| Action recognition with improved trajectories H Wang, C Schmid Proceedings of the IEEE international conference on computer vision, 3551-3558, 2013 | 4094 | 2013 |
| 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 | 3991* | 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 | 3389 | 2018 |
| 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 | 2069 | 2013 |
| Is space-time attention all you need for video understanding? G Bertasius, H Wang, L Torresani ICML 2 (3), 4, 2021 | 1831 | 2021 |
| 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 | 1787 | 2009 |
| 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 | 677 | 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 | 369 | 2019 |
| 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 | 357 | 2016 |
| 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 | 157 | 2020 |
| 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 | 118 | 2013 |
| Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation W Wang, M Feiszli, H Wang, D Tran arXiv preprint arXiv:2104.04691, 2021 | 114 | 2021 |
| 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 | 78 | 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 | 74 | 2020 |
| Interactive Prototype Learning for Egocentric Action Recognition X Wang, L Zhu, H Wang, Y Yang ICCV 2021, 2021 | 64 | 2021 |
| The AXES submissions at TrecVid 2013 R Aly, R Arandjelovic, K Chatfield, M Douze, B Fernando, Z Harchaoui, ... | 56* | 2013 |
| 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 | 50 | 2023 |
| 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 | 46 | 2021 |
| 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 | 43 | 2022 |
| 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 | 42 | 2020 |
Lorenzo TorresaniMeta, Fundamental AI Research (FAIR)在 meta.com 的电子邮件经过验证
