Slawomir Tadeja

Jan Helmich becomes Cambridge University’s Sports Person of the Year 2025

CHL member and PhD in Engineering student Jan Helmich, working on his thesis project under the supervision Dr Thomas Bohné has been named Cambridge University’s Sports Person of the Year. Huge congratulations to Jan! Please find more details on Trinity Hall’s website: Jan Helmich wins Cambridge University’s Sports Person of the Year

Jan Helmich becomes Cambridge University’s Sports Person of the Year 2025 Read More »

A new journal paper alert: vison-based pose estimation methods for industrial AR

Together with collaborators from Poznan University of  Technology and University of St Andrews, we published [open access] in Computers in Industry journal a new paper: Kamil Żywanowski, Mikołaj Łysakowski, Michał R. Nowicki, Jason T. Jacques, Sławomir K. Tadeja, Thomas Bohné, Piotr Skrzypczyński, Vision-based hand pose estimation methods for Augmented Reality in industry: Crowdsourced evaluation on

A new journal paper alert: vison-based pose estimation methods for industrial AR Read More »

CHL members placing high at the Oxbridge AI Challenge

On Friday, 6th November 2024, two members of the CHL, i.e.,  Tim J. Schoonbeek and Michael-J. Vogeser, reached the finals of the Oxbridge AI Challenge, placing in the top 10 out of over 220 participating teams. Their innovative project, omnAI, exemplifies the lab’s mission to bridge human and machine intelligence. OmnAI acts as a “second

CHL members placing high at the Oxbridge AI Challenge Read More »

ISMAR 2024 Best Journal Paper Honorable Mention!

The paper, co-authored by multiple CHL members, including Vicky Zhang (former IfM ISMM student), Alexander Albers (former postgraduate visiting student), who both wrote their theses at CHL and Christine Saeedi-Givi (who is working with us towards her BA) and Dr Thomas Bohné (the lab’s founder and head) and Dr Slawomir Tadeja, has been nominated for

ISMAR 2024 Best Journal Paper Honorable Mention! Read More »

Article draft featured at UniteAI

In our most recent draft, we introduced the MiraGe model, which represents 2D images using flat Gaussian components, achieving state-of-the-art reconstruction quality. MiraGe enables the manipulation of 2D images within 3D space, creating the illusion of 3D effects. We integrate MiraGe with a physics engine, enabling physics-based modifications and interactions for both 2D and 3D

Article draft featured at UniteAI Read More »