Scholar
Baifeng Shi
Google Scholar ID: LBEIm8gAAAAJ
PhD, UC Berkeley
Vision
Robotics
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
1,153
H-index
14
i10-index
15
Publications
18
Co-authors
12
list available
Contact
Email
baifeng_shi@berkeley.edu
CV
Open ↗
GitHub
Open ↗
LinkedIn
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Publications
7 items
Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing
2026
Cited
0
FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in Videos
2025
Cited
0
Learning to Grasp Anything by Playing with Random Toys
2025
Cited
0
Scaling RL to Long Videos
2025
Cited
0
Scaling Vision Pre-Training to 4K Resolution
2025
Cited
0
NVILA: Efficient Frontier Visual Language Models
arXiv.org · 2024
Cited
4
Rethinking Patch Dependence for Masked Autoencoders
arXiv.org · 2024
Cited
13
Resume (English only)
Academic Achievements
Scaling Vision Pre-Training to 4K Resolution, CVPR 2025
NVILA: Efficient Frontier Visual Language Models, CVPR 2025
When Do We Not Need Larger Vision Models?, ECCV 2024
Top-Down Visual Attention from Analysis by Synthesis, CVPR 2023
Learning to Grasp Anything by Playing With Random Toys, arXiv 2025
Research Experience
Involved in various research projects, including vision pre-training, efficient visual language models, and robotic grasping strategies.
Education
B.S. in Computer Science from Peking University; Ph.D. student at UC Berkeley, advised by Prof. Trevor Darrell.
Background
A Ph.D. student at UC Berkeley, with research interests in building generalist vision and robotic models.
Co-authors
12 total
Trevor Darrell
Professor of Computer Science, U.C. Berkeley
Qi Dai
Microsoft Research
Xin Wang
OpenAI
Huijuan Xu
Assistant Professor, CSE Dept., Pennsylvania State University
Ilija Radosavovic
UC Berkeley
Jitendra MALIK
Professor of EECS, UC Berkeley
Pavlo Molchanov
NVIDIA Research
Hongxu (Danny) Yin
Research Scientist & Tech Lead, NVIDIA Research; Princeton University
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