| Learning spatiotemporal features with 3d convolutional networks D Tran, L Bourdev, R Fergus, L Torresani, M Paluri 2015 IEEE International Conference on Computer Vision (ICCV), 4489-4497, 2015 | 10677 | 2015 |
| 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 | 3740 | 2018 |
| 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 | 727 | 2019 |
| Cooperative learning of audio and video models from self-supervised synchronization B Korbar, D Tran, L Torresani Advances in Neural Information Processing Systems 31, 2018 | 607* | 2018 |
| 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 | 552 | 2020 |
| Convnet architecture search for spatiotemporal feature learning D Tran, J Ray, Z Shou, SF Chang, M Paluri arXiv preprint arXiv:1708.05038, 2017 | 524 | 2017 |
| C3D: generic features for video analysis D Tran, LD Bourdev, R Fergus, L Torresani, M Paluri CoRR, abs/1412.0767 2 (7), 8, 2014 | 511 | 2014 |
| Self-supervised learning by cross-modal audio-video clustering H Alwassel, D Mahajan, B Korbar, L Torresani, B Ghanem, D Tran Advances in Neural Information Processing Systems 33, 9758-9770, 2020 | 484 | 2020 |
| Human activity recognition with metric learning D Tran, A Sorokin, D Forsyth Computer Vision–ECCV 2008, 548-561, 2008 | 451 | 2008 |
| Building an automatic vehicle license plate recognition system TD Duan, TLH Du, TV Phuoc, NV Hoang Proc. Int. Conf. Comput. Sci. RIVF, 59-63, 2005 | 391 | 2005 |
| 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 | 390 | 2019 |
| Detect-and-track: Efficient pose estimation in videos R Girdhar, G Gkioxari, L Torresani, M Paluri, D Tran Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 305 | 2018 |
| Scsampler: Sampling salient clips from video for efficient action recognition B Korbar, D Tran, L Torresani Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 270 | 2019 |
| Combining Hough transform and contour algorithm for detecting vehicles' license-plates TD Duan, DA Duc, TLH Du Proceedings of 2004 International Symposium on Intelligent Multimedia, Video …, 2004 | 202 | 2004 |
| 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 | 164 | 2020 |
| Flavr: Flow-agnostic video representations for fast frame interpolation T Kalluri, D Pathak, M Chandraker, D Tran Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 153 | 2023 |
| Deep end2end voxel2voxel prediction D Tran, L Bourdev, R Fergus, L Torresani, M Paluri Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 153 | 2016 |
| 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 | 130 | 2021 |
| Video event detection: From subvolume localization to spatiotemporal path search D Tran, J Yuan, D Forsyth IEEE transactions on pattern analysis and machine intelligence 36 (2), 404-416, 2013 | 130 | 2013 |
| Learning temporal pose estimation from sparsely-labeled videos G Bertasius, C Feichtenhofer, D Tran, J Shi, L Torresani Advances in neural information processing systems 32, 2019 | 93 | 2019 |
Lorenzo TorresaniMeta, Fundamental AI Research (FAIR)meta.com의 이메일 확인됨