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Recent work has shown that optical flow estimation can be formulated as a supervised learning task and can be successfully solved with convolutional networks.
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Three-dimensional scene flow
S. Vedula, S. Baker, P. Rander, R. Collins, and T. Kanade · 2005
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A variational method for scene flow estimation from stereo sequences
F. Huguet and F. Deverney · 2007
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im2gps: estimating geographic information from a single image
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H. Hirschmüller · 2008
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Efficient dense scene flow from sparse or dense stereo data
A. Wedel, C. Rabe, T. Vaudrey, T. Brox, U. Franke, and D. Cremers · 2008
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A database and evaluation methodology for optical flow
S. Baker, D. Scharstein, J. Lewis, S. Roth, M. J. Black, and R. Szeliski · 2009
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Cross-based local stereo matching using orthogonal integral images
K. Zhang, J. Lu, and G. Lafruit · 2009
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Scene flow estimation by growing correspondence seeds
J. Cech, J. Sanchez-Riera, and R. P. Horaud · 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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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Indoor segmentation and support inference from rgbd images
P. K. Nathan Silberman, Derek Hoiem and R. Fergus · 2012
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Scene flow by tracking in intensity and depth data
J. Quiroga, F. Devernay, and J. Crowley · 2012
Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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High-resolution stereo datasets with subpixel-accurate ground truth
D. Scharstein, H. Hirschmüller, Y. Kitajima, G. Krathwohl, N. Nešić, X. Wang, and P. Westling · 2014
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FlowNet: Learning optical flow with convolutional networks
A. Dosovitskiy, P. Fischer, E. Ilg, P. Häusser, C. Hazırbaş, V. Golkov, P. van der Smagt, D. Cremers, and T. Brox · 2015
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Vision meets robotics: The KITTI dataset
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun · 2013
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Piecewise rigid scene flow
C. Vogel, K. Schindler, and S. Roth · 2013
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Sun3d: A database of big spaces reconstructed using sfm and object labels
J. Xiao, A. Owens, and A. Torralba · 2013
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Depth map prediction from a single image using a multi-scale deep network
D. Eigen, C. Puhrsch, and R. Fergus · 2014
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Object scene flow for autonomous vehicles
M. Menze and A. Geiger · 2015
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Semantically-Enriched 3D Models for Common-sense Knowledge
M. Savva, A. X. Chang, and P. Hanrahan · 2015
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Stereo matching by training a convolutional neural network to compare image patches
J. Žbontar and Y. LeCun · 2015
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