Mu Cai

According to our database, Mu Cai authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner.

Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan

CoRR, 2024

Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds.

Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang

CoRR, 2024

VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation.

Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee

CoRR, 2024

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy.

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

CoRR, 2024

Yo'LLaVA: Your Personalized Language and Vision Assistant.

Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee

CoRR, 2024

Matryoshka Multimodal Models.

Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee

CoRR, 2024

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models.

Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan

CoRR, 2024

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts.

Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples.

Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Making Large Multimodal Models Understand Arbitrary Visual Prompts.

Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee

CoRR, 2023

Investigating the Catastrophic Forgetting in Multimodal Large Language Models.

Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma

CoRR, 2023

Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding.

Mu Cai, Zeyi Huang, Yuheng Li, Haohan Wang, Yong Jae Lee

CoRR, 2023

Out-of-distribution Detection via Frequency-regularized Generative Models.

Mu Cai, Yixuan Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance.

Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

VOS: Learning What You Don't Know by Virtual Outlier Synthesis.

Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Masked Discrimination for Self-supervised Learning on Point Clouds.

Haotian Liu, Mu Cai, Yong Jae Lee

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving.

Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving.

Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Gao Huang

CoRR, 2020

A Game-Theoretic Strategy-Aware Interaction Algorithm with Validation on Real Traffic Data.

Liting Sun, Mu Cai, Wei Zhan, Masayoshi Tomizuka

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020