| VOS: Learning What You Don't Know by Virtual Outlier Synthesis X Du, Z Wang, M Cai, Y Li ICLR 2022, 2022 | 359 | 2022 |
| Masked Discrimination for Self-Supervised Learning on Point Clouds H Liu, M Cai, YJ Lee ECCV 2022, 2022 | 172 | 2022 |
| Investigating the catastrophic forgetting in multimodal large language models Y Zhai, S Tong, X Li, M Cai, Q Qu, YJ Lee, Y Ma Conference on Parsimony and Learning (CPAL) 2023, 2023 | 152* | 2023 |
| Frequency domain image translation: More photo-realistic, better identity-preserving M Cai, H Zhang, H Huang, Q Geng, Y Li, G Huang ICCV 2021, 2021 | 102 | 2021 |
| ViP-LLaVA: Making large multimodal models understand arbitrary visual prompts M Cai, H Liu, SK Mustikovela, GP Meyer, Y Chai, D Park, YJ Lee CVPR 2024, 2024 | 90 | 2024 |
| Llava-prumerge: Adaptive token reduction for efficient large multimodal models Y Shang*, M Cai*, B Xu, YJ Lee, Y Yan arXiv preprint arXiv:2403.15388, 2024 | 88 | 2024 |
| Out-of-distribution Detection via Frequency-regularized Generative Models M Cai, Y Li WACV (Spotlight), 2023, 2023 | 43 | 2023 |
| A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance Z Huang, A Zhou, Z Lin, M Cai, H Wang, YJ Lee ICCV 2023, 2023 | 30 | 2023 |
| Matryoshka Multimodal Models M Cai, J Yang, J Gao, YJ Lee ICLR 2025, 2025 | 26 | 2025 |
| A Game-Theoretic Strategy-Aware Interaction Algorithm with Validation on Real Traffic Data L Sun*, M Cai*, W Zhan, M Tomizuka IROS 2020, 2020 | 20 | 2020 |
| LLaRA: Supercharging robot learning data for vision-language policy X Li, C Mata, J Park, K Kahatapitiya, YS Jang, J Shang, K Ranasinghe, ... ICLR 2025, 2025 | 18 | 2025 |
| An Investigation on LLMsą Visual Understanding Ability Using SVG for Image-Text Bridging M Cai*, Z Huang*, Y Li, H Wang, YJ Lee WACV 2025, 2025 | 15* | 2025 |
| CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples J Zhang*, M Cai*, T Xie, YJ Lee Findings of ACL 2024, 2024 | 11 | 2024 |
| TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models M Cai, R Tan, J Zhang, B Zou, K Zhang, F Yao, F Zhu, J Gu, Y Zhong, ... NeurIPS 2024 Workshop on Video-Langauge Models, 2024 | 9* | 2024 |
| Interpolating video-llms: Toward longer-sequence lmms in a training-free manner Y Shang, B Xu, W Kang, M Cai, Y Li, Z Wen, Z Dong, K Keutzer, YJ Lee, ... arXiv preprint arXiv:2409.12963, 2024 | 7 | 2024 |
| VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation B Zou*, M Cai*, J Zhang, YJ Lee EMNLP 2024, 2024 | 7* | 2024 |
| Yo'LLaVA: Your Personalized Language and Vision Assistant T Nguyen, H Liu, Y Li, M Cai, U Ojha, YJ Lee NeurIPS 2024, 2024 | 7 | 2024 |
| Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds M Cai, C Luo, YJ Lee, X Yang IROS 2024, 2024 | 1 | 2024 |
| Magma: A Foundation Model for Multimodal AI Agents J Yang, R Tan, Q Wu, R Zheng, B Peng, Y Liang, Y Gu, M Cai, S Ye, ... arXiv preprint arXiv:2502.13130, 2025 | | 2025 |
| Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos J Zhang*, M Cai*, YJ Lee arXiv preprint arXiv:2410.02763, 2024 | | 2024 |
Yong Jae LeeAssociate Professor of Computer Sciences, UW-MadisonVerified email at wisc.edu
