| Semantic3d. net: A new large-scale point cloud classification benchmark T Hackel, N Savinov, L Ladicky, JD Wegner, K Schindler, M Pollefeys arXiv preprint arXiv:1704.03847, 2017 | 888 | 2017 |
| Fast semantic segmentation of 3D point clouds with strongly varying density T Hackel, JD Wegner, K Schindler ISPRS annals of the photogrammetry, remote sensing and spatial information …, 2016 | 394 | 2016 |
| Contour detection in unstructured 3D point clouds T Hackel, JD Wegner, K Schindler Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 229 | 2016 |
| Joint classification and contour extraction of large 3D point clouds T Hackel, JD Wegner, K Schindler ISPRS Journal of Photogrammetry and Remote Sensing 130, 231-245, 2017 | 63 | 2017 |
| Semantic3D. net: A new Large-scale Point Cloud Classification Benchmark. arXiv 2017 T Hackel, N Savinov, L Ladicky, JD Wegner, K Schindler, M Pollefeys arXiv preprint arXiv:1704.03847, 0 | 57 | |
| Track detection in 3D laser scanning data of railway infrastructure T Hackel, D Stein, I Maindorfer, M Lauer, A Reiterer 2015 IEEE International Instrumentation and Measurement Technology …, 2015 | 31 | 2015 |
| Large-scale supervised learning For 3D point cloud labeling: Semantic3d. Net T Hackel, JD Wegner, N Savinov, L Ladicky, K Schindler, M Pollefeys Photogrammetric Engineering & Remote Sensing 84 (5), 297-308, 2018 | 21 | 2018 |
| Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs T Hackel, M Usvyatsov, S Galliani, JD Wegner, K Schindler 40th German Conference on Pattern Recognition (GCPR 2018), 2018 | 20 | 2018 |
| Large-scale Machine Learning for Point Cloud Processing T Hackel ETH Zurich, 2018 | 1 | 2018 |
| Decoding AI Discourse: Analyzing German and Chinese Media (2018-2023) Using Machine Learning Methods K Qiu Available at SSRN 4825371, 2024 | | 2024 |
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichVerified email at ethz.ch
