default search action
Pavel Tokmakov
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c24]Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick:
pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CVPR 2024: 3931-3940 - [c23]Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov:
Understanding Video Transformers via Universal Concept Discovery. CVPR 2024: 10946-10956 - [c22]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. ECCV (24) 2024: 313-331 - [c21]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: 4916-4923 - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus:
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. CoRR abs/2409.09896 (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
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
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
One click mining: interactive local pattern discovery through implicit preference and performance learning. IDEA@KDD 2013: 27-35
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: