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Recent approaches to point tracking are able to recover the trajectory of any scene point through a large portion of a video despite the presence of occlusions.
Determining optical flow
Berthold KP Horn and Brian G Schunck · 1981
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An iterative image registration technique with an application to stereo vision
Bruce D Lucas and Takeo Kanade · 1981
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The laplacian pyramid as a compact image code
Peter J Burt and Edward H Adelson · 1983
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Nick Kanopoulos, Nagesh Vasanthavada, and Robert L Baker · 1988
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A computational framework and an algorithm for the measurement of visual motion
Padmanabhan Anandan · 1989
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Hierarchical estimation and segmentation of dense motion fields
Etienne Mémin and Patrick Pérez · 2002
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Robust optical flow estimation based on a sparse motion trajectory set
David Gibson and Michael Spann · 2003
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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Optical flow estimation using temporally oversampled video
SukHwan Lim, John G Apostolopoulos, and AE Gamal · 2005
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Highly accurate optic flow computation with theoretically justified warping
Nils Papenberg, Andrés Bruhn, Thomas Brox, Stephan Didas, and Joachim Weickert · 2006
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Particle video: Long-range motion estimation using point trajectories
Peter Sand and Seth Teller · 2008
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PatchMatch: A randomized correspondence algorithm for structural image editing
Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B Goldman · 2009
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Large displacement optical flow computation without warping
Frank Steinbrücker, Thomas Pock, and Daniel Cremers · 2009
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Large displacement optical flow: descriptor matching in variational motion estimation
Thomas Brox and Jitendra Malik · 2010
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A naturalistic open source movie for optical flow evaluation
Daniel J Butler, Jonas Wulff, Garrett B Stanley, and Michael J Black · 2012
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From optical flow to dense long term correspondences
Tomas Crivelli, Pierre-Henri Conze, Philippe Robert, and Patrick Pérez · 2012
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Efficient nonlocal regularization for optical flow
Philipp Krähenbühl and Vladlen Koltun · 2012
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Large displacement optical flow from nearest neighbor fields
Zhuoyuan Chen, Hailin Jin, Zhe Lin, Scott Cohen, and Ying Wu · 2013
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Deepflow: Large displacement optical flow with deep matching
Philippe Weinzaepfel, Jerome Revaud, Zaid Harchaoui, and Cordelia Schmid · 2013
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On the properties of neural machine translation: Encoder-decoder approaches
Kyunghyun Cho, Bart Van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio · 2014
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Robust optical flow integration
Tomas Crivelli, Matthieu Fradet, Pierre-Henri Conze, Philippe Robert, and Patrick Pérez · 2014
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Non-local total generalized variation for optical flow estimation
René Ranftl, Kristian Bredies, and Thomas Pock · 2014
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Flow fields: Dense correspondence fields for highly accurate large displacement optical flow estimation
Christian Bailer, Bertram Taetz, and Didier Stricker · 2015
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Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Optical flow modeling and computation: A survey
Denis Fortun, Patrick Bouthemy, and Charles Kervrann · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 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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Efficient sparse-to-dense optical flow estimation using a learned basis and layers
Jonas Wulff and Michael J Black · 2015
Cited alongside, same era.
Efficient coarse-to-fine patchmatch for large displacement optical flow
Yinlin Hu, Rui Song, and Yunsong Li · 2016
Cited alongside, same era.
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, and Thomas Brox · 2016
Beyond pick-and-place: Tackling robotic stacking of diverse shapes
Alex X Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, et al · 2021
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Self-supervised video object segmentation by motion grouping
Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, and Weidi Xie · 2021
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Implicit motion handling for video camouflaged object detection
Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, and Zongyuan Ge · 2022
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Tap-vid: A benchmark for tracking any point in a video
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, and Yi Yang · 2022
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Kubric: A scalable dataset generator
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, et al · 2022
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Cited alongside, same era.
A benchmark dataset and evaluation methodology for video object segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung · 2016
Cited alongside, same era.
Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
Cited alongside, same era.
Robust interpolation of correspondences for large displacement optical flow
Yinlin Hu, Yunsong Li, and Rui Song · 2017
Cited alongside, same era.
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
Cited alongside, same era.
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
Cited alongside, same era.
Optical flow estimation using a spatial pyramid network
Anurag Ranjan and Michael J. Black · 2017
Cited alongside, same era.
Particle video revisited: Tracking through occlusions using point trajectories
Adam W Harley, Zhaoyuan Fang, and Katerina Fragkiadaki · 2022
Later among the works it cites.
Perceiver io: A general architecture for structured inputs & outputs
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, et al · 2022
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Towards an end-to-end framework for flow-guided video inpainting
Zhen Li, Cheng-Ze Lu, Jianhua Qin, Chun-Le Guo, and Ming-Ming Cheng · 2022
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Craft: Cross-attentional flow transformer for robust optical flow
Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Goh, and Hongyuan Zhu · 2022
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GMFlow: Learning optical flow via global matching
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, and Dacheng Tao · 2022
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Deformable sprites for unsupervised video decomposition
Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, and Noah Snavely · 2022
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Doppelgangers: Learning to disambiguate images of similar structures
Ruojin Cai, Joseph Tung, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, and Noah Snavely · 2023
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TAPIR: Tracking any point with per-frame initialization and temporal refinement
Carl Doersch, Yi Yang, Mel Vecerik, Dilara Gokay, Ankush Gupta, Yusuf Aytar, Joao Carreira, and Andrew Zisserman · 2023
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CoTracker: It is better to track together
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, and Christian Rupprecht · 2023
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WALDO: Future video synthesis using object layer decomposition and parametric flow prediction
Guillaume Le Moing, Jean Ponce, and Cordelia Schmid · 2023
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AMT: All-pairs multi-field transforms for efficient frame interpolation
Zhen Li, Zuo-Liang Zhu, Ling-Hao Han, Qibin Hou, Chun-Le Guo, and Ming-Ming Cheng · 2023
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LightGlue: Local feature matching at light speed
Philipp Lindenberger, Paul-Edouard Sarlin, and Marc Pollefeys · 2023
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Tracking everything everywhere all at once
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, and Noah Snavely · 2023
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Accflow: Backward accumulation for long-range optical flow
Guangyang Wu, Xiaohong Liu, Kunming Luo, Xi Liu, Qingqing Zheng, Shuaicheng Liu, Xinyang Jiang, Guangtao Zhai, and Wenyi Wang · 2023
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ALIKED: A lighter keypoint and descriptor extraction network via deformable transformation
Xiaoming Zhao, Xingming Wu, Weihai Chen, Peter CY Chen, Qingsong Xu, and Zhengguo Li · 2023
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PointOdyssey: A large-scale synthetic dataset for long-term point tracking
Yang Zheng, Adam W Harley, Bokui Shen, Gordon Wetzstein, and Leonidas J Guibas · 2023
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ProPainter: Improving propagation and transformer for video inpainting
Shangchen Zhou, Chongyi Li, Kelvin CK Chan, and Chen Change Loy · 2023
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Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan · 2024
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MFT: Long-term tracking of every pixel
Michal Neoral, Jonáš Šerỳch, and Jiří Matas · 2024
Closest in time.