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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

14 September 2018
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
    3DPC
ArXiv (abs)PDFHTMLGithub (1684★)

Papers citing "Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation"

47 / 97 papers shown
E-RAFT: Dense Optical Flow from Event Cameras
E-RAFT: Dense Optical Flow from Event CamerasInternational Conference on 3D Vision (3DV), 2021
Mathias Gehrig
Mario Millhäusler
Daniel Gehrig
Davide Scaramuzza
301
182
0
24 Aug 2021
Multi-scale Matching Networks for Semantic Correspondence
Multi-scale Matching Networks for Semantic CorrespondenceIEEE International Conference on Computer Vision (ICCV), 2021
Dongyang Zhao
Ziyang Song
Zhenghao Ji
Gangming Zhao
Weifeng Ge
Yizhou Yu
265
54
0
31 Jul 2021
Detail Preserving Residual Feature Pyramid Modules for Optical Flow
Detail Preserving Residual Feature Pyramid Modules for Optical FlowIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Libo Long
J. Lang
84
8
0
23 Jul 2021
DDCNet-Multires: Effective Receptive Field Guided Multiresolution CNN
  for Dense Prediction
DDCNet-Multires: Effective Receptive Field Guided Multiresolution CNN for Dense Prediction
A. Salehi
M. Balasubramanian
161
3
0
12 Jul 2021
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction
A. Salehi
M. Balasubramanian
MDE
134
19
0
09 Jul 2021
Learning by Distillation: A Self-Supervised Learning Framework for
  Optical Flow Estimation
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow EstimationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Pengpeng Liu
Michael R. Lyu
Irwin King
Jia Xu
138
10
0
08 Jun 2021
AutoFlow: Learning a Better Training Set for Optical Flow
AutoFlow: Learning a Better Training Set for Optical FlowComputer Vision and Pattern Recognition (CVPR), 2021
Deqing Sun
Daniel Vlasic
Charles Herrmann
Varun Jampani
Michael Krainin
Huiwen Chang
Ramin Zabih
William T. Freeman
Ce Liu
3DPC
201
128
0
29 Apr 2021
High-Resolution Optical Flow from 1D Attention and Correlation
High-Resolution Optical Flow from 1D Attention and CorrelationIEEE International Conference on Computer Vision (ICCV), 2021
Haofei Xu
Jiaolong Yang
Jianfei Cai
Juyong Zhang
Xin Tong
325
88
0
28 Apr 2021
Self-Supervised Pillar Motion Learning for Autonomous Driving
Self-Supervised Pillar Motion Learning for Autonomous DrivingComputer Vision and Pattern Recognition (CVPR), 2021
Chenxu Luo
Xiaodong Yang
Alan Yuille
SSL3DPC
161
71
0
18 Apr 2021
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point
  Clouds
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point CloudsInternational Conference on 3D Vision (3DV), 2021
Bojun Ouyang
D. Raviv
3DPC
224
19
0
10 Apr 2021
Learning optical flow from still images
Learning optical flow from still imagesComputer Vision and Pattern Recognition (CVPR), 2021
Filippo Aleotti
Matteo Poggi
S. Mattoccia
3DPC
183
37
0
08 Apr 2021
LIFE: Lighting Invariant Flow Estimation
LIFE: Lighting Invariant Flow Estimation
Zhaoyang Huang
Xiao Pan
Runsen Xu
Yan Xu
Ka Chun Cheung
Guofeng Zhang
Jiaming Song
198
8
0
07 Apr 2021
Learning to Estimate Hidden Motions with Global Motion Aggregation
Learning to Estimate Hidden Motions with Global Motion AggregationIEEE International Conference on Computer Vision (ICCV), 2021
Shihao Jiang
Dylan Campbell
Yao Lu
Hongdong Li
Leonid Sigal
3DPC
335
373
0
06 Apr 2021
Learning Optical Flow from a Few Matches
Learning Optical Flow from a Few MatchesComputer Vision and Pattern Recognition (CVPR), 2021
Shihao Jiang
Yao Lu
Hongdong Li
Leonid Sigal
216
79
0
05 Apr 2021
COTR: Correspondence Transformer for Matching Across Images
