Heng Wang
Heng Wang
Facebook AI Research
Verified email at fb.com - Homepage
Cited by
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Action recognition with trajectory-pooled deep-convolutional descriptors
L Wang, Y Qiao, X Tang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Action recognition with improved trajectories
H Wang, C Schmid
Proceedings of the IEEE international conference on computer vision, 3551-3558, 2013
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
Evaluation of local spatio-temporal features for action recognition
H Wang, MM Ullah, A Klaser, I Laptev, C Schmid
Bmvc 2009-british machine vision conference, 124.1-124.11, 2009
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
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
Video Classification with Channel-Separated Convolutional Networks
D Tran, H Wang, L Torresani, M Feiszli
Proceedings of the IEEE International Conference on Computer Vision, 5552-5561, 2019
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
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
aser, C. Schmid, and C.-L. Liu,“Action recognition by dense trajectories,”
H Wang
Proc. IEEE Conf. Comput. Vis. Pattern Recognit, 3169-3176, 2011
The AXES submissions at TrecVid 2013
R Aly, R Arandjelovic, K Chatfield, M Douze, B Fernando, Z Harchaoui, ...
Axes at trecvid 2012: Kis, ins, and med
D Oneata, M Douze, J Revaud, S Jochen, D Potapov, H Wang, ...
TRECVID workshop, 2012
Is Space-Time Attention All You Need for Video Understanding?
G Bertasius, H Wang, L Torresani
arXiv preprint arXiv:2102.05095, 2021
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
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
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/CVF Conference on Computer Vision and Pattern …, 2019
FASTER Recurrent Networks for Efficient Video Classification
L Zhu, D Tran, L Sevilla-Lara, Y Yang, M Feiszli, H Wang
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020
Devon: Deformable Volume Network for Learning Optical Flow
Y Lu, J Valmadre, H Wang, J Kannala, M Harandi, PHS Torr
IEEE Winter Conference on Applications of Computer Vision, 2020
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
Boosting incremental semi-supervised discriminant analysis for tracking
H Wang, X Hou, CL Liu
2010 20th International Conference on Pattern Recognition, 2748-2751, 2010
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