Le Xiaofang
Computer Scientist Deep Learning at AI Verse
Rennes, Brittany, France
Summary
👤
Senior🎓
Top SchoolLe Xiaofang is a computer scientist with 11 years of experience specializing in deep learning and multimodal perception, currently working on satellite imagery understanding and R&D at Siradel while holding a Computer Scientist Deep Learning role at AI Verse. Her background blends academic rigor—PhD in image segmentation and multiple postdoctoral projects at Inria and French universities—with applied research in 3D human pose/shape reconstruction, tiny-object detection in crowded video, and remote-sensing computer vision. She has built end-to-end systems from synthetic depth-data generation and Azure-based APIs to annotation tools and hybrid deep learning/optimization pipelines, and published in venues like Computers & Graphics and CVPR-related workshops. Based in Rennes, she combines strong algorithmic foundations with practical deployment experience on real-world systems, and a less obvious strength is her track record of creating complete data ecosystems (renderers, simulators, annotators) that power robust model training.
11 years of coding experience
6 years of employment as a software developer
Docteur en Informatique, segmentation d'image; traitement d'images, Docteur en Informatique, segmentation d'image; traitement d'images at Centrale LyonMaster's degree, Biomedical/Medical Engineering, Excellent, Master's degree, Biomedical/Medical Engineering, Excellent at Central South University
Chinese, English, French
Github Skills (54)
detector7
face-detector7
libtorch6
optical-flow6
pointnet6
classification6
face6
evolution5
segmentation5
benchmark4
synthetic4
sampling4
face-detection4
face-recognition4
self-contained4
Programming languages (5)
Github contributions (5)
xiaofanglegoc/global-local-affinity-graph
May 2015 - Mar 2018
Contributions:9 commits, 6 pushes, 1 branch in 2 years 10 months
xiaofanglegoc/active_Colloids_Segmentation_Tracking
Oct 2019 - Oct 2019
Contributions:14 commits, 13 pushes, 1 branch in 1 day
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