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Mu Cai
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2020 – today
- 2024
- [c11]Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee:
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. ACL (Findings) 2024: 15481-15495 - [c10]Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee:
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts. CVPR 2024: 12914-12923 - [c9]Yuheng Li
, Haotian Liu, Mu Cai, Yijun Li
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. ECCV (21) 2024: 405-422 - [c8]Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee:
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. EMNLP 2024: 3647-3659 - [c7]Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang:
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds. IROS 2024: 9468-9475 - [i19]Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee:
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. CoRR abs/2402.13254 (2024) - [i18]Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan:
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. CoRR abs/2403.15388 (2024) - [i17]Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee:
Matryoshka Multimodal Models. CoRR abs/2405.17430 (2024) - [i16]Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee:
Yo'LLaVA: Your Personalized Language and Vision Assistant. CoRR abs/2406.09400 (2024) - [i15]Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo:
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. CoRR abs/2406.20095 (2024) - [i14]Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee:
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. CoRR abs/2407.10972 (2024) - [i13]Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang:
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds. CoRR abs/2409.06827 (2024) - [i12]Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan:
Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. CoRR abs/2409.12963 (2024) - [i11]Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh:
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. CoRR abs/2410.00905 (2024) - [i10]Jianrui Zhang, Mu Cai, Yong Jae Lee:
Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos. CoRR abs/2410.02763 (2024) - [i9]Mu Cai, Reuben Tan, Jianrui Zhang, Bocheng Zou, Kai Zhang, Feng Yao, Fangrui Zhu, Jing Gu, Yiwu Zhong, Yuzhang Shang, Yao Dou, Jaden Park, Jianfeng Gao, Yong Jae Lee, Jianwei Yang:
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. CoRR abs/2410.10818 (2024) - 2023
- [c6]Zeyi Huang, Andy Zhou
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. ICCV 2023: 11651-11661 - [c5]Mu Cai, Yixuan Li:
Out-of-distribution Detection via Frequency-regularized Generative Models. WACV 2023: 5510-5519 - [i8]Mu Cai, Zeyi Huang, Yuheng Li, Haohan Wang, Yong Jae Lee:
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding. CoRR abs/2306.06094 (2023) - [i7]Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu
Investigating the Catastrophic Forgetting in Multimodal Large Language Models. CoRR abs/2309.10313 (2023) - [i6]Zeyi Huang, Andy Zhou
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. CoRR abs/2309.12530 (2023) - [i5]Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee:
Making Large Multimodal Models Understand Arbitrary Visual Prompts. CoRR abs/2312.00784 (2023) - 2022
- [c4]Haotian Liu, Mu Cai, Yong Jae Lee:
Masked Discrimination for Self-supervised Learning on Point Clouds. ECCV (2) 2022: 657-675 - [c3]Xuefeng Du, Zhaoning Wang, Mu Cai
VOS: Learning What You Don't Know by Virtual Outlier Synthesis. ICLR 2022 - [i4]Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li:
VOS: Learning What You Don't Know by Virtual Outlier Synthesis. CoRR abs/2202.01197 (2022) - [i3]Haotian Liu, Mu Cai, Yong Jae Lee:
Masked Discrimination for Self-Supervised Learning on Point Clouds. CoRR abs/2203.11183 (2022) - [i2]Mu Cai, Yixuan Li:
Out-of-distribution Detection via Frequency-regularized Generative Models. CoRR abs/2208.09083 (2022) - 2021
- [c2]Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang:
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. ICCV 2021: 13910-13920 - 2020
- [c1]Liting Sun, Mu Cai
A Game-Theoretic Strategy-Aware Interaction Algorithm with Validation on Real Traffic Data. IROS 2020: 11038-11044 - [i1]Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Gao Huang:
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. CoRR abs/2011.13611 (2020)
Coauthor Index
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