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Occlusions pose a significant challenge to optical flow algorithms that rely on local evidences.
Using relaxation to find a puppet
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High accuracy optical flow estimation based on a theory for warping
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Lucas/kanade meets horn/schunck: Combining local and global optic flow methods
Andrés Bruhn, Joachim Weickert, and Christoph Schnörr · 2005
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Symmetrical dense optical flow estimation with occlusions detection
Luis Alvarez, Rachid Deriche, Théo Papadopoulo, and Javier Sánchez · 2007
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A duality based approach for realtime tv-l 1 optical flow
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An improved algorithm for tv-l 1 optical flow
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Secrets of optical flow estimation and their principles
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Layered image motion with explicit occlusions, temporal consistency, and depth ordering
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A naturalistic open source movie for optical flow evaluation
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Fast cost-volume filtering for visual correspondence and beyond
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Flownet: Learning optical flow with convolutional networks
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Discrete optimization for optical flow
Moritz Menze, Christian Heipke, and Andreas Geiger · 2015
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Joint 3d estimation of vehicles and scene flow
Moritz Menze, Christian Heipke, and Andreas Geiger · 2015
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Epicflow: Edge-preserving interpolation of correspondences for optical flow
Jerome Revaud, Philippe Weinzaepfel, Zaid Harchaoui, and Cordelia Schmid · 2015
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Full flow: Optical flow estimation by global optimization over regular grids
Qifeng Chen and Vladlen Koltun · 2016
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The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driving
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Occlusion aware unsupervised learning of optical flow
Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, and Wei Xu · 2018
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Attention augmented convolutional networks
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Dual attention network for scene segmentation
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Ccnet: Criss-cross attention for semantic segmentation
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Iterative residual refinement for joint optical flow and occlusion estimation
Junhwa Hur and Stefan Roth · 2019
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Selflow: Self-supervised learning of optical flow
Pengpeng Liu, Michael Lyu, Irwin King, and Jia Xu · 2019
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N. Mayer, E. Ilg, P. Häusser, P. Fischer, D. Cremers, A. Dosovitskiy, and T. Brox · 2016
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Mirrorflow: Exploiting symmetries in joint optical flow and occlusion estimation
Junhwa Hur and Stefan Roth · 2017
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Flownet 2.0: Evolution of optical flow estimation with deep networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2017
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Slow flow: Exploiting high-speed cameras for accurate and diverse optical flow reference data
Joel Janai, Fatma Guney, Jonas Wulff, Michael J Black, and Andreas Geiger · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Accurate optical flow via direct cost volume processing
Jia Xu, René Ranftl, and Vladlen Koltun · 2017
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Stand-alone self-attention in vision models
Prajit Ramachandran, Niki Parmar, Ashish Vaswani, Irwan Bello, Anselm Levskaya, and Jonathon Shlens · 2019
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Super-convergence: Very fast training of neural networks using large learning rates
Leslie N Smith and Nicholay Topin · 2019
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Models matter, so does training: An empirical study of cnns for optical flow estimation
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2019
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Volumetric correspondence networks for optical flow
Gengshan Yang and Deva Ramanan · 2019
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Hierarchical discrete distribution decomposition for match density estimation
Zhichao Yin, Trevor Darrell, and Fisher Yu · 2019
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Scopeflow: Dynamic scene scoping for optical flow
Aviram Bar-Haim and Lior Wolf · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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Maskflownet: Asymmetric feature matching with learnable occlusion mask
Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I Chang, Yan Xu, et al · 2020
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Learning optical flow from a few matches
Shihao Jiang, Yao Lu, Hongdong Li, and Richard Hartley · 2021
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