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Devon: Deformable Volume Network for Learning Optical Flow
v1v2 (latest)

Devon: Deformable Volume Network for Learning Optical Flow

20 February 2018
Yao Lu
Jack Valmadre
Heng Wang
Arno Solin
Mehrtash Harandi
Philip Torr
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Devon: Deformable Volume Network for Learning Optical Flow"

32 / 32 papers shown
Title
SelFlow: Self-Supervised Learning of Optical Flow
SelFlow: Self-Supervised Learning of Optical Flow
Pengpeng Liu
Michael Lyu
Irwin King
Jia Xu
SSL
74
312
0
19 Apr 2019
Iterative Residual Refinement for Joint Optical Flow and Occlusion
  Estimation
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Junhwa Hur
Stefan Roth
84
273
0
10 Apr 2019
Models Matter, So Does Training: An Empirical Study of CNNs for Optical
  Flow Estimation
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
52
197
0
14 Sep 2018
Occlusions, Motion and Depth Boundaries with a Generic Network for
  Disparity, Optical Flow or Scene Flow Estimation
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
Eddy Ilg
Tonmoy Saikia
Margret Keuper
Thomas Brox
3DPC
124
206
0
06 Aug 2018
What Makes Good Synthetic Training Data for Learning Disparity and
  Optical Flow Estimation?
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
N. Mayer
Eddy Ilg
Philipp Fischer
C. Hazirbas
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
OOD
74
213
0
19 Jan 2018
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional
  Census Loss
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
Simon Meister
Junhwa Hur
Stefan Roth
3DPC
87
580
0
21 Nov 2017
Occlusion Aware Unsupervised Learning of Optical Flow
Occlusion Aware Unsupervised Learning of Optical Flow
Yang Wang
Yezhou Yang
Zhenheng Yang
Liang Zhao
Peng Wang
Wei Xu
SSL
63
310
0
16 Nov 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
269
2,448
0
07 Sep 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
234
8,488
0
17 Jun 2017
Learning Image Relations with Contrast Association Networks
Learning Image Relations with Contrast Association Networks
Yao Lu
Zhirong Yang
Arno Solin
Samuel Kaski
43
2
0
16 May 2017
Optical Flow in Mostly Rigid Scenes
Optical Flow in Mostly Rigid Scenes
Jonas Wulff
Laura Sevilla-Lara
Michael J. Black
OCL
70
119
0
03 May 2017
Accurate Optical Flow via Direct Cost Volume Processing
Accurate Optical Flow via Direct Cost Volume Processing
Jia Xu
René Ranftl
V. Koltun
111
240
0
24 Apr 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
206
5,339
0
17 Mar 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo
DeMoN: Depth and Motion Network for Learning Monocular Stereo
Benjamin Ummenhofer
Huizhong Zhou
J. Uhrig
N. Mayer
Eddy Ilg
Alexey Dosovitskiy
Thomas Brox
3DVMDE
109
702
0
07 Dec 2016
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
259
3,081
0
06 Dec 2016
Optical Flow Estimation using a Spatial Pyramid Network
Optical Flow Estimation using a Spatial Pyramid Network
Anurag Ranjan
Michael J. Black
3DPC
115
1,220
0
03 Nov 2016
Fully-Trainable Deep Matching
Fully-Trainable Deep Matching
James Thewlis
Shuai Zheng
Philip Torr
Andrea Vedaldi
3DV
61
42
0
12 Sep 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
267
18,267
0
02 Jun 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
381
14,263
0
23 Feb 2016
Learning to Extract Motion from Videos in Convolutional Neural Networks
Learning to Extract Motion from Videos in Convolutional Neural Networks
Damien Teney
M. Hebert
47
71
0
27 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
A Large Dataset to Train Convolutional Networks for Disparity, Optical
  Flow, and Scene Flow Estimation
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
N. Mayer
Eddy Ilg
Philip Häusser
Philipp Fischer
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
3DPC
69
2,648
0
07 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
271
8,459
0
23 Nov 2015
Stereo Matching by Training a Convolutional Neural Network to Compare
  Image Patches
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Jure Zbontar
Yann LeCun
3DV
152
1,388
0
20 Oct 2015
Flow Fields: Dense Correspondence Fields for Highly Accurate Large
  Displacement Optical Flow Estimation
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
C. Bailer
B. Taetz
D. Stricker
53
216
0
21 Aug 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
316
7,392
0
05 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
316
4,180
0
26 Apr 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
338
18,651
0
06 Feb 2015
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical
  Flow
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow
Jérôme Revaud
Philippe Weinzaepfel
Zaïd Harchaoui
Cordelia Schmid
76
797
0
12 Jan 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
294
6,284
0
16 Dec 2013
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