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Shape and Symmetry Induction for 3D Objects

Shape and Symmetry Induction for 3D Objects

24 November 2015
Shubham Tulsiani
Abhishek Kar
Qi-Xing Huang
João Carreira
Jitendra Malik
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Papers citing "Shape and Symmetry Induction for 3D Objects"

14 / 14 papers shown
Title
Shape, Illumination, and Reflectance from Shading
Shape, Illumination, and Reflectance from Shading
Jonathan T. Barron
Jitendra Malik
3DV
40
727
0
07 Oct 2020
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
Kevin Karsch
Ce Liu
S. B. Kang
MDE
72
586
0
24 Dec 2019
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
738
37,846
0
20 May 2016
Inverting Visual Representations with Convolutional Networks
Inverting Visual Representations with Convolutional Networks
Alexey Dosovitskiy
Thomas Brox
SSL
FAtt
63
665
0
09 Jun 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with
  Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
97
737
0
21 May 2015
Pose Induction for Novel Object Categories
Pose Induction for Novel Object Categories
Shubham Tulsiani
João Carreira
Jitendra Malik
57
34
0
01 May 2015
Lifting Object Detection Datasets into 3D
Lifting Object Detection Datasets into 3D
João Carreira
Sara Vicente
Lourdes Agapito
Jorge Batista
3DPC
42
18
0
22 Mar 2015
Learning Deep Object Detectors from 3D Models
Learning Deep Object Detectors from 3D Models
Xingchao Peng
Baochen Sun
Karim Ali
Kate Saenko
3DPC
3DV
66
59
0
22 Dec 2014
Category-Specific Object Reconstruction from a Single Image
Category-Specific Object Reconstruction from a Single Image
Abhishek Kar
Shubham Tulsiani
João Carreira
Jitendra Malik
3DV
60
287
0
22 Nov 2014
Viewpoints and Keypoints
Viewpoints and Keypoints
Shubham Tulsiani
Jitendra Malik
74
398
0
22 Nov 2014
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
276
355
0
18 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
207
2,679
0
18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
217
4,056
0
09 Jun 2014
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