Direkt zum Inhalt springen
Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

Menu

Links

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

YouTube X / Twitter Facebook

News

26.02.2025

We have twelve papers accepted to CVPR 2025. Check our publication page for more details.

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

More


This is an old revision of the document!


Johannes Michael Meier

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Fax: +49-89-289-17757
Mail: J.Meier@tum.de

Brief Bio

Ph.D. Student in Computer Vision at TUM (headed by Prof. Dr. Daniel Cremers), currently visiting ETH Zurich (in the group of Marc Pollefeys).

My research focuses on monocular 3D object detection, tracking, semi-supervised learning, domain adaptation, and few-shot learning.

I hold an M.Sc. in Computer Science from the University of Tübingen. During my studies, I worked at the Max Planck Institute for Intelligent Systems (MPI-IS) Tübingen. My Master's Thesis (in collaboration with Bosch Research) was supervised by Prof. Dr. Andreas Geiger.

Publications


Export as PDF, XML, TEX or BIB

Conference and Workshop Papers
2026
[]IDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection (J Meier, F Günther, R Marin, O Dhaouadi, J Kaiser and D Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2026.  [bibtex] [arXiv:2511.19301]
[] GrounDiff: Diffusion-Based Ground Surface Generation from Digital Surface Models (O Dhaouadi, J Meier, J Kaiser and D Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2026. ([project page]) [bibtex] [pdf] [arXiv:2511.10391]
2025
[] OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata (O Dhaouadi, R Marin, J Meier, J Kaiser and D Cremers), In 39th Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2025. ([project page]) [bibtex] [pdf] [arXiv:2509.18350]Oral Presentation
[] CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry (J* Xie, O* Dhaouadi, W Chen, J Meier, J Kaiser and D Cremers), In 47th German Conference on Pattern Recognition (GCPR), 2025. ([project page]) [bibtex] [pdf] [arXiv:2508.00568]Oral Presentation - Best Paper Award
[] Shape Your Ground: Refining Road Surfaces Beyond Planar Representations (O Dhaouadi, J Meier, J Kaiser and D Cremers), In IEEE Intelligent Vehicles Symposium, 2025. ([project page]) [bibtex] [pdf] [doi]
[] Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset (O* Dhaouadi, J* Meier, L Wahl, J Kaiser, L Scalerandi, N Wandelburg, Z Zhuo, N Berinpanathan, H Banzhaf and D Cremers), In IEEE Intelligent Vehicles Symposium, 2025. ([project page]) [bibtex] [pdf] [doi]
[] MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models (JM Meier, L Inchingolo, O Dhaouadi, Y Xia, J Kaiser and D Cremers), In International Conference on Robotics and Automation (ICRA), 2025.  [bibtex] [pdf]Oral Presentation
2024
[] CARLA Drone: Monocular 3D Object Detection from a Different Perspective (JM Meier, L Scalerandi, O Dhaouadi, J Kaiser, N Araslanov and D Cremers), In 46th German Conference on Pattern Recognition (GCPR), 2024. ([project page]) [bibtex] [pdf]Oral Presentation
2023
[] NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging (K Guirguis, J Meier, G Eskandar, M Kayser, B Yang and J Beyerer), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.  [bibtex] [pdf]
2021
[] A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines (V Borisov, J Meier, Jvan den Heuvel, H Jalali and G Kasneci), In Neural Information Processing Systems Conference - NeurIPS 2021: eXplainable AI approaches for debugging and diagnosis workshop, 2021.  [bibtex] [pdf]
Powered by bibtexbrowser
Export as PDF, XML, TEX or BIB

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

YouTube X / Twitter Facebook

News

26.02.2025

We have twelve papers accepted to CVPR 2025. Check our publication page for more details.

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

More