Tom Wehrbein

Tom Wehrbein is a PhD researcher at the Institut für Informationsverarbeitung (TNT) at Leibniz University Hannover, specializing in 3D human motion capture and normalizing flows. He earned his M.Sc. in Computer Science from the same institution.

• Education: M.Sc. in Computer Science (2020), Leibniz University Hannover; B.Sc. in Computer Science (completed before 2017)

His research focuses on computer vision, deep learning, and probabilistic modeling for human pose estimation. He has contributed to advancements in 3D human mesh recovery, industrial anomaly detection, and metagenomic analysis.

Recent publications highlight his work on cross-scale flows, kinematic alignment, and uncertainty quantification in pose estimation. He interned at Epic Games (2022) working on 3D human pose and shape estimation.

• Scientific Awards: Preis des Präsidiums (2017), KI Talente 2019 (B.Sc. thesis award)

He actively develops open-source tools, including the official implementation of probabilistic 3D human pose estimation models on GitHub. His work integrates interdisciplinary approaches in machine learning, computer vision, and biomedical engineering.