Yuhua Chen
Applied Research Scientist at Meta
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolYuhua Chen is an applied research scientist at Meta Reality Labs with a decade of experience in computer vision and deep learning, focusing on AR/VR applications. She earned a PhD from ETH Zurich under Prof. Luc Van Gool with a thesis on label-efficient scene understanding, bringing strong expertise in data-efficient learning methods. Her background includes research and internships at Google and Disney Research, bridging academic rigor with product-oriented research. Based in Zurich, she combines systems-level engineering experience with cutting-edge research, frequently publishing and maintaining an online research portfolio. Notably, her work targets practical reductions in annotation needs for scene understanding—an angle that accelerates deployment in real-world AR/VR systems. Her profile reflects a rare blend of foundational theory and hands-on implementation across industry and academia.
10 years of coding experience
1 year of employment as a software developer
Visiting Student, Visiting Student at The University of Western AustraliaMaster of Science - MS, Electrical Engineering and Information Technology, Master of Science - MS, Electrical Engineering and Information Technology at Eidgenössische Technische Hochschule ZürichBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Science and Technology of China
Github Skills (6)
backbone10
faster-rcnn8
computer-vision8
object-detection8
pytorch7
deep-learning7
Programming languages (1)
Github contributions (5)
yuhuayc/align-hier
Apr 2016 - Jul 2017
Contributions:5 commits, 4 pushes, 1 branch in 1 year 3 months
yuhuayc/da-faster-rcnn
May 2018 - Oct 2019
An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'
Contributions:12 commits, 1 PR, 7 pushes in 1 year 5 months
pytorchbackbonedeep-learningadaptiver-cnn
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