Stebėti
Heng Wang
Heng Wang
Nvidia
Patvirtintas el. paštas fb.com - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Action recognition with improved trajectories
H Wang, C Schmid
Proceedings of the IEEE international conference on computer vision, 3551-3558, 2013
41902013
Action Recognition by Dense Trajectories
Heng Wang, Alexander Klaser, Cordelia Schmid, Cheng-Lin Liu
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2011
4052*2011
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
37462018
Is space-time attention all you need for video understanding?
G Bertasius, H Wang, L Torresani
ICML 2 (3), 4, 2021
22482021
Dense trajectories and motion boundary descriptors for action recognition
H Wang, A Kläser, C Schmid, CL Liu
International journal of computer vision 103, 60-79, 2013
21232013
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
17982009
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
7302019
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
3902019
A robust and efficient video representation for action recognition
H Wang, D Oneata, J Verbeek, C Schmid
International journal of computer vision 119, 219-238, 2016
3692016
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
1632020
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
W Wang, M Feiszli, H Wang, D Tran
arXiv preprint arXiv:2104.04691, 2021
1312021
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
1182013
R2former: Unified retrieval and reranking transformer for place recognition
S Zhu, L Yang, C Chen, M Shah, X Shen, H Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
862023
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
842019
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
772020
Interactive Prototype Learning for Egocentric Action Recognition
X Wang, L Zhu, H Wang, Y Yang
ICCV 2021, 2021
732021
PyTorchVideo: A Deep Learning Library for Video Understanding
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li ...
Proceedings of the 29th ACM International Conference on Multimedia, 2021
582021
The AXES submissions at TrecVid 2013
R Aly, R Arandjelovic, K Chatfield, M Douze, B Fernando, Z Harchaoui, ...
57*2013
Gpt-4v (ision) as a generalist evaluator for vision-language tasks
X Zhang, Y Lu, W Wang, A Yan, J Yan, L Qin, H Wang, X Yan, WY Wang, ...
arXiv preprint arXiv:2311.01361, 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
512022
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20