| 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 | 145 | 2023 |
| Egocentric video-language pretraining KQ Lin, J Wang, M Soldan, M Wray, R Yan, EZ Xu, D Gao, RC Tu, W Zhao, ... Advances in Neural Information Processing Systems 35, 7575-7586, 2022 | 119* | 2022 |
| Assistgpt: A general multi-modal assistant that can plan, execute, inspect, and learn D Gao, L Ji, L Zhou, KQ Lin, J Chen, Z Fan, MZ Shou arXiv preprint arXiv:2306.08640, 2023 | 30 | 2023 |
| Univtg: Towards unified video-language temporal grounding KQ Lin, P Zhang, J Chen, S Pramanick, D Gao, AJ Wang, R Yan, MZ Shou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 24 | 2023 |
| Egovlpv2: Egocentric video-language pre-training with fusion in the backbone S Pramanick, Y Song, S Nag, KQ Lin, H Shah, MZ Shou, R Chellappa, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 20 | 2023 |
| Deep unsupervised hashing with latent semantic components Q Lin, X Chen, Q Zhang, S Cai, W Zhao, H Wang Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7488-7496, 2022 | 17 | 2022 |
| Unsupervised cross-modal hashing with modality-interaction RC Tu, J Jiang, Q Lin, C Cai, S Tian, H Wang, W Liu IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 15 | 2023 |
| Unsupervised cross-modal hashing via semantic text mining RC Tu, XL Mao, Q Lin, W Ji, W Qin, W Wei, H Huang IEEE Transactions on Multimedia, 2023 | 13 | 2023 |
| Deep superpixel cut for unsupervised image segmentation Q Lin, W Zhong, J Lu 2020 25th International Conference on Pattern Recognition (ICPR), 8870-8876, 2021 | 12 | 2021 |
| Affordance grounding from demonstration video to target image J Chen, D Gao, KQ Lin, MZ Shou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Deep self-adaptive hashing for image retrieval Q Lin, X Chen, Q Zhang, S Tian, Y Chen Proceedings of the 30th ACM International Conference on Information …, 2021 | 9 | 2021 |
| Too large; data reduction for vision-language pre-training AJ Wang, KQ Lin, DJ Zhang, SW Lei, MZ Shou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Unsupervised hashing with semantic concept mining RC Tu, XL Mao, KQ Lin, C Cai, W Qin, W Wei, H Wang, H Huang Proceedings of the ACM on Management of Data 1 (1), 1-19, 2023 | 6 | 2023 |
| Visorgpt: Learning visual prior via generative pre-training J Xie, K Ye, Y Li, Y Li, KQ Lin, Y Zheng, L Shen, MZ Shou arXiv preprint arXiv:2305.13777, 2023 | 6* | 2023 |
| DiffusionVMR: Diffusion Model for Video Moment Retrieval H Zhao, KQ Lin, R Yan, Z Li arXiv preprint arXiv:2308.15109, 2023 | 2 | 2023 |
| COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training AJ Wang, L Li, KQ Lin, J Wang, K Lin, Z Yang, L Wang, MZ Shou arXiv preprint arXiv:2401.00849, 2024 | | 2024 |
| Bootstrapping SparseFormers from Vision Foundation Models Z Gao, Z Tong, KQ Lin, J Chen, MZ Shou arXiv preprint arXiv:2312.01987, 2023 | | 2023 |
Mike Z. SHOUNational U. of Singapore; Facebook AI; Columbia University在 columbia.edu 的電子郵件地址已通過驗證
