Login
Mateo de Mayo
PhD StudentTechnical University of MunichSchool of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany
Tel: +49-89-289-17780
Fax: +49-89-289-17757
Office: 02.09.035
Mail: mateo.demayo@tum.de
After working on open-source VR and AR infrastructure, and realizing the ever-increasing importance visual-inertial tracking will have in the coming years. I am now researching new methods on how to reach sub-mm egocentric tracking accuracy with low computational effort.
My interests are research questions around how to solve tracking in challenging conditions, where the challenges can range from strictly computational, to proper domain challenges like motion blur and noisy samples. Furthermore, from an XR perspective, improving the human-tracking perception and reducing kinetosis effects are also important problems.
Feel free to email me for research collaborations around this.
Publications
Export as PDF, XML, TEX or BIB
Conference and Workshop Papers
2025
[] 
The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking , In International Conference on Intelligent Robots and Systems (IROS), 2025. ([project page])
Teaching
- Summer Semester 2025: Vision-Based Navigation Practical Course together with Jason Chui.
- Winter Semester 2025: Vision-Based Navigation Practical Course together with Jason Chui and Jonathan Eichhorn.
Student Projects
- Supervision (with Yuesong Shen): Pranav Athrapullikal, "Deep Learning-based Keypoint Matching for Visual-Inertial Odometry", Master Thesis, May 2025. thesis slides
- Supervision (with Dominik Muhle): Pierre Frédéric Reboud, "Robust Depth Regularization in Gaussian Splatting", Master Thesis, June 2025. thesis slides
