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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"

26 / 326 papers shown
Deep Deformation Network for Object Landmark Localization
Deep Deformation Network for Object Landmark Localization
Xiang Yu
F. Zhou
Manmohan Chandraker
266
115
0
03 May 2016
Look-ahead before you leap: end-to-end active recognition by forecasting
  the effect of motion
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion
Dinesh Jayaraman
Kristen Grauman
269
94
0
30 Apr 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
381
5,610
0
25 Apr 2016
Walk and Learn: Facial Attribute Representation Learning from Egocentric
  Video and Contextual Data
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
Jing Wang
Yu Cheng
Rogerio Feris
EgoVCVBM
199
116
0
21 Apr 2016
WarpNet: Weakly Supervised Matching for Single-view Reconstruction
WarpNet: Weakly Supervised Matching for Single-view Reconstruction
Angjoo Kanazawa
David Jacobs
Manmohan Chandraker
186
162
0
19 Apr 2016
Learning Dense Correspondence via 3D-guided Cycle Consistency
Learning Dense Correspondence via 3D-guided Cycle Consistency
Tinghui Zhou
Philipp Krahenbuhl
Mathieu Aubry
Qi-Xing Huang
Alexei A. Efros
288
398
0
18 Apr 2016
The Curious Robot: Learning Visual Representations via Physical
  Interactions
The Curious Robot: Learning Visual Representations via Physical Interactions
Lerrel Pinto
Dhiraj Gandhi
Yuanfeng Han
Yong‐Lae Park
Abhinav Gupta
264
192
0
05 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
751
3,164
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
161
68
0
28 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
621
3,662
0
28 Mar 2016
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
Andy Zeng
Shuran Song
Matthias Nießner
Matthew Fisher
Jianxiong Xiao
Thomas Funkhouser
3DV3DPC
280
1,124
0
27 Mar 2016
Learning Image Matching by Simply Watching Video
Learning Image Matching by Simply Watching Video
Gucan Long
L. Kneip
J. Álvarez
Hongdong Li
137
209
0
19 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
249
634
0
17 Mar 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the
  Rescue
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
3DVMDE
323
1,609
0
16 Mar 2016
Learning Physical Intuition of Block Towers by Example
Learning Physical Intuition of Block Towers by Example
Adam Lerer
Sam Gross
Rob Fergus
PINN
251
307
0
03 Mar 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
147
66
0
01 Mar 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
852
2,162
0
24 Feb 2016
Unsupervised High-level Feature Learning by Ensemble Projection for
  Semi-supervised Image Classification and Image Clustering
Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering
Dengxin Dai
Luc Van Gool
163
31
0
02 Feb 2016
Visually Indicated Sounds
Visually Indicated Sounds
Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
363
406
0
28 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
683
5,678
0
22 Dec 2015
Data-dependent Initializations of Convolutional Neural Networks
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krahenbuhl
Carl Doersch
Jeff Donahue
Trevor Darrell
VLM
331
206
0
21 Nov 2015
Learning visual groups from co-occurrences in space and time
Learning visual groups from co-occurrences in space and time
Phillip Isola
Daniel Zoran
Dilip Krishnan
Edward H. Adelson
143
126
0
21 Nov 2015
Patterns for Learning with Side Information
Patterns for Learning with Side Information
Rico Jonschkowski
Sebastian Hofer
Oliver Brock
SSL
285
30
0
19 Nov 2015
Spatio-temporal video autoencoder with differentiable memory
Spatio-temporal video autoencoder with differentiable memory
Viorica Patraucean
Ankur Handa
R. Cipolla
365
312
0
19 Nov 2015
Slow and steady feature analysis: higher order temporal coherence in
  video
Slow and steady feature analysis: higher order temporal coherence in videoComputer Vision and Pattern Recognition (CVPR), 2015
Dinesh Jayaraman
Kristen Grauman
194
148
0
15 Jun 2015
Learning image representations tied to ego-motion
Learning image representations tied to ego-motion
Dinesh Jayaraman
Kristen Grauman
SSL
206
248
0
08 May 2015
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