Xinhao Li
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXinhao Li is a computer vision and machine learning researcher and PhD student at UC San Diego with five years of experience bridging academic research and practical video understanding. He has led domain adaptation and transfer learning projects since his undergraduate studies, publishing first-author papers at ECCV 2022 and ACM MM 2021, and more recently focused on test-time adaptation for video segmentation and detection in Prof. Xiaolong Wang’s lab. Based in San Diego, Xinhao combines strong theoretical grounding with hands-on experimentation across object recognition, open-set recognition, and detection tasks. He favors exploring novel problem areas—summed up by his GitHub motto “Explore the unexplored”—and maintains a public homepage showcasing his work and code.
5 years of coding experience
4 years of employment as a software developer
University of California, San DiegoBachelor of Engineering, Computer Science, Bachelor of Engineering, Computer Science at University of Electronic Science and Technology of China
Github Skills (51)
x3d10
benchmark10
toolbox10
evaluation10
re-identification10
multimodal-deep-learning10
openmmlab10
multimodal10
video-understanding10
ellipsis10
ava10
image-matching10
generative10
vision-and-language10
action-recognition10
Programming languages (4)
Github contributions (5)
leexinhao/boya-backend
Jan 2022 - Feb 2023
Contributions:28 commits, 23 pushes, 1 branch in 1 year
leexinhao/Photovoltaic_materials_with_ML
Feb 2021 - Aug 2021
Contributions:12 commits, 4 pushes, 1 branch in 5 months
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