| Mmbench: Is your multi-modal model an all-around player? Y Liu*, H Duan*, Y Zhang*, B Li*, S Zhang*, W Zhao, Y Yuan, J Wang, ... European Conference on Computer Vision, 216-233, 2025 | 896 | 2025 |
| Mimic-it: Multi-modal in-context instruction tuning B Li*, Y Zhang*, L Chen, J Wang, F Pu, J Yang, C Li, Z Liu arXiv preprint arXiv:2306.05425, 2023 | 652 | 2023 |
| Llava-onevision: Easy visual task transfer B Li, Y Zhang, D Guo, R Zhang, F Li, H Zhang, K Zhang, P Zhang, Y Li, ... arXiv preprint arXiv:2408.03326, 2024 | 423 | 2024 |
| Llavanext: Improved reasoning, ocr, and world knowledge H Liu, C Li, Y Li, B Li, Y Zhang, S Shen, YJ Lee | 391* | 2024 |
| Neural prompt search Y Zhang, K Zhou, Z Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 373 | 2024 |
| Vbench: Comprehensive benchmark suite for video generative models Z Huang, Y He, J Yu, F Zhang, C Si, Y Jiang, Y Zhang, T Wu, Q Jin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 292 | 2024 |
| Celeba-spoof: Large-scale face anti-spoofing dataset with rich annotations Y Zhang, ZF Yin, Y Li, G Yin, J Yan, J Shao, Z Liu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 222 | 2020 |
| Llava-next-interleave: Tackling multi-image, video, and 3d in large multimodal models F Li, R Zhang, H Zhang, Y Zhang, B Li, W Li, Z Ma, C Li arXiv preprint arXiv:2407.07895, 2024 | 153 | 2024 |
| Llava-next: A strong zero-shot video understanding model Y Zhang, B Li, H Liu, Y Lee, L Gui, D Fu, J Feng, Z Liu, C Li | 132* | 2024 |
| Long context transfer from language to vision P Zhang, K Zhang, B Li, G Zeng, J Yang, Y Zhang, Z Wang, H Tan, C Li, ... arXiv preprint arXiv:2406.16852, 2024 | 111 | 2024 |
| What makes good examples for visual in-context learning? Y Zhang, K Zhou, Z Liu Advances in Neural Information Processing Systems 36, 17773-17794, 2023 | 109 | 2023 |
| Video instruction tuning with synthetic data Y Zhang, J Wu, W Li, B Li, Z Ma, Z Liu, C Li arXiv preprint arXiv:2410.02713, 2024 | 78 | 2024 |
| Octopus: Embodied vision-language programmer from environmental feedback J Yang, Y Dong, S Liu, B Li, Z Wang, H Tan, C Jiang, J Kang, Y Zhang, ... European Conference on Computer Vision, 20-38, 2024 | 54 | 2024 |
| Otterhd: A high-resolution multi-modality model B Li, P Zhang, J Yang, Y Zhang, F Pu, Z Liu arXiv preprint arXiv:2311.04219, 2023 | 53 | 2023 |
| Learning without forgetting for vision-language models DW Zhou, Y Zhang, Y Wang, J Ning, HJ Ye, DC Zhan, Z Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 52 | 2025 |
| Lmms-eval: Reality check on the evaluation of large multimodal models K Zhang, B Li, P Zhang, F Pu, JA Cahyono, K Hu, S Liu, Y Zhang, J Yang, ... arXiv preprint arXiv:2407.12772, 2024 | 49* | 2024 |
| Direct preference optimization of video large multimodal models from language model reward R Zhang, L Gui, Z Sun, Y Feng, K Xu, Y Zhang, D Fu, C Li, A Hauptmann, ... arXiv preprint arXiv:2404.01258, 2024 | 37* | 2024 |
| Funqa: Towards surprising video comprehension B Xie, S Zhang, Z Zhou, B Li, Y Zhang, J Hessel, J Yang, Z Liu European Conference on Computer Vision, 39-57, 2024 | 29 | 2024 |
| Benchmarking omni-vision representation through the lens of visual realms Y Zhang, Z Yin, J Shao, Z Liu European Conference on Computer Vision, 594-611, 2022 | 29 | 2022 |
| Bamboo: Building mega-scale vision dataset continually with human-machine synergy Y Zhang, Q Sun, Y Zhou, Z He, Z Yin, K Wang, L Sheng, Y Qiao, J Shao, ... arXiv preprint arXiv:2203.07845, 2022 | 19 | 2022 |
Ziwei LiuAssociate Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
