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We consider the problem of segmenting objects in videos based on their motion and no other forms of supervision.
Experimentelle studien uber das sehen von bewegung
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Joao Paulo Costeira and Takeo Kanade · 1998
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R. I. Hartley and A. Zisserman · 2004
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A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate
Jingyu Yan and Marc Pollefeys · 2006
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Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
Shankar R Rao, Roberto Tron, René Vidal, and Yi Ma · 2008
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Non-negative matrix factorization of partial track data for motion segmentation
Anil M Cheriyadat and Richard J Radke · 2009
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Clustering point trajectories with various life-spans
Matthieu Fradet, Philippe Robert, and Patrick Pérez · 2009
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Object segmentation by long term analysis of point trajectories
Thomas Brox and Jitendra Malik · 2010
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Multi-subspace representation and discovery
Dijun Luo, Feiping Nie, Chris Ding, and Heng Huang · 2011
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Object segmentation in video: a hierarchical variational approach for turning point trajectories into dense regions
Peter Ochs and Thomas Brox · 2011
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Robust recovery of subspace structures by low-rank representation
Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, and Yi Ma · 2012
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Robust and efficient subspace segmentation via least squares regression
Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, and Shuicheng Yan · 2012
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Higher order motion models and spectral clustering
Peter Ochs and Thomas Brox · 2012
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Topology-constrained layered tracking with latent flow
Jason Chang and John W. Fisher III · 2013
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Sparse subspace clustering: Algorithm, theory, and applications
Ehsan Elhamifar and René Vidal · 2013
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Video segmentation by tracking many figure-ground segments
Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, and James M. Rehg · 2013
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Segmentation of moving objects by long term video analysis
Peter Ochs, Jitendra Malik, and Thomas Brox · 2013
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Fast object segmentation in unconstrained video
Anestis Papazoglou and Vittorio Ferrari · 2013
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Video segmentation by non-local consensus voting
Alon Faktor and Michal Irani · 2014
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Segmentation of moving objects by long term video analysis
Peter Ochs, Jitendra Malik, and Thomas Brox · 2014
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Low rank subspace clustering (lrsc)
René Vidal and Paolo Favaro · 2014
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Motion trajectory segmentation via minimum cost multicuts
Margret Keuper, Bjoern Andres, and Thomas Brox · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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It’s moving! a probabilistic model for causal motion segmentation in moving camera videos
Pia Bideau and Erik Learned-Miller · 2016
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Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion
Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, and Christian Rupprecht · 2022
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Motion-inductive self-supervised object discovery in videos
Shuangrui Ding, Weidi Xie, Yabo Chen, Rui Qian, Xiaopeng Zhang, Hongkai Xiong, and Qi Tian · 2022
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Tap-vid: A benchmark for tracking any point in a video
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adria Recasens Continente, Kucas Smaira, Yusuf Aytar, Joao 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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Particle video revisited: Tracking through occlusions using point trajectories
Adam W Harley, Zhaoyuan Fang, and Katerina Fragkiadaki · 2022
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A multi-cut formulation for joint segmentation and tracking of multiple objects
Margret Keuper, Siyu Tang, Yu Zhongjie, Bjoern Andres, Thomas Brox, and Bernt Schiele · 2016
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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
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A benchmark dataset and evaluation methodology for video object segmentation
F. Perazzi, J. Pont-Tuset, B. McWilliams, L. Van Gool, M. Gross, and A. Sorkine-Hornung · 2016
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Differentiating the singular value decomposition
James Townsend · 2016
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One-shot video object segmentation
Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, and Luc Van Gool · 2017
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Suyog Jain, Bo Xiong, and Kristen Grauman · 2017
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Flowformer: A transformer architecture for optical flow
Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, and Hongsheng Li · 2022
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Unsupervised multi-object segmentation by predicting probable motion patterns
Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, and Andrea Vedaldi · 2022
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Em-driven unsupervised learning for efficient motion segmentation
Etienne Meunier, Anaïs Badoual, and Patrick Bouthemy · 2022
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Simple unsupervised object-centric learning for complex and naturalistic videos
Gautam Singh, Yi-Fu Wu, and Sungjin Ahn · 2022
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Segmenting moving objects via an object-centric layered representation
Jun Xie, Weidi Xie, and Andrew Zisserman · 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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Tapir: Tracking any point with per-frame initialization and temporal refinement
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Divided attention: Unsupervised multi-object discovery with contextually separated slots
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Bootstrapping objectness from videos by relaxed common fate and visual grouping
Long Lian, Zhirong Wu, and Stella X Yu · 2023
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A simple and powerful global optimization for unsupervised video object segmentation
Georgy Ponimatkin, Nermin Samet, Yang Xiao, Yuming Du, Renaud Marlet, and Vincent Lepetit · 2023
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Multi-object discovery by low-dimensional object motion
Sadra Safadoust and Fatma Güney · 2023
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Silky Singh, Shripad Deshmukh, Mausoom Sarkar, and Balaji Krishnamurthy · 2023
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Videocutler: Surprisingly simple unsupervised video instance segmentation
Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, and Trevor Darrell · 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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Self-supervised object-centric learning for videos
Görkay Aydemir, Weidi Xie, and Fatma Guney · 2024
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Bootstap: Bootstrapped training for tracking-any-point
Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, and Andrew Zisserman · 2024
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Object-centric learning for real-world videos by predicting temporal feature similarities
Andrii Zadaianchuk, Maximilian Seitzer, and Georg Martius · 2024
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