Learning to See by Moving

7 May 2015

Papers citing "Learning to See by Moving"

30 / 130 papers shown

Title
Towards CNN Map Compression for camera relocalisation Luis Contreras W. Mayol-Cuevas 21 5 0 02 Mar 2017
PixelNet: Representation of the pixels, by the pixels, and for the pixels Aayush Bansal Xinlei Chen Bryan C. Russell Abhinav Gupta Deva Ramanan SSeg 29 120 0 21 Feb 2017
Learning Features by Watching Objects Move Deepak Pathak Ross B. Girshick Piotr Dollár Trevor Darrell Bharath Hariharan SSL VOS OCL 36 522 0 19 Dec 2016
Object-Centric Representation Learning from Unlabeled Videos Ruohan Gao Dinesh Jayaraman Kristen Grauman 19 36 0 01 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Y. Zhang Phillip Isola Alexei A. Efros SSL DRL 31 665 0 29 Nov 2016
Social Behavior Prediction from First Person Videos Shan Su J. Hong Jianbo Shi H. Park EgoV 34 12 0 29 Nov 2016
Self-Supervised Video Representation Learning With Odd-One-Out Networks Basura Fernando Hakan Bilen E. Gavves Stephen Gould SSL 19 450 0 21 Nov 2016
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 32 338 0 06 Nov 2016
Pose from Action: Unsupervised Learning of Pose Features based on Motion Senthil Purushwalkam Abhinav Gupta SSL 26 23 0 18 Sep 2016
What makes ImageNet good for transfer learning? Minyoung Huh Pulkit Agrawal Alexei A. Efros OOD SSeg VLM SSL 62 671 0 30 Aug 2016
Localizing and Orienting Street Views Using Overhead Imagery Nam N. Vo James Hays 21 246 0 30 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders Jacob Walker Carl Doersch Abhinav Gupta M. Hebert VGen 15 512 0 25 Jun 2016
Universal Correspondence Network Chris Choy JunYoung Gwak Silvio Savarese Manmohan Chandraker 15 367 0 11 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 55 141 0 31 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning William Lotter Gabriel Kreiman David D. Cox SSL 52 927 0 25 May 2016
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion Dinesh Jayaraman Kristen Grauman 17 90 0 30 Apr 2016
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data Jing Wang Yu Cheng Rogerio Feris EgoV CVBM 22 115 0 21 Apr 2016
WarpNet: Weakly Supervised Matching for Single-view Reconstruction Angjoo Kanazawa David Jacobs Manmohan Chandraker 9 160 0 19 Apr 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification Ishan Misra C. L. Zitnick M. Hebert SSL 28 66 0 28 Mar 2016
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions Andy Zeng Shuran Song Matthias Nießner Matthew Fisher Jianxiong Xiao Thomas Funkhouser 3DV 3DPC 34 974 0 27 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks Xinyu Wang Abhinav Gupta GAN 31 617 0 17 Mar 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue Ravi Garg B. V. Kumar G. Carneiro Ian Reid 3DV MDE 39 1,522 0 16 Mar 2016
Learning Physical Intuition of Block Towers by Example Adam Lerer Sam Gross Rob Fergus PINN 27 298 0 03 Mar 2016
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach Mattis Paulin Julien Mairal Matthijs Douze Zaïd Harchaoui Florent Perronnin Cordelia Schmid SSL 14 65 0 01 Mar 2016
Data-dependent Initializations of Convolutional Neural Networks Philipp Krahenbuhl Carl Doersch Jeff Donahue Trevor Darrell VLM 30 202 0 21 Nov 2015
Learning visual groups from co-occurrences in space and time Phillip Isola Daniel Zoran Dilip Krishnan Edward H. Adelson 14 121 0 21 Nov 2015
Spatio-temporal video autoencoder with differentiable memory Viorica Patraucean Ankur Handa R. Cipolla 34 307 0 19 Nov 2015
Slow and steady feature analysis: higher order temporal coherence in video Dinesh Jayaraman Kristen Grauman 26 143 0 15 Jun 2015
Learning image representations tied to ego-motion Dinesh Jayaraman Kristen Grauman SSL 20 245 0 08 May 2015
Designing Deep Networks for Surface Normal Estimation Xinyu Wang David Fouhey Abhinav Gupta 3DV SSL 167 353 0 18 Nov 2014