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ShapeCodes: Self-Supervised Feature Learning by Lifting Views to
  Viewgrids
v1v2v3v4 (latest)

ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids

1 September 2017
Dinesh Jayaraman
Ruohan Gao
Kristen Grauman
    SSL
ArXiv (abs)PDFHTML

Papers citing "ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids"

5 / 5 papers shown
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration
Glimpse-Attend-and-Explore: Self-Attention for Active Visual ExplorationIEEE International Conference on Computer Vision (ICCV), 2021
Soroush Seifi
Abhishek Jha
Tinne Tuytelaars
120
11
0
26 Aug 2021
Exploit Clues from Views: Self-Supervised and Regularized Learning for
  Multiview Object Recognition
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Chih-Hui Ho
Bo Liu
Tz-Ying Wu
Nuno Vasconcelos
167
8
0
28 Mar 2020
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
Zhenpei Yang
J. Z. Pan
Linjie Luo
Xiaowei Zhou
Kristen Grauman
Qi-Xing Huang
283
59
0
31 Dec 2018
Learning Pose Specific Representations by Predicting Different Views
Learning Pose Specific Representations by Predicting Different Views
Georg Poier
David Schinagl
Horst Bischof
SSL
190
26
0
10 Apr 2018
Learning to Look Around: Intelligently Exploring Unseen Environments for
  Unknown Tasks
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
Dinesh Jayaraman
Kristen Grauman
SSL
182
112
0
01 Sep 2017
1