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Estimating per-pixel motion between video frames, known as optical flow, is a long-standing problem in video understanding and analysis.
Determining Optical Flow
Horn, B. K. P.; and Schunck, B. G. 1981 · 1981
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A framework for the robust estimation of optical flow
Black, M. J.; and Anandan, P. 1993 · 1993
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High Accuracy Optical Flow Estimation Based on a Theory for Warping
Brox, T.; Bruhn, A.; Papenberg, N.; and Weickert, J. 2004 · 2004
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Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
Bruhn, A.; Weickert, J.; and Schnörr, C. 2005 · 2005
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A Naturalistic Open Source Movie for Optical Flow Evaluation
Butler, D.; Wulff, J.; Stanley, G.; and Black, M. 2012 · 2012
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DeepFlow: Large displacement optical flow with deep matching
Weinzaepfel, P.; Revaud, J.; Harchaoui, Z.; and Schmid, C. 2013 · 2013
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FlowNet: Learning Optical Flow with Convolutional Networks
Dosovitskiy, A.; Fischer, P.; Ilg, E.; Häusser, P.; Hazirbas, C.; Golkov, V.; Smagt, P. V. D.; Cremers, D.; and Brox, T. 2015 · 2015
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Object scene flow for autonomous vehicles
Menze, M.; and Geiger, A. 2015 · 2015
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Exploiting semantic information and deep matching for optical flow
Bai, M.; Luo, W.; Kundu, K.; and Urtasun, R. 2016 · 2016
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Learning feed-forward one-shot learners
Bertinetto, L.; Henriques, J. F.; Valmadre, J.; Torr, P. H. S.; and Vedaldi, A. 2016 · 2016
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Deep Residual Learning for Image Recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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The HCI Benchmark Suite: Stereo and Flow Ground Truth with Uncertainties for Urban Autonomous Driving
Kondermann, D.; Nair, R.; Honauer, K.; Krispin, K.; Andrulis, J.; Brock, A.; Güssefeld, B.; Rahimimoghaddam, M.; Hofmann, S.; Brenner, C.; and Jähne, B. 2016 · 2016
Earlier work this paper cites.
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Mayer, N.; Ilg, E.; Häusser, P.; Fischer, P.; Cremers, D.; Dosovitskiy, A.; and Brox, T. 2016 · 2016
Earlier work this paper cites.
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Ilg, E.; Mayer, N.; Saikia, T.; Keuper, M.; Dosovitskiy, A.; and Brox, T. 2017 · 2017
Cited alongside, same era.
Semi-Supervised Classification with Graph Convolutional Networks
Kipf, T.; and Welling, M. 2017 · 2017
Cited alongside, same era.
Optical flow estimation using a spatial pyramid network
Ranjan, A.; and Black, M. J. 2017 · 2017
Cited alongside, same era.
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
Hui, T.-W.; Tang, X.; and Loy, C. C. 2018 · 2018
Cited alongside, same era.
Beyond Grids: Learning Graph Representations for Visual Recognition
Li, Y.; and Gupta, A. 2018 · 2018
Cited alongside, same era.
Person re-identification with deep similarity-guided graph neural network
Shen, Y.; Li, H.; Yi, S.; Chen, D.; and Wang, X. 2018 · 2018
Frame-guided region-aligned representation for video person re-identification
Chen, Z.; Zhou, Z.; Huang, J.; Zhang, P.; and Li, B. 2020 · 2020
Later among the works it cites.
Cascade graph neural networks for rgb-d salient object detection
Luo, A.; Li, X.; Yang, F.; Jiao, Z.; Cheng, H.; and Lyu, S. 2020 · 2020
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Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction
Mohamed, A.; Qian, K.; Elhoseiny, M.; and Claudel, C. 2020 · 2020
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SuperGlue: Learning Feature Matching With Graph Neural Networks
Sarlin, P.-E.; DeTone, D.; Malisiewicz, T.; and Rabinovich, A. 2020 · 2020
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Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
Sun, D.; Yang, X.; Liu, M.-Y.; and Kautz, J. 2020 · 2020
Later among the works it cites.
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Cited alongside, same era.
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Sun, D.; Yang, X.; Liu, M.-Y.; and Kautz, J. 2018 · 2018
Cited alongside, same era.
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Hur, J.; and Roth, S. 2019 · 2019
Cited alongside, same era.
Deep Flow-Guided Video Inpainting
Xu, R.; Li, X.; Zhou, B.; and Loy, C. C. 2019 · 2019
Cited alongside, same era.
Volumetric Correspondence Networks for Optical Flow
Yang, G.; and Ramanan, D. 2019 · 2019
Cited alongside, same era.
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Yin, Z.; Darrell, T.; and Yu, F. 2019 · 2019
Cited alongside, same era.
ScopeFlow: Dynamic Scene Scoping for Optical Flow
Bar-Haim, A.; and Wolf, L. 2020 · 2020
Cited alongside, same era.
Teed, Z.; and Deng, J. 2020 · 2020
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Optical Flow in Deep Visual Tracking
Vihlman, M.; and Visala, A. 2020 · 2020
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Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
Wang, J.; Zhong, Y.; Dai, Y.; Zhang, K.; Ji, P.; and Li, H. 2020 · 2020
Later among the works it cites.
View-GCN: View-based graph convolutional network for 3D shape analysis
Wei, X.; Yu, R.; and Sun, J. 2020 · 2020
Later among the works it cites.
Robust Scene Parsing by Mining Supportive Knowledge From Dataset
Luo, A.; Yang, F.; Li, X.; Li, Y.; Jiao, Z.; Cheng, H.; and Lyu, S. 2021 · 2021
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Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering
Park, J.; Lee, J.; and Sohn, K. 2021 · 2021
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Squeeze-and-Excitation Networks
Hu, J.; Shen, L.; Albanie, S.; Sun, G.; and Wu, E. 2020 · 2023
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