One click mining: interactive local pattern discovery through implicit preference and performance learning. - Mario Boley; Michael Mampaey; Bo Kang; Pavel Tokmakov; Stefan Wrobel (IDEA@KDD, 2013)

Relational Linear Programs. - Kristian Kersting; Martin Mladenov; Pavel Tokmakov (CoRR, 2014)

Weakly-Supervised Semantic Segmentation Using Motion Cues. - Pavel Tokmakov; Karteek Alahari; Cordelia Schmid (ECCV (4), 2016)

Learning Motion Patterns in Videos. - Pavel Tokmakov; Karteek Alahari; Cordelia Schmid (CVPR, 2017)

Learning Video Object Segmentation with Visual Memory. - Pavel Tokmakov; Karteek Alahari; Cordelia Schmid (ICCV, 2017)

Relational linear programming. - Kristian Kersting; Martin Mladenov; Pavel Tokmakov (Artif. Intell., 2017)

Learning from motion. (Apprentissage à partir du mouvement). - Pavel Tokmakov (2018)

A Structured Model for Action Detection. - Yubo Zhang; Pavel Tokmakov; Martial Hebert; Cordelia Schmid (CVPR, 2019)

Towards Latent Attribute Discovery From Triplet Similarities. - Ishan Nigam; Pavel Tokmakov; Deva Ramanan (ICCV, 2019)

Learning Compositional Representations for Few-Shot Recognition. - Pavel Tokmakov; Yu-Xiong Wang; Martial Hebert (ICCV, 2019)

Towards Segmenting Anything That Moves. - Achal Dave; Pavel Tokmakov; Deva Ramanan (ICCV Workshops, 2019)

Towards Segmenting Everything That Moves. - Achal Dave; Pavel Tokmakov; Deva Ramanan (CoRR, 2019)

A Study on Action Detection in the Wild. - Yubo Zhang; Pavel Tokmakov; Martial Hebert; Cordelia Schmid (CoRR, 2019)

Learning to Track Any Object. - Achal Dave; Pavel Tokmakov; Cordelia Schmid; Deva Ramanan (CoRR, 2019)

Learning Generalizable Representations via Diverse Supervision. - Ziqi Pang; Zhiyuan Hu; Pavel Tokmakov; Yu-Xiong Wang; Martial Hebert (CoRR, 2019)

Learning to Segment Moving Objects. - Pavel Tokmakov; Cordelia Schmid; Karteek Alahari (Int. J. Comput. Vis., 2019)

TAO: A Large-Scale Benchmark for Tracking Any Object. - Achal Dave; Tarasha Khurana; Pavel Tokmakov; Cordelia Schmid; Deva Ramanan (ECCV (5), 2020)

Unsupervised Learning of Video Representations via Dense Trajectory Clustering. - Pavel Tokmakov; Martial Hebert; Cordelia Schmid (ECCV Workshops (2), 2020)

Unlocking the Full Potential of Small Data With Diverse Supervision. - Ziqi Pang; Zhiyuan Hu; Pavel Tokmakov; Yu-Xiong Wang; Martial Hebert (CVPR Workshops, 2021)

Learning to Track with Object Permanence. - Pavel Tokmakov; Jie Li 031; Wolfram Burgard; Adrien Gaidon (ICCV, 2021)

Discovering Objects that Can Move. - Zhipeng Bao; Pavel Tokmakov; Allan Jabri; Yu-Xiong Wang; Adrien Gaidon; Martial Hebert (CVPR, 2022)

Object Permanence Emerges in a Random Walk along Memory. - Pavel Tokmakov; Allan Jabri; Jie Li 031; Adrien Gaidon (ICML, 2022)

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. - Boris Ivanovic; Kuan-Hui Lee; Pavel Tokmakov; Blake Wulfe; Rowan McAllister; Adrien Gaidon; Marco Pavone 001 (IROS, 2022)

Object Discovery from Motion-Guided Tokens. - Zhipeng Bao; Pavel Tokmakov; Yu-Xiong Wang; Adrien Gaidon; Martial Hebert (CVPR, 2023)

