Ma, Yi
Google (United States) · Google DeepMind (United Kingdom) · University of California, Berkeley
8 papers on CoChatORCID 0000-0001-5485-419X
Most cited papers
- Verified
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
Tong, S., Liu, Z., Zhai, Y., Ma, Y., LeCun, Y., & Xie, S. (2024) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 190
- Verified
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
Tong, S., Liu, Z., Zhai, Y., Ma, Y., LeCun, Y., & Xie, S. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 189
- Verified
Partial Occlusion Handling for Visual Tracking via Robust Part Matching
Zhang, T., Jia, K., Xu, C., Ma, Y., & Ahuja, N. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition
Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques
Cited by 117
- Verified
A New View-Invariant Feature for Cross-View Gait Recognition
Kusakunniran, W., Wu, Q., Zhang, J., Ma, Y., & Li, H. (2013) · IEEE Transactions on Information Forensics and Security
Gait Recognition and AnalysisHuman Pose and Action Recognition
Cited by 98
- Verified
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Nakamoto, M., Zhai, Y., Singh, A., Mark, M. S., Ma, Y., Finn, C., Kumar, A., & Levine, S. (2023) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 38
- Verified
General in-hand object rotation with vision and touch
Qi, H., Yi, B., Suresh, S., Lambeta, M., Ma, Y., Calandra, R., & Malik, J. (2023) · arXiv
Robot Manipulation and LearningInteractive and Immersive Displays
Cited by 33
- Verified
Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Zhai, Y., Tong, S., Li, X., Cai, M., Qu, Q., Lee, Y. J., & Ma, Y. (2023) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 24
- Verified
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Chu, T., Zhai, Y., Yang, J., Tong, S., Xie, S., Schuurmans, D., Le, Q. V., Levine, S., & Ma, Y. (2025) · arXiv
Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics
Cited by 7
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