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Technical University of Munich

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Mark Weber

PhD StudentTechnical University of Munich

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

Office: 02.09.034
Mail: mark.weber@in.tum.de

Google Scholar, Twitter, LinkedIn, DeepLab2

About

Mark obtained his M.Sc. in Computer Science (minor Medical Science) from the RWTH Aachen University in 2019. During his studies, Mark worked with Dr. Aljosa Osep and Prof. Bastian Leibe on panoptic segmentation and on open-set video object proposals. Before that, he spent one semester abroad at the University of California, Davis. In summer 2020, Mark did a research internship at Google where he continued working as a part-time student researcher until early 2021. In October 2020, Mark joined the Dynamic Vision and Learning group (DVL) and the Computer Vision Group (CVG) to pursue his Ph.D. under the supervision of Prof. Dr. Leal-Taixé and Prof. Daniel Cremers. His current research interests lie with (video) panoptic segmentation.

Prospective Students

  • Please do not email me for a Bachelor thesis.
  • Please do not email me for an external thesis.
  • For a master thesis or guided research project, please attach your CV and transcript.
  • I mostly recruit students that took our lectures prior to the project.
  • My topics are usually related to segmentation tasks, but I'm always interested in your proposal!

Teaching

  • Computer Vision III: Detection, Segmentation and Tracking (CV3DST) in SS22.
  • Computer Vision III: Detection, Segmentation and Tracking (CV3DST) in WS21.


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2022
Conference and Workshop Papers
[]DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation (A Toker, L Kondmann, M Weber, M Eisenberger, C Andres, J Hu, A Hoderlein, C Senaras, T Davis, D Cremers, G Marchisio, X Zhu and L Leal-Taixe), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.  [bibtex] [pdf]
2021
Preprints
[]DeepLab2: A TensorFlow Library for Deep Labeling (M Weber, H Wang, S Qiao, J Xie, MD Collins, Y Zhu, L Yuan, D Kim, Q Yu, D Cremers and others), In arXiv preprint arXiv:2106.09748, 2021.  [bibtex]
Conference and Workshop Papers
[]4D Panoptic LiDAR Segmentation (M Aygun, A Osep, M Weber, M Maximov, C Stachniss, J Behley and L Leal-Taixé), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.  [bibtex]
[]STEP: Segmenting and Tracking Every Pixel (M Weber, J Xie, M Collins, Y Zhu, P Voigtlaender, H Adam, B Green, A Geiger, B Leibe, D Cremers and others), In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Track on Datasets and Benchmarks), volume 1, 2021.  [bibtex]
2020
Conference and Workshop Papers
[]4D generic video object proposals (A Ošep, P Voigtlaender, M Weber, J Luiten and B Leibe), In International Conference on Robotics and Automation (ICRA), 2020.  [bibtex]
[]Single-Shot Panoptic Segmentation (M Weber, J Luiten and B Leibe), In International Conference on Intelligent Robots and Systems (IROS), 2020.  [bibtex]
2019
Conference and Workshop Papers
[]Visual person understanding through multi-task and multi-dataset learning (K Pfeiffer, A Hermans, I Sárándi, M Weber and B Leibe), In German Conference on Pattern Recognition (GCPR), 2019.  [bibtex]
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Informatik IX
Computer Vision Group

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

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News

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023.

31.08.2022

Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.

17.07.2022

MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.

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