Mark Weber
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4D Panoptic LiDAR Segmentation
M Aygun, A Osep, M Weber, M Maximov, C Stachniss, J Behley, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
STEP: Segmenting and Tracking Every Pixel
M Weber, J Xie, M Collins, Y Zhu, P Voigtlaender, H Adam, B Green, ...
Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
A Toker, L Kondmann, M Weber, M Eisenberger, A Camero, J Hu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
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, ...
arXiv preprint arXiv:2106.09748, 2021
Single-Shot Panoptic Segmentation
M Weber, J Luiten, B Leibe
IEEE/RSJ Int. Conf. Intell. Robots and Systems (IROS), 8476-8483, 2020
4D generic video object proposals
A Ošep, P Voigtlaender, M Weber, J Luiten, B Leibe
2020 IEEE International Conference on Robotics and Automation (ICRA), 10031 …, 2020
Visual person understanding through multi-task and multi-dataset learning
K Pfeiffer, A Hermans, I Sárándi, M Weber, B Leibe
Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019
An Image is Worth 32 Tokens for Reconstruction and Generation
Q Yu, M Weber, X Deng, X Shen, D Cremers, LC Chen
arXiv preprint arXiv:2406.07550, 2024
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
L Yang, L Hoyer, M Weber, T Fischer, D Dai, L Leal-Taixé, D Cremers, ...
Synthetic Data for Computer Vision Workshop@ CVPR 2024, 2024
AutoLane: An Open-source Tool for Semi-automatic Analysis of Gel Electrophoresis Images
M Weber, VM Rusu, EA Liehn, R Florescu, A Schuh, M Rusu, S Jonas
doi:10.3205/19gmds098, 2019
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