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Timo Hackel
Timo Hackel
AIPHA GmbH
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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
5352017
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
2952016
Contour detection in unstructured 3D point clouds
T Hackel, JD Wegner, K Schindler
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1302016
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
472017
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
32
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
262015
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
192018
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
142018
Large-scale Machine Learning for Point Cloud Processing
T Hackel
ETH Zurich, 2018
2018
Semantic3D. net: A new Large-scale Point Cloud Classification Benchmark Download PDF
T Hackel, N Savinov, L Ladicky, JD Wegner, K Schindler, M Pollefeys
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