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We study the unsupervised learning of CNNs for optical flow estimation using proxy ground truth data.
Determining Optical Flow
B. K. Horn and B. G. Schunck · 1981
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High Accuracy Optical Flow Estimation Based on a Theory for Warping
T. Brox, A. Bruhn, N. Papenberg, and J. Weickert · 2004
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Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
T. Brox and J. Malik · 2011
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A Naturalistic Open Source Movie for Optical Flow Evaluation
D. J. Butler, J. Wulff, G. B. Stanley, and M. J. Black · 2012
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Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow
L. Bao, Q. Yang, and H. Jin · 2014
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Two-Stream Convolutional Networks for Action Recognition in Videos
K. Simonyan and A. Zisserman · 2014
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Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
C. Bailer, B. Taetz, and D. Stricker · 2015
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FlowNet: Learning Optical Flow with Convolutional Networks
A. Dosovitskiy, P. Fischer, E. Ilg, P. Hausser, C. Hazırbas, V. Golkov, P. v.d. Smagt, D. Cremers, and T. Brox · 2015
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Learning to Segment Moving Objects in Videos
K. Fragkiadaki, P. Arbeláez, P. Felsen, and J. Malik · 2015
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Spatial Transformer Network
M. Jaderberg, K. Simonyan, A. Zisserman, and K. Kavukcuoglu · 2015
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Efficient Sparse-to-Dense Optical Flow Estimation using a Learned Basis and Layers
J. Wulff and M. Black · 2015
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Unsupervised Convolutional Neural Networks for Motion Estimation
A. Ahmadi and I. Patras · 2016
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Unsupervised Monocular Depth Estimation with Left-Right Consistency
C. Godard, O. Mac Aodha, and G. J. Brostow · 2016
Deep Multi-Scale Video Prediction beyond Mean Square Error
M. Mathieu, C. Couprie, and Y. LeCun · 2016
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A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
N. Mayer, E. Ilg, P. Häusser, P. Fischer, D. Cremers, A. Dosovitskiy, and T. Brox · 2016
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Optical Flow Estimation using a Spatial Pyramid Network
A. Ranjan and M. J. Black · 2016
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Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
J. J. Yu, A. W. Harley, and K. G. Derpanis · 2016
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Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition
Y. Zhu and S. Newsam · 2016
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Cited alongside, same era.
Efficient Coarse-to-Fine PatchMatch for Large Displacement Optical Flow
Y. Hu, R. Song, and Y. Li · 2016
Cited alongside, same era.
Fast Optical Flow using Dense Inverse Searchn
T. Kroeger, R. Timofte, D. Dai, and L. V. Gool · 2016
Cited alongside, same era.
Y. Zhu, Z. Lan, S. Newsam, and A. G. Hauptmann · 2017
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DenseNet for Dense Flow
Y. Zhu and S. Newsam · 2017
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