| Visual instruction tuning H Liu, C Li, Q Wu, YJ Lee Advances in neural information processing systems 36, 2024 | 5449 | 2024 |
| Improved Baselines with Visual Instruction Tuning H Liu, C Li, Y Li, YJ Lee CVPR 2024, 2023 | 1870 | 2023 |
| Llava-med: Training a large language-and-vision assistant for biomedicine in one day C Li, C Wong, S Zhang, N Usuyama, H Liu, J Yang, T Naumann, H Poon, ... NeurIPS 2023, Datasets and Benchmarks Track, 2023 | 653 | 2023 |
| GLIGEN: Open-Set Grounded Text-to-Image Generation Y Li, H Liu, Q Wu, F Mu, J Yang, J Gao, C Li, YJ Lee CVPR 2023, 2023 | 626 | 2023 |
| Llava-next: Improved reasoning, ocr, and world knowledge H Liu, C Li, Y Li, B Li, Y Zhang, S Shen, YJ Lee https://llava-vl.github.io/blog/2024-01-30-llava-next, 2024 | 602* | 2024 |
| Aligning Large Multimodal Models with Factually Augmented RLHF Z Sun, S Shen, S Cao, H Liu, C Li, Y Shen, C Gan, LY Gui, YX Wang, ... arXiv preprint arXiv:2309.14525, 2023 | 251 | 2023 |
| Masked discrimination for self-supervised learning on point clouds H Liu, M Cai, YJ Lee Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 165 | 2022 |
| ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models C Li*, H Liu*, LH Li, P Zhang, J Aneja, J Yang, P Jin, H Hu, Z Liu, YJ Lee, ... NeurIPS 2022, Datasets and Benchmarks Track, 2022 | 153 | 2022 |
| Llava-plus: Learning to use tools for creating multimodal agents S Liu, H Cheng, H Liu, H Zhang, F Li, T Ren, X Zou, J Yang, H Su, J Zhu, ... European Conference on Computer Vision, 126-142, 2024 | 102 | 2024 |
| LLaVA-NeXT: A Strong Zero-shot Video Understanding Model Y Zhang, B Li, H Liu, YJ Lee, L Gui, D Fu, J Feng, Z Liu, C Li https://llava-vl.github.io/blog/2024-04-30-llava-next-video/, 2024 | 102* | 2024 |
| YolactEdge: Real-time Instance Segmentation on the Edge H Liu*, RAR Soto*, F Xiao, YJ Lee 2021 IEEE International Conference on Robotics and Automation (ICRA), 9579-9585, 2021 | 93 | 2021 |
| Making large multimodal models understand arbitrary visual prompts M Cai, H Liu, SK Mustikovela, GP Meyer, Y Chai, D Park, YJ Lee CVPR 2024, 2023 | 85* | 2023 |
| Learning Customized Visual Models with Retrieval-Augmented Knowledge H Liu, K Son, J Yang, C Liu, J Gao, YJ Lee, C Li CVPR 2023, 2023 | 57* | 2023 |
| An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models Y Lu, C Li, H Liu, J Yang, J Gao, Y Shen arXiv preprint arXiv:2309.09958, 2023 | 34 | 2023 |
| CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs Z Wang, M Xia, L He, H Chen, Y Liu, R Zhu, K Liang, X Wu, H Liu, ... arXiv preprint arXiv:2406.18521, 2024 | 25 | 2024 |
| Identity from here, Pose from there: Self-supervised Disentanglement and Generation of Objects using Unlabeled Videos F Xiao, H Liu, YJ Lee Proceedings of the IEEE International Conference on Computer Vision, 7013-7022, 2019 | 21 | 2019 |
| Operation strategy of public building: Implications from trade-off between carbon emission and occupant satisfaction Y Chen, H Liu, L Shi Journal of Cleaner Production 205, 629-644, 2018 | 13 | 2018 |
| Generate Anything Anywhere in Any Scene Y Li, H Liu, Y Wen, YJ Lee arXiv preprint arXiv:2306.17154, 2023 | 11 | 2023 |
| Fantastic Copyrighted Beasts and How (Not) to Generate Them L He, Y Huang, W Shi, T Xie, H Liu, Y Wang, L Zettlemoyer, C Zhang, ... arXiv preprint arXiv:2406.14526, 2024 | 10 | 2024 |
| Lmms-eval: Accelerating the development of large multimoal models B Li, P Zhang, K Zhang, F Pu, X Du, Y Dong, H Liu, Y Zhang, G Zhang, ... March, 2024 | 9 | 2024 |
Yong Jae LeeAssociate Professor of Computer Sciences, UW-MadisonПодтвержден адрес электронной почты в домене wisc.edu