Scholar
Timo Bolkart
Google Scholar ID: RbfmHUgAAAAJ
Google
Citations & Impact
Citations
9,352
H-index
28
i10-index
34
Publications
20
Co-authors
65
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers at conferences such as SIGGRAPH, CVPR, and Eurographics, including 'TeGA: Texture Space Gaussian Avatars for High-Resolution Dynamic Head Modeling', 'SynShot: Synthetic Prior for Head Avatar Inversion', 'GEM: Gaussian Eigen Models', 'OFER: Occluded Face Expression Reconstruction', 'SMIRK: Expressive 3D Faces from Images', 'SCULPT: Generative Model of Clothed Bodies', 'AMUSE: Emotional Speed-driven Body Animation', 'Learning to Stabilize Faces', and 'EMOTE: Emotional Speech-Driven Animation with Content-Emotion Disentanglement'.
Research Experience
- Senior research scientist at Google since May 2023; research scientist at the Perceiving Systems Department of the Max Planck Institute for Intelligent Systems from October 2018 to May 2023; visiting academic (part-time) at Amazon from June 2021 to March 2023; postdoctoral researcher at the Perceiving Systems Department of the Max Planck Institute for Intelligent Systems from October 2016 to September 2018; research associate in the Non-Rigid Shape Analysis Group of the Cluster of Excellence on 'Multimodal Computing and Interaction' from January 2012 to September 2016; software engineer at RIB Software AG, Stuttgart from June 2010 to December 2011.
Education
- Received a Ph.D. in Computer Science from Saarland University in 2016, supervised by Stefanie Wuhrer; obtained a M.Sc. in Mathematics in 2010; and a Diplom-Mathematik (FH) in 2008 from the University of Applied Sciences in Stuttgart, Germany.
Background
- Research interests include computer vision, computer graphics, and machine learning, with a focus on understanding the shape and deformations of complex 3-dimensional objects like human bodies and faces. Specializes in non-rigid shape analysis, statistical modeling of various kinds of shapes, and the analysis of 3D motion data.
Miscellany
- Provides detailed lists of publications, available software, and datasets on his personal website.
