Timo Bolkart
Senior Research Scientist at Google
Tübingen, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolTimo Bolkart is a Senior Research Scientist based in Tübingen with eight years of focused experience in 3D computer vision and computer graphics, currently researching at Google after a long stint at the Max Planck Institute for Intelligent Systems. He specializes in non-rigid shape analysis, statistical modeling of shapes, and robust analysis of 3D motion and facial data, producing work that tackles noisy, corrupt, and incomplete inputs. His background combines strong mathematical training (Dipl.-Math., M.Sc., Dr.-Ing.) with practical software engineering experience from industry roles at Amazon and earlier engineering positions. Timo’s research is notable for bridging theoretical statistical models and real-world registration challenges in 3D face datasets, and he maintains an active personal site documenting his publications and resources.
8 years of coding experience
14 years of employment as a software developer
Diploma Mathematics (Dipl.-Math. (FH)), Diploma Mathematics (Dipl.-Math. (FH)) at Fachhochschule Stuttgart - Hochschule für TechnikDr.-Ing., Dr.-Ing. at Universität des Saarlandes
Github Skills (58)
face10
code-optimization10
mesh10
pytorch3d10
3d-graphics10
python10
signal10
generative-adversarial-network10
siggraph10
flame10
3d-models10
angle10
texture10
tensorflow10
speech10
Programming languages (1)
Github contributions (5)
HavenFeng/photometric_optimization
Apr 2020 - Mar 2022
Photometric optimization code for creating the FLAME texture space and other applications
Contributions:18 commits, 6 pushes in 1 year 11 months
structure-from-motiontexture-mapspython3d-shapes3d-face-reconstruction
TimoBolkart/voca
May 2019 - Dec 2020
This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.
Contributions:14 commits, 41 pushes, 121 comments in 1 year 7 months
vocasignalpythonrealistictensorflow
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