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 (5)
object-detection9
metric-learning9
faster-rcnn8
segmentation8
image-segmentation5
Programming languages (2)
Github contributions (5)
yuhuayc/fast-vos
Jun 2018 - Jul 2019
An implementation of our CVPR 2018 work 'Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning'
Contributions:5 commits, 4 pushes, 1 branch in 1 year 1 month
metric-learningsegmentation
yuhuayc/align-hier
Apr 2016 - Jul 2017
An implementation of our CVPR 2016 work 'Scale-Aware Alignment of Hierarchical Image Segmentation'
Contributions:5 commits, 4 pushes, 1 branch in 1 year 3 months
image-segmentation
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