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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
2852017
Learning motion patterns in videos
P Tokmakov, K Alahari, C Schmid
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2492017
Learning compositional representations for few-shot recognition
P Tokmakov, YX Wang, M Hebert
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
802019
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
712013
Weakly-supervised semantic segmentation using motion cues
P Tokmakov, K Alahari, C Schmid
European Conference on Computer Vision, 388-404, 2016
68*2016
Learning to segment moving objects
P Tokmakov, C Schmid, K Alahari
International Journal of Computer Vision 127 (3), 282-301, 2019
672019
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
622019
Towards segmenting anything that moves
A Dave, P Tokmakov, D Ramanan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
46*2019
Tao: A large-scale benchmark for tracking any object
A Dave, T Khurana, P Tokmakov, C Schmid, D Ramanan
European conference on computer vision, 436-454, 2020
432020
Relational linear programming
K Kersting, M Mladenov, P Tokmakov
Artificial Intelligence 244, 188-216, 2017
26*2017
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
232021
Unsupervised learning of video representations via dense trajectory clustering
P Tokmakov, M Hebert, C Schmid
European Conference on Computer Vision, 404-421, 2020
132020
A study on action detection in the wild
Y Zhang, P Tokmakov, M Hebert, C Schmid
arXiv preprint arXiv:1904.12993, 2019
102019
Heterogeneous-agent trajectory forecasting incorporating class uncertainty
B Ivanovic, KH Lee, P Tokmakov, B Wulfe, R McAllister, A Gaidon, ...
arXiv preprint arXiv:2104.12446, 2021
72021
Learning to track any object
A Dave, P Tokmakov, C Schmid, D Ramanan
arXiv preprint arXiv:1910.11844, 2019
52019
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
52019
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
22022
Systems and methods for trajectory forecasting according to semantic category uncertainty
B Ivanovic, KH Lee, J Li, AD Gaidon, P Tokmakov
US Patent App. 17/112,292, 2022
2022
Object Permanence Emerges in a Random Walk along Memory
P Tokmakov, A Jabri, J Li, A Gaidon
arXiv preprint arXiv:2204.01784, 2022
2022
Unlocking the Full Potential of Small Data with Diverse Supervision
Z Pang, Z Hu, P Tokmakov, YX Wang, M Hebert
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
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