| 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 | 77 | 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 | 75 | 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 | 60 | 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 | 52 | 2021 |
| Single-Shot Panoptic Segmentation M Weber, J Luiten, B Leibe IEEE/RSJ Int. Conf. Intell. Robots and Systems (IROS), 8476-8483, 2020 | 25 | 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 | 22 | 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 | 8 | 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 | 5 | 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 | 1 | 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 | | 2019 |
Laura Leal-TaixéSenior Research Manager at NVIDIA. Prev. Prof. TU Munich在 tum.de 的电子邮件经过验证
