Pavel Tokmakov

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 48

Top Venues

Grenoble Alpes University, France (PHD)

Education History

Grenoble Alpes University, France

PHD

Publications

Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. ICRA (2024)
Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick
pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CoRR (2024)
Junbang Liang, Ruoshi Liu, Ege Ozguroglu, Sruthi Sudhakar, Achal Dave, Pavel Tokmakov, Shuran Song, Carl Vondrick
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation. CoRR (2024)
Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
Understanding Video Transformers via Universal Concept Discovery. CoRR (2024)
Basile Van Hoorick, Rundi Wu, Ege Ozguroglu, Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, Carl Vondrick
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis. CoRR (2024)
Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Object Discovery from Motion-Guided Tokens. CoRR (2023)
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CVPR (2023)
Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick
Zero-1-to-3: Zero-shot One Image to 3D Object. ICCV (2023)
Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick
Tracking Through Containers and Occluders in the Wild. CVPR (2023)
Pavel Tokmakov, Jie Li, Adrien Gaidon
Breaking the "Object" in Video Object Segmentation. CVPR (2023)
Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick
Tracking through Containers and Occluders in the Wild. CoRR (2023)
Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. CoRR (2023)
Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Object Discovery from Motion-Guided Tokens. CVPR (2023)
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CoRR (2023)
Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick
Zero-1-to-3: Zero-shot One Image to 3D Object. CoRR (2023)
Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Discovering Objects that Can Move. CVPR (2022)
Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Discovering Objects that Can Move. CoRR (2022)
Pavel Tokmakov, Jie Li, Adrien Gaidon
Breaking the "Object" in Video Object Segmentation. CoRR (2022)
Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
Object Permanence Emerges in a Random Walk along Memory. CoRR (2022)
Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. IROS (2022)
Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
Object Permanence Emerges in a Random Walk along Memory. ICML (2022)
Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. CoRR (2021)
Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
Learning to Track with Object Permanence. ICCV (2021)
Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
Learning to Track with Object Permanence. CoRR (2021)
Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert
Unlocking the Full Potential of Small Data With Diverse Supervision. CVPR Workshops (2021)
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
TAO: A Large-Scale Benchmark for Tracking Any Object. ECCV (5) (2020)
Pavel Tokmakov, Martial Hebert, Cordelia Schmid
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. CoRR (2020)
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
TAO: A Large-Scale Benchmark for Tracking Any Object. CoRR (2020)
Pavel Tokmakov, Martial Hebert, Cordelia Schmid
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. ECCV Workshops (2) (2020)
Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid
A Study on Action Detection in the Wild. CoRR (2019)
Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid
A Structured Model for Action Detection. CVPR (2019)
Pavel Tokmakov, Cordelia Schmid, Karteek Alahari
Learning to Segment Moving Objects. Int. J. Comput. Vis. 127 (3) (2019)
Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert
Learning Generalizable Representations via Diverse Supervision. CoRR (2019)
Ishan Nigam, Pavel Tokmakov, Deva Ramanan
Towards Latent Attribute Discovery From Triplet Similarities. ICCV (2019)
Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert
Learning Compositional Representations for Few-Shot Recognition. ICCV (2019)
Achal Dave, Pavel Tokmakov, Deva Ramanan
Towards Segmenting Anything That Moves. ICCV Workshops (2019)
Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
Learning to Track Any Object. CoRR (2019)
Achal Dave, Pavel Tokmakov, Deva Ramanan
Towards Segmenting Everything That Moves. CoRR (2019)
Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert
Learning Compositional Representations for Few-Shot Recognition. CoRR (2018)
Yubo Zhang, Pavel Tokmakov, Cordelia Schmid, Martial Hebert
A Structured Model For Action Detection. CoRR (2018)
Pavel Tokmakov, Cordelia Schmid, Karteek Alahari
Learning to Segment Moving Objects. CoRR (2017)
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Learning Video Object Segmentation with Visual Memory. CoRR (2017)
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Learning Video Object Segmentation with Visual Memory. ICCV (2017)
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Learning Motion Patterns in Videos. CVPR (2017)
Kristian Kersting, Martin Mladenov, Pavel Tokmakov
Relational linear programming. Artif. Intell. 244 (2017)
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Learning Motion Patterns in Videos. CoRR (2016)
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Weakly-Supervised Semantic Segmentation Using Motion Cues. ECCV (4) (2016)
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Weakly-Supervised Semantic Segmentation using Motion Cues. CoRR (2016)
Kristian Kersting, Martin Mladenov, Pavel Tokmakov
Relational Linear Programs. CoRR (2014)
Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, Stefan Wrobel
One click mining: interactive local pattern discovery through implicit preference and performance learning. IDEA@KDD (2013)

Pavel Tokmakov.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

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Pavel Tokmakov