COTR: Correspondence Transformer for Matching Across ImagesIEEE International Conference on Computer Vision (ICCV), 2021
Wei Jiang
Eduard Trulls
J. Hosang
Andrea Tagliasacchi
K. M. Yi
ViT
296
301
0
25 Mar 2021
Normalized Convolution Upsampling for Refined Optical Flow Estimation
Normalized Convolution Upsampling for Refined Optical Flow EstimationVISIGRAPP (VISIGRAPP), 2021
Abdelrahman Eldesokey
Michael Felsberg
105
13
0
13 Feb 2021
Optical Flow Estimation via Motion Feature Recovery
Optical Flow Estimation via Motion Feature RecoveryInternational Conference on Information Photonics (ICIP), 2021
Yang Jiao
Guangming Shi
T. Tran
90
4
0
16 Jan 2021
Occlusion Guided Scene Flow Estimation on 3D Point Clouds
Occlusion Guided Scene Flow Estimation on 3D Point Clouds
Bojun Ouyang
D. Raviv
3DPC
274
33
0
30 Nov 2020
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving
  Objects
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving ObjectsInternational Conference on Pattern Recognition (ICPR), 2020
Suihanjin Yu
Youming Zhang
Chen Wang
Xiao Bai
Liang Zhang
Edwin R. Hancock
98
3
0
19 Nov 2020
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow
  Estimation
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow EstimationNeural Information Processing Systems (NeurIPS), 2020
Jianyuan Wang
Yiran Zhong
Yuchao Dai
Kaihao Zhang
Pan Ji
Hongdong Li
145
78
0
28 Oct 2020
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds
Guangming Wang
Xin Wu
Yanfeng Guo
Hesheng Wang
3DPC
149
78
0
12 Oct 2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your
  Neural Network
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural NetworkNeural Information Processing Systems (NeurIPS), 2020
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
387
83
0
16 Sep 2020
Learnable Cost Volume Using the Cayley Representation
Learnable Cost Volume Using the Cayley Representation
Taihong Xiao
Jinwei Yuan
Deqing Sun
Qifei Wang
Xinyu Zhang
Kehan Xu
Ming-Hsuan Yang
216
13
0
21 Jul 2020
Hierarchical Contrastive Motion Learning for Video Action Recognition
Hierarchical Contrastive Motion Learning for Video Action Recognition
Xitong Yang
Xiaodong Yang
Sifei Liu
Deqing Sun
L. Davis
Jan Kautz
SSL
287
15
0
20 Jul 2020
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate
  Optical Flow Estimation
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow EstimationEuropean Conference on Computer Vision (ECCV), 2020
Tak-Wai Hui
Chen Change Loy
211
78
0
18 Jul 2020
STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame
  Optical Flow Estimation
STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow EstimationInternational Conference on Pattern Recognition (ICPR), 2020
Pierre Godet
Alexandre Boulch
A. Plyer
G. L. Besnerais
147
20
0
10 Jul 2020
Multiple Video Frame Interpolation via Enhanced Deformable Separable
  Convolution
Multiple Video Frame Interpolation via Enhanced Deformable Separable ConvolutionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Xianhang Cheng
Zhenzhong Chen
322
143
0
15 Jun 2020
OF-VO: Efficient Navigation among Pedestrians Using Commodity Sensors
OF-VO: Efficient Navigation among Pedestrians Using Commodity Sensors
Jing Liang
Yi-Ling Qiao
Tianrui Guan
Tianyi Zhou
499
18
0
23 Apr 2020
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired
  Study
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired StudyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
D. D. Jong
Federico Paredes-Valles
Guido de Croon
215
9
0
20 Apr 2020
Deep Homography Estimation for Dynamic Scenes
Deep Homography Estimation for Dynamic ScenesComputer Vision and Pattern Recognition (CVPR), 2020
