Fei Pan
Reseach Fellow at University of Michigan
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolFei Pan is a Research Fellow at the University of Michigan with a decade of experience bridging computer vision and machine learning, focused on leveraging large language models and generative AI to build more robust, generalizable recognition systems. He holds a PhD in Electrical Engineering from KAIST and brings hands-on experience from industry research, including multi-camera vehicle detection work at Bosch. Fei’s research blends classical vision problems with modern LLM-driven approaches, aiming to improve real-world robustness rather than just benchmark performance. Based in Ann Arbor, he combines deep academic training with practical engineering insights, often exploring cross-modal strategies that are not yet mainstream in vision research.
9 years of coding experience
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Korea Advanced Institute of Science and Technology
Github Skills (20)
semantic-segmentation10
pytorch9
caffe8
machine-learning7
deep-learning7
entropy7
adaptation7
evolution5
optical-flow5
semantic4
segmentation4
traffic4
computer-vision3
depth3
carla2
Programming languages (2)
Github contributions (5)
feipanir/IntraDA
Apr 2020 - Jul 2022
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)
Contributions:1 release, 38 commits, 2 PRs in 2 years 3 months
domain-adaptationpytorchsemantic-segmentation
feipanir/tmux
Jul 2018 - Nov 2023
Contributions:1 push in 5 years 5 months
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