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
2622017
Learning motion patterns in videos
P Tokmakov, K Alahari, C Schmid
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2272017
Weakly-supervised semantic segmentation using motion cues
P Tokmakov, K Alahari, C Schmid
European Conference on Computer Vision, 388-404, 2016
66*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
662013
Learning to segment moving objects
P Tokmakov, C Schmid, K Alahari
International Journal of Computer Vision 127 (3), 282-301, 2019
582019
Learning compositional representations for few-shot recognition
P Tokmakov, YX Wang, M Hebert
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
582019
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
532019
Towards segmenting anything that moves
A Dave, P Tokmakov, D Ramanan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
402019
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
312020
Relational linear programming
K Kersting, M Mladenov, P Tokmakov
Artificial Intelligence 244, 188-216, 2017
26*2017
Unsupervised learning of video representations via dense trajectory clustering
P Tokmakov, M Hebert, C Schmid
European Conference on Computer Vision, 404-421, 2020
112020
A study on action detection in the wild
Y Zhang, P Tokmakov, M Hebert, C Schmid
arXiv preprint arXiv:1904.12993, 2019
92019
Learning to Track with Object Permanence
P Tokmakov, J Li, W Burgard, A Gaidon
arXiv preprint arXiv:2103.14258, 2021
82021
Learning to track any object
A Dave, P Tokmakov, C Schmid, D Ramanan
arXiv preprint arXiv:1910.11844, 2019
42019
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
32021
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
12019
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
Learning Generalizable Representations via Diverse Supervision
Z Pang, Z Hu, P Tokmakov, YX Wang, M Hebert
arXiv e-prints, arXiv: 1911.12911, 2019
2019
Self-Supervised Robot Learning
DP Gandhi
Carnegie Mellon University Pittsburgh, PA, 2019
2019
Learning from motion
P Tokmakov
Université Grenoble Alpes, 2018
2018
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Articles 1–20