Wiktor Adam Mucha

Wiktor Adam Mucha is a PreDoc Researcher at TU Wien's Faculty of Informatics, Department of Computer Vision. He is affiliated with the visuAAL project (2020–2026) focused on Egocentric Vision for Active Assisted Living. His research emphasizes egocentric vision systems, hand pose estimation, action recognition, and privacy-preserving sensor technologies. Mucha collaborates with the CMS collaboration in particle physics, contributing to high-energy experiments.

His research interests center on computer vision applications in assistive technologies, wearable devices, and robotics. He explores how egocentric perspectives (first-person viewpoints) can enhance human-robot interaction through hand-object interaction analysis and depth sensing innovations. Recent work includes developing systems like SHARP for 3D hand segmentation and TEXT2TASTE for intelligent reading assistance using large language models.

Publications highlight advancements in 2D/3D hand pose estimation, egocentric action recognition frameworks, and privacy solutions for depth sensors in healthcare. His particle physics contributions address axion-like particles and heavy resonance detection at the LHC.

Advising no documented students, Mucha's work is supported by projects like visuAAL. His lab activities involve interdisciplinary teams advancing computer vision for medical and assistive applications.