Zhaiyu Chen
Research Associate
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolZhaiyu Chen is a research associate and Ph.D. candidate based in Munich with nine years of experience at the intersection of 3D computer vision, remote sensing, and machine learning, focused on reconstructing buildings from point clouds. He brings a strong academic grounding—cum laude MSc in Geomatics from TU Delft and specialized deep learning training at MINES ParisTech—combined with applied research stints at TU Delft and industry exposure at Esri Nederland. His work bridges geospatial data science and practical urban applications, translating dense sensor data into usable 3D models for the built environment. Colleagues describe him as both methodical and inventive, able to move from theoretical model design to prototype systems that address real-world mapping challenges.
9 years of coding experience
Bachelor of Engineering - BE, Remote Sensing Science and Technology, Outstanding Graduate, Bachelor of Engineering - BE, Remote Sensing Science and Technology, Outstanding Graduate at Wuhan UniversityVisiting Student, Image Processing and Analysis, Visiting Student, Image Processing and Analysis at Technion - Israel Institute of TechnologyTU DelftATHENS Programme, Deep Learning for Image Analysis, A, ATHENS Programme, Deep Learning for Image Analysis, A at MINES ParisTech
English, Chinese
Github Skills (83)
python10
gnn10
deep-learning10
3d10
graph-convolutional-networks10
mesh10
geometry10
pointnet10
graph-neural-network10
satellite-images10
point-cloud10
geometric-deep-learning10
pytorch10
footprint10
space-partitioning9
Programming languages (6)
Github contributions (5)
chenzhaiyu/calibration
Apr 2018 - Oct 2023
Contributions:2 pushes, 1 branch in 5 years 6 months
chenzhaiyu/points2poly
Jul 2021 - Jan 2023
Reconstructing compact building models from point clouds using deep implicit fields [ISPRS 2022]
Contributions:20 commits, 21 pushes, 9 branches in 1 year 7 months
point-cloudreconstruction3dimplicit-field
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