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FlowFields++: Accurate Optical Flow Correspondences Meet Robust
  Interpolation

FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation

9 May 2018
René Schuster
C. Bailer
Oliver Wasenmüller
D. Stricker
ArXivPDFHTML

Papers citing "FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation"

5 / 5 papers shown
Title
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
68
2,550
0
26 Mar 2020
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
18
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
20
271
0
10 Apr 2019
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for
  Dense Matching Tasks
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks
René Schuster
Oliver Wasenmüller
C. Unger
D. Stricker
MDE
24
50
0
05 Apr 2019
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and
  Robust Interpolation for Scene Flow Estimation
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation
René Schuster
Oliver Wasenmüller
C. Unger
G. Kuschk
D. Stricker
37
17
0
26 Feb 2019
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