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Pavel Tokmakov
Pavel Tokmakov
ML Research Scientist, TRI
Verified email at tri.global - Homepage
Title
Cited by
Cited by
Year
Learning video object segmentation with visual memory
P Tokmakov, K Alahari, C Schmid
Proceedings of the IEEE International Conference on Computer Vision, 4481-4490, 2017
3322017
Learning motion patterns in videos
P Tokmakov, K Alahari, C Schmid
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2782017
Learning to track with object permanence
P Tokmakov, J Li, W Burgard, A Gaidon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1022021
Learning compositional representations for few-shot recognition
P Tokmakov, YX Wang, M Hebert
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1012019
Tao: A large-scale benchmark for tracking any object
A Dave, T Khurana, P Tokmakov, C Schmid, D Ramanan
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
922020
A structured model for action detection
Y Zhang, P Tokmakov, M Hebert, C Schmid
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
882019
Learning to segment moving objects
P Tokmakov, C Schmid, K Alahari
International Journal of Computer Vision 127, 282-301, 2019
842019
Weakly-supervised semantic segmentation using motion cues
P Tokmakov, K Alahari, C Schmid
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
77*2016
One click mining: Interactive local pattern discovery through implicit preference and performance learning
M Boley, M Mampaey, B Kang, P Tokmakov, S Wrobel
Proceedings of the ACM SIGKDD workshop on interactive data exploration and …, 2013
732013
Towards segmenting anything that moves
A Dave, P Tokmakov, D Ramanan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
66*2019
Relational linear programming
K Kersting, M Mladenov, P Tokmakov
Artificial Intelligence 244, 188-216, 2017
26*2017
Heterogeneous-agent trajectory forecasting incorporating class uncertainty
B Ivanovic, KH Lee, P Tokmakov, B Wulfe, R Mcllister, A Gaidon, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
202022
Unsupervised learning of video representations via dense trajectory clustering
P Tokmakov, M Hebert, C Schmid
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
202020
A study on action detection in the wild
Y Zhang, P Tokmakov, M Hebert, C Schmid
arXiv preprint arXiv:1904.12993, 2019
132019
Discovering objects that can move
Z Bao, P Tokmakov, A Jabri, YX Wang, A Gaidon, M Hebert
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
122022
Learning to track any object
A Dave, P Tokmakov, C Schmid, D Ramanan
arXiv preprint arXiv:1910.11844, 2019
92019
Towards latent attribute discovery from triplet similarities
I Nigam, P Tokmakov, D Ramanan
Proceedings of the IEEE/CVF International Conference on Computer Vision, 402-410, 2019
92019
Zero-1-to-3: Zero-shot one image to 3d object
R Liu, R Wu, B Van Hoorick, P Tokmakov, S Zakharov, C Vondrick
arXiv preprint arXiv:2303.11328, 2023
52023
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking
Z Pang, J Li, P Tokmakov, D Chen, S Zagoruyko, YX Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
32023
Object Permanence Emerges in a Random Walk along Memory
P Tokmakov, A Jabri, J Li, A Gaidon
arXiv preprint arXiv:2204.01784, 2022
22022
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