Hoang Le
Feng Liu
Shu Zhen Zhang
A. Agarwala
3DH
146
138
0
05 Apr 2020
Probabilistic Pixel-Adaptive Refinement Networks
Probabilistic Pixel-Adaptive Refinement NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Anne S. Wannenwetsch
Stefan Roth
174
18
0
31 Mar 2020
Learning by Analogy: Reliable Supervision from Transformations for
  Unsupervised Optical Flow Estimation
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow EstimationComputer Vision and Pattern Recognition (CVPR), 2020
Lu Liu
Jiangning Zhang
Ruifei He
Yong Liu
Yabiao Wang
Ying Tai
Donghao Luo
Chengjie Wang
Jilin Li
Feiyue Huang
273
196
0
29 Mar 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical FlowEuropean Conference on Computer Vision (ECCV), 2020
Zachary Teed
Gaowen Liu
MDE
1.0K
3,357
0
26 Mar 2020
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion MaskComputer Vision and Pattern Recognition (CVPR), 2020
Shengyu Zhao
Yilun Sheng
Yue Dong
E. Chang
Yan Xu
3DPC
284
234
0
24 Mar 2020
ScopeFlow: Dynamic Scene Scoping for Optical Flow
ScopeFlow: Dynamic Scene Scoping for Optical FlowComputer Vision and Pattern Recognition (CVPR), 2020
Aviram Bar-Haim
Lior Wolf
253
53
0
25 Feb 2020
Improving Optical Flow on a Pyramid Level
Improving Optical Flow on a Pyramid Level
Markus Hofinger
Samuel Rota Buló
Lorenzo Porzi
A. Knapitsch
Thomas Pock
Peter Kontschieder
134
2
0
23 Dec 2019
GLU-Net: Global-Local Universal Network for Dense Flow and
  Correspondences
GLU-Net: Global-Local Universal Network for Dense Flow and CorrespondencesComputer Vision and Pattern Recognition (CVPR), 2019
Prune Truong
Martin Danelljan
Radu Timofte
3DPC
370
224
0
11 Dec 2019
SENSE: a Shared Encoder Network for Scene-flow Estimation
SENSE: a Shared Encoder Network for Scene-flow EstimationIEEE International Conference on Computer Vision (ICCV), 2019
Huaizu Jiang
Deqing Sun
Varun Jampani
Zhaoyang Lv
Erik Learned-Miller
Jan Kautz
3DPCVOS
204
83
0
27 Oct 2019
Deep Video Deblurring: The Devil is in the Details
Deep Video Deblurring: The Devil is in the Details
Jochen Gast
Stefan Roth
125
27
0
26 Sep 2019
Deep Reference Generation with Multi-Domain Hierarchical Constraints for
  Inter Prediction
Deep Reference Generation with Multi-Domain Hierarchical Constraints for Inter PredictionIEEE transactions on multimedia (IEEE TMM), 2019
Jiaying Liu
Sifeng Xia
Wenhan Yang
107
22
0
16 May 2019
SelFlow: Self-Supervised Learning of Optical Flow
SelFlow: Self-Supervised Learning of Optical Flow
Pengpeng Liu
Michael Lyu
Irwin King
Jia Xu
SSL
220
326
0
19 Apr 2019
Deep Rigid Instance Scene Flow
Deep Rigid Instance Scene Flow
Wei-Chiu Ma
Shenlong Wang
Rui Hu
Yuwen Xiong
R. Urtasun
3DPC
191
123
0
18 Apr 2019
An Empirical Evaluation Study on the Training of SDC Features for Dense
  Pixel Matching
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching
René Schuster
Oliver Wasenmüller
C. Unger
D. Stricker
112
2
0
12 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
273
289
0
10 Apr 2019
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and
  Regularization
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization
Tak-Wai Hui
Xiaoou Tang
Chen Change Loy
3DPC
282
198
0
15 Mar 2019
A Fusion Approach for Multi-Frame Optical Flow Estimation
A Fusion Approach for Multi-Frame Optical Flow Estimation
Zhile Ren
Orazio Gallo
Deqing Sun
Ming-Hsuan Yang
Erik B. Sudderth
Jan Kautz
139
94
0
23 Oct 2018
Devon: Deformable Volume Network for Learning Optical Flow
Devon: Deformable Volume Network for Learning Optical Flow
Yao Lu
Jack Valmadre
Heng Wang
Arno Solin
Mehrtash Harandi
Juil Sock
3DPC
156
34
0
20 Feb 2018
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