Mark Weber

I am a 5th-year PhD Student at the Technical University Munich and a member of the Dynamic Vision and Learning Group as well as the Computer Vision Group of the Computer Science department. My advisors are Professor Laura Leal-Taixé and Professor Daniel Cremers.

During my PhD, I spend 9 month doing research at Google and 9 month doing research at ByteDance / TikTok, both under the supervision of Liang-Chieh Chen.

Before that, I obtained my Bachelor and Master degree at the RWTH Aachen Univeristy, where I worked with Dr. Aljosa Osep and Professor Bastian Leibe.

Email / Google Scholar / LinkedIn / Twitter

Research

My research interests lie in generative modeling and scene understanding. For a full list of my publications, please refer to my Google Scholar.

	Embedding-free Image Generation from Bit Tokens Mark Weber, Lijun Yu, Xueqing Deng, Qihang Yu, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen preprint, arXiv paper / project page
	An Image is Worth 32 Tokens for Reconstruction and Generation Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen NeurIPS, 2024 paper / project page / media (German)
	MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Daniel Cremers, Mark Pollefeys, Luc Van Gool ECCV, 2024 paper / project page
	DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çağlar Şenaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé CVPR, 2022 paper / project page
	STEP: Segmenting and Tracking Every Pixel Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixe, Liang-Chieh Chen NeurIPS Track on Datasets and Benchmarks, 2021 paper
	DeepLab2: A TensorFlow Library for Deep Labeling Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixe, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen Tech report*, arXiv paper / project page
	4D Panoptic LiDAR Segmentation Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé CVPR, 2021 paper / project page
	Single-shot Panoptic Segmentation Mark Weber, Jonathon Luiten, Bastian Leibe IROS, 2021 paper
	4D Generic Video Object Proposals Aljosa Osep, Paul Voigtlaender, Mark Weber, Jonathon Luiten, Bastian Leibe ICRA, 2020 paper
	Visual Person Understanding Through Multi-task and Multi-dataset Learning Kilian Pfeiffer, Alexander Hermans, Istvan Sarandi, Mark Weber, Bastian Leibe GCPR, 2019 paper

Conference Workshops

Over the course of my PhD, I co-organized multiple workshops in the area of segmentation and tracking.

	2nd Workshop on Tracking and Its Many Guises CVPR 2023 workshop page
	How Far Can Synthetic Data Take us? -- 7th Workshop on Benchmarking Multi-Target Tracking CVPR 2022 workshop page
	Segmenting and Tracking Every Point and Pixel: 6th Workshop on Benchmarking Multi-Target Tracking ICCV 2021 workshop page

Thanks to Jon Barron