Mariia Gladkova
PhD Student
Technical University of MunichSchool of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany
Tel: +49-89-289-17763
Fax: +49-89-289-17757
Office: 02.09.038
Mail: Mariia.Gladkova@in.tum.de
Publications
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Journal Articles
2023
[] Robust Autonomous Vehicle Pursuit without Expert Steering Labels , In IEEE Robotics and Automation Letters (RA-L), volume 8, 2023. ([arXiv][code])
Preprints
2024
[] VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition , In arXiv preprint arXiv:2403.14594, 2024.
Conference and Workshop Papers
2024
[] Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments , In International Conference on Intelligent Robots and Systems (IROS), 2024.
[] Gaussian Splatting in Style , In German Conference on Pattern Recognition (GCPR), 2024.
2023
[] CASSPR: Cross Attention Single Scan Place Recognition , In IEEE International Conference on Computer Vision (ICCV), 2023. ([code])
2022
[] DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment , In International Conference on Intelligent Robots and Systems (IROS), 2022. ([project page])
2021
[] Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry , In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2021. ([project page])
Courses
- WS24: Master Seminar Recent Advances in 4D Computer Vision together with Cecilia Curreli.
- SS24: Master Seminar HuMANS: 3D Human Motion Analysis together with Cecilia Curreli.
- SS23: Practical course Learning For Self-Driving Cars and Intelligent Systems together with Qadeer Khan.
- WS22: Practical course Learning For Self-Driving Cars and Intelligent Systems together with Qadeer Khan.
- SS22: Practical course Learning For Self-Driving Cars and Intelligent Systems together with Qadeer Khan.
- WS21: Practical course Learning For Self-Driving Cars and Intelligent Systems together with Qadeer Khan.
Student Projects (TUM students only)
I am always looking for talented and enthusiastic students, so feel free to contact me for a thesis topic or a project. In your email, please include your latest TUM transcript along with a short resume and highlight your programming skills and prior exposures to the computer vision field (e.g. lectures, practical courses, personal projects and etc.).
Open student projects (contact me if interested)
- Cross-modal Text-to-Image large-scale global localization
- Text-guided 4D segmentation using Radiance fields / Gaussian splats