| 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, ... CVPR 2023, 2023 | 232 | 2023 |
| Egocentric video-language pretraining KQ Lin, J Wang, M Soldan, M Wray, R Yan, EZ Xu, D Gao, RC Tu, W Zhao, ... NeurIPS 2022 (Spotlight), 2022 | 209* | 2022 |
| UniVTG: Towards unified video-language temporal grounding KQ Lin, P Zhang, J Chen, S Pramanick, D Gao, AJ Wang, R Yan, MZ Shou ICCV 2023, 2023 | 121 | 2023 |
| 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 ACMMM 2024 HCMA workshop (Best Demo Paper), 2023 | 77 | 2023 |
| Show-o: One single transformer to unify multimodal understanding and generation J Xie, W Mao, Z Bai, DJ Zhang, W Wang, KQ Lin, Y Gu, Z Chen, Z Yang, ... ICLR 2025, 2024 | 72 | 2024 |
| 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, ... ICCV 2023, 2023 | 67 | 2023 |
| Unsupervised cross-modal hashing with modality-interaction RC Tu, J Jiang, Q Lin, C Cai, S Tian, H Wang, W Liu TCSVT 2023, 2023 | 47 | 2023 |
| Unsupervised cross-modal hashing via semantic text mining RC Tu, XL Mao, Q Lin, W Ji, W Qin, W Wei, H Huang TMM 2023, 2023 | 28 | 2023 |
| Affordance grounding from demonstration video to target image J Chen, D Gao, KQ Lin, MZ Shou CVPR 2023, 2023 | 27 | 2023 |
| Too large; data reduction for vision-language pre-training AJ Wang, KQ Lin, DJ Zhang, SW Lei, MZ Shou ICCV 2023, 2023 | 25 | 2023 |
| VideoLLM-online: Online Video Large Language Model for Streaming Video J Chen, Z Lv, S Wu, KQ Lin, C Song, D Gao, JW Liu, Z Gao, D Mao, ... CVPR 2024, 2024 | 23 | 2024 |
| Deep unsupervised hashing with latent semantic components Q Lin, X Chen, Q Zhang, S Cai, W Zhao, H Wang AAAI 2022 (Oral), 2022 | 22 | 2022 |
| Unsupervised hashing with semantic concept mining RC Tu, XL Mao, KQ Lin, C Cai, W Qin, W Wei, H Wang, H Huang SIGMOD 2023, 2023 | 16 | 2023 |
| Deep superpixel cut for unsupervised image segmentation Q Lin, W Zhong, J Lu ICPR 2021, 2021 | 15 | 2021 |
| Deep self-adaptive hashing for image retrieval Q Lin, X Chen, Q Zhang, S Tian, Y Chen CIKM 2021 (Oral), 2021 | 14 | 2021 |
| Visorgpt: Learning visual prior via generative pre-training J Xie, K Ye, Y Li, Y Li, KQ Lin, Y Zheng, L Shen, MZ Shou NeurIPS 2023, 2023 | 13* | 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 | 9 | 2024 |
| DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection H Zhao, KQ Lin, R Yan, Z Li TNNLS 2024, 2024 | 7* | 2024 |
| ShowUI: One Vision-Language-Action Model for GUI Visual Agent KQ Lin, L Li, D Gao, Z Yang, S Wu, Z Bai, W Lei, L Wang, MZ Shou NeurIPS 2024 OWA workshop (Outstanding Paper Award), 2024 | 5* | 2024 |
| GUI Action Narrator: Where and When Did That Action Take Place? Q Wu, D Gao, KQ Lin, Z Wu, X Guo, P Li, W Zhang, H Wang, MZ Shou arXiv preprint arXiv:2406.13719, 2024 | 3 | 2024 |
Mike Z. SHOUNational U. of Singapore; Facebook AI; Columbia University在 columbia.edu 的电子邮件经过验证