News
- July 2, 2025
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 …
- June 24, 2025
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 …
- December 11, 2024
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 …
- October 21, 2024
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 …
- October 3, 2024
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 …
- September 26, 2024
A paper accepted at NeurIPS 2024
A paper co-authored by Dr Sławomir Tadeja from the CHL has been accepted for inclusion at the prestigious 2024 Conference on Neural Information Processing Systems (NeurIPS 2024): J. Waczyńska, P. Borycki, J. Kaleta, S. Tadeja, P. Spurek, D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup, The 2024 Neural Information Processing …
- September 4, 2024
AR for exoskeleton fitting presented at the ongoing IEEE RAS/EMBS BioRob 2024
Christine Saeedi-Givi is presenting her first-author paper at the 10th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2024): Exergame-Like Feedback for Passive Upper Limbs Exoskeleton Fitting: A Feasibility Study with Augmented Reality Author(s): Christine Saeedi-Givi, Lennard Schwaab, Thomas Bohné, Slawomir Konrad Tadeja Christine will return to CHL …
- August 24, 2024
A paper and a poster accepted at the inaugural 2024 IEEE International Symposium on Emerging Metaverse (ISEMV)
We are pleased to announce that a paper co-authored by CHL members Dr S.K. Tadeja and Dr T. Bohné was accepted for presentation at the 2024 IEEE International Symposium on Emerging Metaverse (ISEMV) collocated with the IEEE ISMAR 2024 conference: S.K. Tadeja, A. Filipowski, M. Frankowski, M. Igras-Cybulska, T. …
- August 21, 2024
Three workshop papers accepted at IEEE ISMAR-Adjunct 2024!
Three workshop papers co-authored by Dr Thomas Bohne and Dr Slawomir Tadeja, as well as former visiting student Alex Albers (currently PhD student at ETH), have been accepted for publication at IEEE ISMAR-Adjunct. Please find more details below. The MASK! Mobile Analytics from Situated Knowledge, Friday, October 25, 2024 …
- August 14, 2024
A new journal article at MTAP
Based on sixteen domain expert interviews, we developed a tool to help prepare customised deployment strategies for AR-based assistance systems utilising manual assembly as the main example. Please find this article open access at this link: Bock, L., Bohné, T. & Tadeja, S.K. Decision support for augmented reality-based assistance …