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Pavel Tokmakov
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2020 – today
- 2024
- [i27]Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov:
Understanding Video Transformers via Universal Concept Discovery. CoRR abs/2401.10831 (2024) - [i26]Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick:
pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CoRR abs/2401.14398 (2024) - [i25]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 abs/2405.14868 (2024) - [i24]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 abs/2406.16862 (2024) - 2023
- [c20]Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick:
Tracking Through Containers and Occluders in the Wild. CVPR 2023: 13802-13812 - [c19]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: 17928-17938 - [c18]Pavel Tokmakov, Jie Li, Adrien Gaidon:
Breaking the "Object" in Video Object Segmentation. CVPR 2023: 22836-22845 - [c17]Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Object Discovery from Motion-Guided Tokens. CVPR 2023: 22972-22981 - [c16]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: 9264-9275 - [i23]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 abs/2302.03802 (2023) - [i22]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 abs/2303.11328 (2023) - [i21]Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Object Discovery from Motion-Guided Tokens. CoRR abs/2303.15555 (2023) - [i20]Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick:
Tracking through Containers and Occluders in the Wild. CoRR abs/2305.03052 (2023) - [i19]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 abs/2310.06992 (2023) - 2022
- [c15]Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CVPR 2022: 11779-11788 - [c14]Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon:
Object Permanence Emerges in a Random Walk along Memory. ICML 2022: 21506-21519 - [c13]Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
:
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. IROS 2022: 12196-12203 - [i18]Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CoRR abs/2203.10159 (2022) - [i17]Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon:
Object Permanence Emerges in a Random Walk along Memory. CoRR abs/2204.01784 (2022) - [i16]Pavel Tokmakov, Jie Li, Adrien Gaidon:
Breaking the "Object" in Video Object Segmentation. CoRR abs/2212.06200 (2022) - 2021
- [c12]Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Unlocking the Full Potential of Small Data With Diverse Supervision. CVPR Workshops 2021: 2642-2652 - [c11]Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon:
Learning to Track with Object Permanence. ICCV 2021: 10840-10849 - [i15]Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon:
Learning to Track with Object Permanence. CoRR abs/2103.14258 (2021) - [i14]Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone:
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. CoRR abs/2104.12446 (2021) - 2020
- [c10]Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. ECCV Workshops (2) 2020: 404-421 - [c9]Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
:
TAO: A Large-Scale Benchmark for Tracking Any Object. ECCV (5) 2020: 436-454 - [i13]Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. CoRR abs/2005.10356 (2020) - [i12]Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. CoRR abs/2006.15731 (2020)
2010 – 2019
- 2019
- [j2]Pavel Tokmakov
, Cordelia Schmid, Karteek Alahari:
Learning to Segment Moving Objects. Int. J. Comput. Vis. 127(3): 282-301 (2019) - [c8]Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Structured Model for Action Detection. CVPR 2019: 9975-9984 - [c7]Ishan Nigam, Pavel Tokmakov, Deva Ramanan
:
Towards Latent Attribute Discovery From Triplet Similarities. ICCV 2019: 402-410 - [c6]Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. ICCV 2019: 6371-6380 - [c5]Achal Dave, Pavel Tokmakov, Deva Ramanan
:
Towards Segmenting Anything That Moves. ICCV Workshops 2019: 1493-1502 - [i11]Achal Dave, Pavel Tokmakov, Deva Ramanan:
Towards Segmenting Everything That Moves. CoRR abs/1902.03715 (2019) - [i10]Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Study on Action Detection in the Wild. CoRR abs/1904.12993 (2019) - [i9]Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
Learning to Track Any Object. CoRR abs/1910.11844 (2019) - [i8]Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Generalizable Representations via Diverse Supervision. CoRR abs/1911.12911 (2019) - 2018
- [b1]Pavel Tokmakov:
Learning from motion. (Apprentissage à partir du mouvement). Grenoble Alpes University, France, 2018 - [i7]Yubo Zhang, Pavel Tokmakov, Cordelia Schmid, Martial Hebert:
A Structured Model For Action Detection. CoRR abs/1812.03544 (2018) - [i6]Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. CoRR abs/1812.09213 (2018) - 2017
- [j1]Kristian Kersting, Martin Mladenov, Pavel Tokmakov:
Relational linear programming. Artif. Intell. 244: 188-216 (2017) - [c4]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Motion Patterns in Videos. CVPR 2017: 531-539 - [c3]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Video Object Segmentation with Visual Memory. ICCV 2017: 4491-4500 - [i5]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Video Object Segmentation with Visual Memory. CoRR abs/1704.05737 (2017) - [i4]Pavel Tokmakov, Cordelia Schmid, Karteek Alahari:
Learning to Segment Moving Objects. CoRR abs/1712.01127 (2017) - 2016
- [c2]Pavel Tokmakov, Karteek Alahari
, Cordelia Schmid:
Weakly-Supervised Semantic Segmentation Using Motion Cues. ECCV (4) 2016: 388-404 - [i3]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Weakly-Supervised Semantic Segmentation using Motion Cues. CoRR abs/1603.07188 (2016) - [i2]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Motion Patterns in Videos. CoRR abs/1612.07217 (2016) - 2014
- [i1]Kristian Kersting, Martin Mladenov, Pavel Tokmakov:
Relational Linear Programs. CoRR abs/1410.3125 (2014) - 2013
- [c1]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: 27-35
Coauthor Index
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last updated on 2024-07-23 21:00 CEST by the dblp team
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