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Mu Cai
Mu Cai
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VOS: Learning What You Don't Know by Virtual Outlier Synthesis
X Du, Z Wang, M Cai, Y Li
Proceedings of the International Conference on Learning Representations 1 (4), 8, 2022
2152022
Masked Discrimination for Self-Supervised Learning on Point Clouds
H Liu, M Cai, YJ Lee
Proceedings of the European Conference on Computer Vision (ECCV), 2022, 2022
1052022
Frequency domain image translation: More photo-realistic, better identity-preserving
M Cai, H Zhang, H Huang, Q Geng, Y Li, G Huang
IEEE International Conference on Computer Vision (ICCV), 2021, 13930-13940, 2021
642021
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
422023
Out-of-distribution Detection via Frequency-regularized Generative Models
M Cai, Y Li
WACV (Spotlight), 2023, 2022
212022
A Game-Theoretic Strategy-Aware Interaction Algorithm with Validation on Real Traffic Data
L Sun*, M Cai*, W Zhan, M Tomizuka
The 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
142020
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
122024
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding
M Cai, Z Huang, Y Li, H Wang, YJ Lee
arXiv preprint arXiv:2306.06094, 2023
52023
Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning
Y Zhai, S Tong, X Li, M Cai, Q Qu, YJ Lee, Y Ma
Conference on Parsimony and Learning, 202-227, 2024
42024
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
42023
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
2024
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples
J Zhang*, M Cai*, T Xie, YJ Lee
arXiv preprint arXiv:2402.13254, 2024
2024
Delving into LLMs’ visual understanding ability using SVG to bridge image and text
M Cai, Z Huang, Y Li, H Wang, YJ Lee
2023
Causal inference can prevent computer vision from falling into black-box deep learning
M Cai
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