| 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 | 555 | 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 | 342 | 2017 |
| Convnet architecture search for spatiotemporal feature learning D Tran, J Ray, Z Shou, SF Chang, M Paluri arXiv preprint arXiv:1708.05038, 2017 | 245 | 2017 |
| Single shot temporal action detection T Lin, X Zhao, Z Shou Proceedings of the 25th ACM international conference on Multimedia, 988-996, 2017 | 190 | 2017 |
| 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 | 102 | 2018 |
| 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 | 52* | 2018 |
| Temporal convolution based action proposal: Submission to activitynet 2017 T Lin, X Zhao, Z Shou arXiv preprint arXiv:1707.06750, 2017 | 47 | 2017 |
| Low-shot learning via covariance-preserving adversarial augmentation networks H Gao, Z Shou, A Zareian, H Zhang, SF Chang arXiv preprint arXiv:1810.11730, 2018 | 44 | 2018 |
| 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 | 35 | 2019 |
| 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 | 28 | 2019 |
| 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 | 7 | 2019 |
| SF-Net: Single-frame supervision for temporal action localization F Ma, L Zhu, Y Yang, S Zha, G Kundu, M Feiszli, Z Shou European Conference on Computer Vision, 420-437, 2020 | 5 | 2020 |
| A study of transformation-invariances of deep belief networks Z Shou, Y Zhang, HJ Cai The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 5 | 2013 |
| Actor-context-actor relation network for spatio-temporal action localization J Pan, S Chen, Z Shou, J Shao, H Li arXiv preprint arXiv:2006.07976, 2020 | 3 | 2020 |
| Key designs in implementing online 3D virtual garment try-on system Z Shou, B Yu, G Chen, H Cai, Q Liu 2013 Sixth International Symposium on Computational Intelligence and Design …, 2013 | 3 | 2013 |
| Action temporal localization in untrimmed videos via multi-stage cnns Z Shou, D Wang, S Chang 2016 IEEE Conference on Computer Vision and Pattern Recognition, 1049-1058, 0 | 3 | |
| Tensor FISTA-Net for real-time snapshot compressive imaging X Han, B Wu, Z Shou, XY Liu, Y Zhang, L Kong Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10933 …, 2020 | 2 | 2020 |
| LPAT: learning to predict adaptive threshold for weaklysupervised temporal action localization X Lin, Z Shou, S Chang CoRR, 2019 | 2 | 2019 |
| A discriminative tracklets representation for crowd analysis C Wang, X Zhao, Z Shou, Y Zhou, Y Liu 2015 IEEE International Conference on Image Processing (ICIP), 1805-1809, 2015 | 2 | 2015 |
| Generic Event Boundary Detection: A Benchmark for Event Segmentation MZ Shou, D Ghadiyaram, W Wang, M Feiszli arXiv preprint arXiv:2101.10511, 2021 | | 2021 |
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia UniversityVerified email at columbia.edu
