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Stereo Matching by Training a Convolutional Neural Network to Compare
  Image Patches

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

20 October 2015
Jure Zbontar
Yann LeCun
    3DV
ArXivPDFHTML

Papers citing "Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches"

21 / 171 papers shown
Title
SCNet: Learning Semantic Correspondence
SCNet: Learning Semantic Correspondence
Kai Han
Rafael Sampaio de Rezende
Bumsub Ham
Kwan-Yee K. Wong
Minsu Cho
Cordelia Schmid
Jean Ponce
35
150
0
11 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
76
2,558
0
25 Apr 2017
Accurate Optical Flow via Direct Cost Volume Processing
Accurate Optical Flow via Direct Cost Volume Processing
Jia Xu
René Ranftl
V. Koltun
21
238
0
24 Apr 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
10
787
0
18 Apr 2017
Learned Multi-Patch Similarity
Learned Multi-Patch Similarity
Wilfried Hartmann
S. Galliani
M. Havlena
Luc Van Gool
Konrad Schindler
3DV
14
106
0
26 Mar 2017
End-to-End Learning of Geometry and Context for Deep Stereo Regression
End-to-End Learning of Geometry and Context for Deep Stereo Regression
Alex Kendall
H. Martirosyan
Saumitro Dasgupta
Peter Henry
Ryan Kennedy
Abraham Bachrach
Adam Bry
3DV
3DPC
MDE
54
1,321
0
13 Mar 2017
Depth from Monocular Images using a Semi-Parallel Deep Neural Network
  (SPDNN) Hybrid Architecture
Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture
S. Bazrafkan
Hossein Javidnia
Joseph Lemley
Peter Corcoran
MDE
12
16
0
10 Mar 2017
Real-time visual tracking by deep reinforced decision making
Real-time visual tracking by deep reinforced decision making
Janghoon Choi
Junseok Kwon
Kyoung Mu Lee
16
41
0
21 Feb 2017
FCSS: Fully Convolutional Self-Similarity for Dense Semantic
  Correspondence
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
Seungryong Kim
Dongbo Min
Bumsub Ham
Sangryul Jeon
Stephen Lin
Kwanghoon Sohn
26
130
0
03 Feb 2017
Improved Stereo Matching with Constant Highway Networks and Reflective
  Confidence Learning
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
Amit Shaked
Lior Wolf
3DV
31
198
0
31 Dec 2016
End-to-End Training of Hybrid CNN-CRF Models for Stereo
End-to-End Training of Hybrid CNN-CRF Models for Stereo
Patrick Knöbelreiter
Christian Reinbacher
Alexander Shekhovtsov
Thomas Pock
3DV
43
132
0
30 Nov 2016
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense
  Stereo
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo
Andrey Kuzmin
Dmitry Mikushin
Victor Lempitsky
3DV
26
24
0
17 Nov 2016
Learning Deep Embeddings with Histogram Loss
Learning Deep Embeddings with Histogram Loss
E. Ustinova
Victor Lempitsky
59
349
0
02 Nov 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
72
2,870
0
13 Sep 2016
Fully-Trainable Deep Matching
Fully-Trainable Deep Matching
James Thewlis
Shuai Zheng
Philip Torr
Andrea Vedaldi
3DV
16
42
0
12 Sep 2016
Benchmarking State-of-the-Art Deep Learning Software Tools
Benchmarking State-of-the-Art Deep Learning Software Tools
Shaoshuai Shi
Qiang-qiang Wang
Pengfei Xu
Xuming Hu
BDL
19
327
0
25 Aug 2016
Re-ranking Object Proposals for Object Detection in Automatic Driving
Re-ranking Object Proposals for Object Detection in Automatic Driving
Zhun Zhong
Mingyi Lei
Shaozi Li
Jianping Fan
21
5
0
19 May 2016
Detecting Ground Control Points via Convolutional Neural Network for
  Stereo Matching
Detecting Ground Control Points via Convolutional Neural Network for Stereo Matching
Zhun Zhong
Songzhi Su
Donglin Cao
Shaozi Li
24
8
0
08 May 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
43
384
0
18 Apr 2016
Free-Space Detection with Self-Supervised and Online Trained Fully
  Convolutional Networks
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks
Willem P. Sanberg
Gijs Dubbelman
Peter H. N. de With
19
26
0
08 Apr 2016
Continuous 3D Label Stereo Matching using Local Expansion Moves
Continuous 3D Label Stereo Matching using Local Expansion Moves
Tatsunori Taniai
Y. Matsushita
Yoichi Sato
T. Naemura
3DV
30
142
0
28 Mar 2016
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