Basile Van Hoorick
Research Scientist at Toyota Research Institute
Los Altos, California, United States
Summary
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Rockstar🎓
Top SchoolBasile Van Hoorick is a research scientist with nine years of experience building computer vision and machine learning systems that enable visual understanding of the dynamic 3D world. Currently on Toyota Research Institute's Large Behavior Models team, he focuses on video and 4D representation learning, object permanence, and robotics applications. His PhD and MS from Columbia involved self-supervised and video representation research, teaching advanced computer vision and representation learning courses. He has research stints at Meta FAIR and Waymo and has interned previously at TRI on point tracking and 4D perception, bridging academic rigor with industrial-scale problems. Outside research, he developed widely used Android apps for mathematical visualization—over a million downloads—demonstrating a knack for shipping polished consumer software. Based in Los Altos, he combines deep theoretical grounding with practical engineering across vision, robotics, and applied ML.
9 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Ghent UniversityPrivate Pilot License, Private Pilot License at Royal Antwerp Aviation ClubDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Columbia University
English, Dutch, French
Github Skills (114)
4d10
occlusion10
editor10
audio10
electron10
typescript10
visual-studio-code10
microsoft10
artwork10
generative-adversarial-network10
representation-learning9
multimodal9
nlp9
transformer9
computer-vision9
Programming languages (7)
Github contributions (5)
basilevh/image-outpainting
Jan 2020 - Aug 2021
Image Outpainting and Harmonization using GANs - PyTorch Implementation (official)
Contributions:11 commits, 9 pushes, 1 branch in 1 year 7 months
pytorchimage-outpaintingwikiartartworkgan
basilevh/occlusions-4d
Mar 2022 - Jan 2023
Revealing Occlusions with 4D Neural Fields (CVPR 2022 Oral) - Official Implementation
Contributions:28 commits, 1 PR, 26 pushes in 9 months
deep-learningneural-fieldsfields4dcomputer-vision
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