关注
Pavel Tokmakov
Pavel Tokmakov
ML Research Scientist, TRI
在 tri.global 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Zero-1-to-3: Zero-shot one image to 3d object
R Liu, R Wu, B Van Hoorick, P Tokmakov, S Zakharov, C Vondrick
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
4292023
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
3752017
Learning motion patterns in videos
P Tokmakov, K Alahari, C Schmid
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3102017
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
1902021
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
1462020
Learning compositional representations for few-shot recognition
P Tokmakov, YX Wang, M Hebert
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1312019
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
1082019
Learning to segment moving objects
P Tokmakov, C Schmid, K Alahari
International Journal of Computer Vision 127, 282-301, 2019
1062019
Towards segmenting anything that moves
A Dave, P Tokmakov, D Ramanan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
90*2019
Weakly-supervised semantic segmentation using motion cues
P Tokmakov, K Alahari, C Schmid
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
81*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
762013
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
422022
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
362022
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
342023
Relational linear programming
K Kersting, M Mladenov, P Tokmakov
Artificial Intelligence 244, 188-216, 2017
29*2017
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
242020
Breaking the" Object" in Video Object Segmentation
P Tokmakov, J Li, A Gaidon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
222023
A study on action detection in the wild
Y Zhang, P Tokmakov, M Hebert, C Schmid
arXiv preprint arXiv:1904.12993, 2019
152019
Object permanence emerges in a random walk along memory
P Tokmakov, A Jabri, J Li, A Gaidon
arXiv preprint arXiv:2204.01784, 2022
142022
Learning to track any object
A Dave, P Tokmakov, C Schmid, D Ramanan
arXiv preprint arXiv:1910.11844, 2019
132019
系统目前无法执行此操作,请稍后再试。
文章 1–20