| Temporal action localization in untrimmed videos via multi-stage cnns Z Shou, D Wang, SF Chang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 1033 | 2016 |
| Cdc: Convolutional-de-convolutional networks for precise temporal action localization in untrimmed videos Z Shou, J Chan, A Zareian, K Miyazawa, SF Chang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 638 | 2017 |
| Convnet architecture search for spatiotemporal feature learning D Tran, J Ray, Z Shou, SF Chang, M Paluri arXiv preprint arXiv:1708.05038, 2017 | 453 | 2017 |
| Single shot temporal action detection T Lin, X Zhao, Z Shou Proceedings of the 25th ACM international conference on Multimedia, 988-996, 2017 | 446 | 2017 |
| Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 377 | 2022 |
| Autoloc: Weakly-supervised temporal action localization in untrimmed videos Z Shou, H Gao, L Zhang, K Miyazawa, SF Chang Proceedings of the European Conference on Computer Vision (ECCV), 154-171, 2018 | 275 | 2018 |
| Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation JZ Wu, Y Ge, X Wang, SW Lei, Y Gu, Y Shi, W Hsu, Y Shan, X Qie, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 150 | 2023 |
| Low-shot learning via covariance-preserving adversarial augmentation networks H Gao, Z Shou, A Zareian, H Zhang, SF Chang Advances in Neural Information Processing Systems 31, 2018 | 144 | 2018 |
| Deep tensor admm-net for snapshot compressive imaging J Ma, XY Liu, Z Shou, X Yuan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 137 | 2019 |
| Dmc-net: Generating discriminative motion cues for fast compressed video action recognition Z Shou, X Lin, Y Kalantidis, L Sevilla-Lara, M Rohrbach, SF Chang, Z Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 131 | 2019 |
| Actor-context-actor relation network for spatio-temporal action localization J Pan, S Chen, MZ Shou, Y Liu, J Shao, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 124 | 2021 |
| Sf-net: Single-frame supervision for temporal action localization F Ma, L Zhu, Y Yang, S Zha, G Kundu, M Feiszli, Z Shou Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 123 | 2020 |
| Is someone speaking? exploring long-term temporal features for audio-visual active speaker detection R Tao, Z Pan, RK Das, X Qian, MZ Shou, H Li Proceedings of the 29th ACM International Conference on Multimedia, 3927-3935, 2021 | 113 | 2021 |
| All in one: Exploring unified video-language pre-training J Wang, Y Ge, R Yan, Y Ge, KQ Lin, S Tsutsui, X Lin, G Cai, J Wu, Y Shan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 107 | 2023 |
| Online detection of action start in untrimmed, streaming videos Z Shou, J Pan, J Chan, K Miyazawa, H Mansour, A Vetro, X Giro-i-Nieto, ... Proceedings of the European Conference on Computer Vision (ECCV), 534-551, 2018 | 102* | 2018 |
| Channel augmented joint learning for visible-infrared recognition M Ye, W Ruan, B Du, MZ Shou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 95 | 2021 |
| Temporal convolution based action proposal: Submission to activitynet 2017 T Lin, X Zhao, Z Shou arXiv preprint arXiv:1707.06750, 2017 | 75 | 2017 |
| CDSA: cross-dimensional self-attention for multivariate, geo-tagged time series imputation J Ma, Z Shou, A Zareian, H Mansour, A Vetro, SF Chang arXiv preprint arXiv:1905.09904, 2019 | 64 | 2019 |
| Object-aware video-language pre-training for retrieval J Wang, Y Ge, G Cai, R Yan, X Lin, Y Shan, X Qie, MZ Shou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 57 | 2022 |
| Generic Event Boundary Detection: A Benchmark for Event Segmentation MZ Shou, SW Lei, W Wang, D Ghadiyaram, M Feiszli arXiv preprint arXiv:2101.10511, 2021 | 56 | 2021 |
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia UniversityVerified email at columbia.edu