Tracking Through Containers and Occluders in the Wild. - Basile Van Hoorick; Pavel Tokmakov; Simon Stent; Jie Li; Carl Vondrick (CVPR, 2023)

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. - Ziqi Pang; Jie Li 031; Pavel Tokmakov; Dian Chen 005; Sergey Zagoruyko; Yu-Xiong Wang (CVPR, 2023)

Breaking the "Object" in Video Object Segmentation. - Pavel Tokmakov; Jie Li 031; Adrien Gaidon (CVPR, 2023)

Zero-1-to-3: Zero-shot One Image to 3D Object. - Ruoshi Liu; Rundi Wu; Basile Van Hoorick; Pavel Tokmakov; Sergey Zakharov; Carl Vondrick (ICCV, 2023)

Dreamitate: Real-World Visuomotor Policy Learning via Video Generation. - Junbang Liang; Ruoshi Liu; Ege Ozguroglu; Sruthi Sudhakar; Achal Dave; Pavel Tokmakov; Shuran Song; Carl Vondrick (CoRL, 2024)

Understanding Video Transformers via Universal Concept Discovery. - Matthew Kowal; Achal Dave; Rares Ambrus; Adrien Gaidon; Konstantinos G. Derpanis; Pavel Tokmakov (CVPR, 2024)

pix2gestalt: Amodal Segmentation by Synthesizing Wholes. - Ege Ozguroglu; Ruoshi Liu; Dídac Surís; Dian Chen 005; Achal Dave; Pavel Tokmakov; Carl Vondrick (CVPR, 2024)

Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis. - Basile Van Hoorick; Rundi Wu; Ege Ozguroglu; Kyle Sargent; Ruoshi Liu; Pavel Tokmakov; Achal Dave; Changxi Zheng; Carl Vondrick (ECCV (24), 2024)

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. - Matej Kristan; Jirí Matas; Pavel Tokmakov; Michael Felsberg; Luka Cehovin Zajc; Alan Lukezic; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; Hyung Jin Chang; Gustavo Fernández; Minasadat Attari; et al. (ECCV Workshops (7), 2024)

Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. - Wen-Hsuan Chu; Adam W. Harley; Pavel Tokmakov; Achal Dave; Leonidas J. Guibas; Katerina Fragkiadaki (ICRA, 2024)

ReferEverything: Towards Segmenting Everything We Can Speak of in Videos. - Anurag Bagchi; Zhipeng Bao; Yu-Xiong Wang; Pavel Tokmakov; Martial Hebert (CoRR, 2024)

GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. - Vitor Guizilini; Pavel Tokmakov; Achal Dave; Rares Ambrus (3DV, 2025)

Robust Multi-Object 4D Generation for In-the-wild Videos. - Wen-Hsuan Chu; Lei Ke; Jianmeng Liu; Mingxiao Huo; Pavel Tokmakov; Katerina Fragkiadaki (CVPR, 2025)

Understanding Complexity in VideoQA via Visual Program Generation. - Cristóbal Eyzaguirre; Igor Vasiljevic; Achal Dave; Jiajun Wu 001; Rares Andrei Ambrus; Thomas Kollar; Juan Carlos Niebles; Pavel Tokmakov (CoRR, 2025)

AllTracker: Efficient Dense Point Tracking at High Resolution. - Adam W. Harley; Yang You 004; Xinglong Sun; Yang Zheng; Nikhil Raghuraman; Yunqi Gu; Sheldon Liang; Wen-Hsuan Chu; Achal Dave; Pavel Tokmakov; Suya You; Rares Ambrus; et al. (CoRR, 2025)

Generative 4D Scene Gaussian Splatting with Object View-Synthesis Priors. - Wen-Hsuan Chu; Lei Ke; Jianmeng Liu; Mingxiao Huo; Pavel Tokmakov; Katerina Fragkiadaki (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)

Video Generators are Robot Policies. - Junbang Liang; Pavel Tokmakov; Ruoshi Liu; Sruthi Sudhakar; Paarth Shah; Rares Ambrus; Carl Vondrick (CoRR, 2025)