Automated Top View Registration of Broadcast Football Videos
R. Sharma
Bharath Bhat
Vineet Gandhi
C. V. Jawahar
67
62
0
04 Mar 2017
Towards CNN Map Compression for camera relocalisation
Towards CNN Map Compression for camera relocalisation
Luis Contreras
W. Mayol-Cuevas
76
5
0
02 Mar 2017
Equivariance Through Parameter-Sharing
Equivariance Through Parameter-SharingInternational Conference on Machine Learning (ICML), 2017
Siamak Ravanbakhsh
J. Schneider
Barnabás Póczós
267
274
0
27 Feb 2017
PixelNet: Representation of the pixels, by the pixels, and for the
  pixels
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
166
122
0
21 Feb 2017
Learning Features by Watching Objects Move
Learning Features by Watching Objects MoveComputer Vision and Pattern Recognition (CVPR), 2016
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSLVOSOCL
285
533
0
19 Dec 2016
DeMoN: Depth and Motion Network for Learning Monocular Stereo
DeMoN: Depth and Motion Network for Learning Monocular Stereo
Benjamin Ummenhofer
Huizhong Zhou
J. Uhrig
N. Mayer
Eddy Ilg
Alexey Dosovitskiy
Thomas Brox
3DVMDE
310
728
0
07 Dec 2016
Object-Centric Representation Learning from Unlabeled Videos
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao
Dinesh Jayaraman
Kristen Grauman
184
36
0
01 Dec 2016
Understanding image motion with group representations
Understanding image motion with group representations
Andrew Jaegle
Stephen Phillips
Daphne Ippolito
Kostas Daniilidis
GAN
105
1
0
01 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSLDRL
333
687
0
29 Nov 2016
Social Behavior Prediction from First Person Videos
Social Behavior Prediction from First Person Videos
Shan Su
J. Hong
Jianbo Shi
H. Park
EgoV
123
12
0
29 Nov 2016
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Basura Fernando
Hakan Bilen
E. Gavves
Stephen Gould
SSL
299
464
0
21 Nov 2016
DeepVO: A Deep Learning approach for Monocular Visual Odometry
DeepVO: A Deep Learning approach for Monocular Visual Odometry
Vikram Mohanty
Shubh Agrawal
Shaswat Datta
Arna Ghosh
V. Sharma
D. Chakravarty
176
79
0
18 Nov 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil
Pulkit Agrawal
Tejas D. Kulkarni
Tom Erez
Peter W. Battaglia
Nando de Freitas
AI4CE
293
331
0
06 Nov 2016
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All
  Networks
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks
Eder Santana
Matthew S. Emigh
Pablo Zegers
José C. Príncipe
BDL
382
16
0
31 Oct 2016
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Senthil Purushwalkam
Abhinav Gupta
SSL
125
23
0
18 Sep 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OODSSegVLMSSL
352
696
0
30 Aug 2016
Localizing and Orienting Street Views Using Overhead Imagery
Localizing and Orienting Street Views Using Overhead Imagery
Nam N. Vo
James Hays
230
271
0
30 Jul 2016
gvnn: Neural Network Library for Geometric Computer Vision
gvnn: Neural Network Library for Geometric Computer Vision
Ankur Handa
Michael Blösch
Viorica Patraucean
Simon Stent
J. McCormac
Andrew J. Davison
ViT
203
100
0
25 Jul 2016
Learning to Recognize Objects by Retaining other Factors of Variation
Learning to Recognize Objects by Retaining other Factors of Variation
Jiaping Zhao
Chin-Kai Chang
Laurent Itti
DRL
264
5
0
20 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational AutoencodersEuropean Conference on Computer Vision (ECCV), 2016
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
286
520
0
25 Jun 2016
Regularization With Stochastic Transformations and Perturbations for
  Deep Semi-Supervised Learning
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Mehdi S. M. Sajjadi
Mehran Javanmardi
Tolga Tasdizen
BDL
338
1,203
0
14 Jun 2016
Universal Correspondence Network
Universal Correspondence Network
Chris Choy
JunYoung Gwak
Silvio Savarese
Manmohan Chandraker
193
378
0
11 Jun 2016
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
SE3-Nets: Learning Rigid Body Motion using Deep Neural NetworksIEEE International Conference on Robotics and Automation (ICRA), 2016
Arunkumar Byravan
Dieter Fox
3DPC
386
276
0
08 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep LearningAllerton Conference on Communication, Control, and Computing (Allerton), 2016
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
462
1,880
0
31 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
465
972
0
25 May 2016
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