Heng Wang
Heng Wang
Facebook AI
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Titel
Zitiert von
Zitiert von
Jahr
Action recognition with improved trajectories
H Wang, C Schmid
Proceedings of the IEEE international conference on computer vision, 3551-3558, 2013
25252013
Action recognition by dense trajectories
H Wang, A Kläser, C Schmid, CL Liu
CVPR 2011, 3169-3176, 2011
22492011
Evaluation of local spatio-temporal features for action recognition
H Wang, MM Ullah, A Klaser, I Laptev, C Schmid
15422009
Dense trajectories and motion boundary descriptors for action recognition
H Wang, A Kläser, C Schmid, CL Liu
International journal of computer vision 103 (1), 60-79, 2013
14602013
A closer look at spatiotemporal convolutions for action recognition
D Tran, H Wang, L Torresani, J Ray, Y LeCun, M Paluri
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018
4792018
A robust and efficient video representation for action recognition
H Wang, D Oneata, J Verbeek, C Schmid
International journal of computer vision 119 (3), 219-238, 2016
2352016
Lear-inria submission for the thumos workshop
H Wang, C Schmid
ICCV workshop on action recognition with a large number of classes 2 (7), 8, 2013
972013
Video Classification with Channel-Separated Convolutional Networks
D Tran, H Wang, L Torresani, M Feiszli
arXiv preprint arXiv:1904.02811, 2019
512019
Large-scale weakly-supervised pre-training for video action recognition
D Ghadiyaram, M Feiszli, D Tran, X Yan, H Wang, D Mahajan
arXiv preprint arXiv:1905.00561, 2019
462019
The AXES submissions at TrecVid 2013
R Aly, R Arandjelovic, K Chatfield, M Douze, B Fernando, Z Harchaoui, ...
44*2013
Axes at trecvid 2012: Kis, ins, and med
D Oneata, M Douze, J Revaud, S Jochen, D Potapov, H Wang, ...
35*2012
SLAC: A sparsely labeled dataset for action classification and localization
H Zhao, Z Yan, H Wang, L Torresani, A Torralba
arXiv preprint arXiv:1712.09374 2, 2017
192017
Scenes-Objects-Actions: A Multi-Task, Multi-Label Video Dataset
J Ray, H Wang, D Tran, Y Wang, M Feiszli, L Torresani, M Paluri
The European Conference on Computer Vision (ECCV), 2018
122018
Leveraging the present to anticipate the future in videos
A Miech, I Laptev, J Sivic, H Wang, L Torresani, D Tran
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
102019
Boosting incremental semi-supervised discriminant analysis for tracking
H Wang, X Hou, CL Liu
2010 20th International Conference on Pattern Recognition, 2748-2751, 2010
62010
Devon: Deformable Volume Network for Learning Optical Flow
Y Lu, J Valmadre, H Wang, J Kannala, M Harandi, PHS Torr
arXiv preprint arXiv:1802.07351, 2018
52018
Video Modeling with Correlation Networks
H Wang, D Tran, L Torresani, M Feiszli
arXiv preprint arXiv:1906.03349, 2019
32019
Faster recurrent networks for video classification
L Zhu, L Sevilla-Lara, D Tran, M Feiszli, Y Yang, H Wang
arXiv preprint arXiv:1906.04226 2, 2019
32019
Object tracking by bidirectional learning with feature selection
H Wang, X Hou, CL Liu
2009 16th IEEE International Conference on Image Processing (ICIP), 893-896, 2009
32009
Anticipating Future Video Based on Present Video
H Wang, A Miech, L Torresani
US Patent App. 16/688,367, 2020
2020
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