Παρακολούθηση
Matt Feiszli
Matt Feiszli
Facebook AI Research
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα fb.com
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Παρατίθεται από
Παρατίθεται από
Έτος
Video classification with channel-separated convolutional networks
D Tran, H Wang, L Torresani, M Feiszli
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
7592019
What makes training multi-modal classification networks hard?
W Wang, D Tran, M Feiszli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
5792020
Large-scale weakly-supervised pre-training for video action recognition
D Ghadiyaram, D Tran, D Mahajan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3992019
Sf-net: Single-frame supervision for temporal action localization
F Ma, L Zhu, Y Yang, S Zha, G Kundu, M Feiszli, Z Shou
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1792020
Video Modeling with Correlation Networks
H Wang, D Tran, L Torresani, M Feiszli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1702020
Unidentified video objects: A benchmark for dense, open-world segmentation
W Wang, M Feiszli, H Wang, D Tran
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1402021
Don't judge an object by its context: Learning to overcome contextual bias
KK Singh, D Mahajan, K Grauman, YJ Lee, M Feiszli, D Ghadiyaram
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1372020
Only time can tell: Discovering temporal data for temporal modeling
L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
922021
Generic event boundary detection: A benchmark for event segmentation
MZ Shou, SW Lei, W Wang, D Ghadiyaram, M Feiszli
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
822021
Faster recurrent networks for efficient video classification
L Zhu, D Tran, L Sevilla-Lara, Y Yang, M Feiszli, H Wang
Proceedings of the AAAI conference on artificial intelligence 34 (07), 13098 …, 2020
782020
PyTorchVideo: A deep learning library for video understanding
H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ...
Proceedings of the 29th ACM international conference on multimedia, 3783-3786, 2021
632021
Silk: Simple learned keypoints
P Gleize, W Wang, M Feiszli
Proceedings of the IEEE/CVF international conference on computer vision …, 2023
542023
Open-world instance segmentation: Exploiting pseudo ground truth from learned pairwise affinity
W Wang, M Feiszli, H Wang, J Malik, D Tran
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
522022
Scenes-objects-actions: A multi-task, multi-label video dataset
J Ray, H Wang, D Tran, Y Wang, M Feiszli, L Torresani, M Paluri
Proceedings of the European conference on computer vision (ECCV), 635-651, 2018
382018
Fp-nas: Fast probabilistic neural architecture search
Z Yan, X Dai, P Zhang, Y Tian, B Wu, M Feiszli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
292021
Geb+: A benchmark for generic event boundary captioning, grounding and retrieval
Y Wang, D Gao, L Yu, W Lei, M Feiszli, MZ Shou
European Conference on Computer Vision, 709-725, 2022
222022
Egotracks: A long-term egocentric visual object tracking dataset
H Tang, KJ Liang, K Grauman, M Feiszli, W Wang
Advances in Neural Information Processing Systems 36, 2024
182024
Relational space-time query in long-form videos
X Yang, FJ Chu, M Feiszli, R Goyal, L Torresani, D Tran
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
122023
Numerical Computation of Weil--Peterson Geodesics in the Universal Teichmüller Space
M Feiszli, A Narayan
SIAM Journal on Imaging Sciences 10 (3), 1322-1345, 2017
122017
Shape representation via conformal mapping
M Feiszli, D Mumford
Computational Imaging V 6498, 133-141, 2007
122007
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