Mu Cai
Research Scientist @ Google DeepMind
About
Work on Gemini Multimodal * Multimodal Image/Video/Agent LLM. * Visual Content Representation (e.g. CLIP/DINO style).
United States
Madison
Computer Software
Python, MATLAB, C++, Linux, Deep Learning, Computer Vision
Experience
Research Scientist
Google DeepMind
Mountain View, California, United States
Core contributor in Gemini team. Multimodal & RL for Gemini and Media Generation
Research Assistant
University of Wisconsin-Madison
Madison, Wisconsin, United States
Multimodal foundation models, self-supervised learning, 3D scene understanding. - 2021 UW Madison Computer Science Summer Research Award
Graduate Teaching Assistant
University of Wisconsin-Madison
Madison, Wisconsin, United States
Graduate Teaching Assistant
University of Wisconsin-Madison
Madison, Wisconsin, United States
Research Intern
Microsoft
Redmond, Washington, United States
Research on multimodal foundation models, especially for videos and multimodal agents.
Research Intern
Cruise
Sunnyvale, California, United States
Large Multimodal Models.
Research Intern
QCraft AI
San Jose, California, United States
Multi-modality Self-supervised learning for 3D perception
Research Intern
Kuaishou Technology
Beijing, China
Image translation, generative modeling
Research Intern
SenseTime 商汤科技
Beijing, China
3D perception
Visiting Student Researcher
University of California, Berkeley
Berkeley, California, United States
Autonomous Driving
Student Researcher
City University of Hong Kong
Hong Kong SAR
Signal Processing. Causal Inference.
Education
University of Wisconsin-Madison
Computer Sciences
Focus on multimodal models for images, text, videos, and 3D. Work on deep learning and computer vision.
Xi'an Jiaotong University
Electrical Engineering
Mu Cai's Contact Information
Phone
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