I am a research scientist at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, and a Visiting Academic at Amazon (part time). My research is in the areas of computer vision, computer graphics, and machine learning. My research focus is on understanding the shape and deformations of complex 3-dimensional objects like human bodies and human faces. I am especially interested in non-rigid shape analysis, statistical modeling of various kinds of shapes, and the analysis of 3D motion data.
See the full list of publications (including all paper pre-prints and bibtex information), available software, and available data for more details.
MPI for Intelligent Systems Perceiving Systems Department Max-Planck-Ring 4 72076 Tübingen (Germany)tbolkart (at) tuebingen (dot) mpg (dot) de
Since October 2018, I am research scientist at the Perceiving Systems Department.
From June 2021 to March 2023, I was a Visiting Academic (part time) at Amazon.
In October 2016, I joined the Perceiving Systems Department of the Max Planck Institute for Intelligent Systems as a postdoctoral researcher.
From 2012 to 2016, I was a research associate in the Non-Rigid Shape Analysis Group of the Cluster of Excellence on “Multimodal Computing and Interaction”. I received a Ph.D. in Computer Science from the Saarland University in 2016 under supervision of Stefanie Wuhrer. I was affiliated with the Mathematical Image Analysis Group of Joachim Weickert.
From 2010 to 2012, I worked as a software engineer at RIB Software AG, Stuttgart. I received a M.Sc. in Mathematics in 2010, and a Diplom-Mathematik (FH) in 2008 from the University of Applied Sciences in Stuttgart, Germany.
03/2023 - Three papers @CVPR: INSTA: Instant Neural Head Avatar, TEMPEH: Multi-view 3D Head Capture, TalkShow: Speech-driven Body and Face
09/2022 - One paper @SIGGRAPH Asia: Clothed Body Avatars from Monocular Video
08/2022 - One paper @3DV: Body Measurement Estimation with Adversarial Augmentation
07/2022 - Three papers @ECCV: MICA: Metrical 3D Face Reconstruction, TRUST: Racially Unbiased Skin Tone Estimation, and SUPR: A Sparse Unified Human Body Model
03/2022 - One paper @CVPR: EMOCA: Emotion Driven Monocular Face Capture and Animation