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Martin Hahner
Martin Hahner
Sony AVS
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Cited by
Cited by
Year
Semantic understanding of foggy scenes with purely synthetic data
M Hahner, D Dai, C Sakaridis, JN Zaech, L Van Gool
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3675-3681, 2019
502019
Fog simulation on real LiDAR point clouds for 3D object detection in adverse weather
M Hahner, C Sakaridis, D Dai, L Van Gool
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
492021
Quantifying data augmentation for lidar based 3d object detection
M Hahner, D Dai, A Liniger, L Van Gool
arXiv preprint arXiv:2004.01643, 2020
272020
Lidar snowfall simulation for robust 3d object detection
M Hahner, C Sakaridis, M Bijelic, F Heide, F Yu, D Dai, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
262022
Learning accurate and human-like driving using semantic maps and attention
S Hecker, D Dai, A Liniger, M Hahner, L Van Gool
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
182020
Texture underfitting for domain adaptation
JN Zaech, D Dai, M Hahner, L Van Gool
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 547-552, 2019
92019
Simulating structure-from-motion
M Hahner, O Varesis, P Bountouris
arXiv preprint arXiv:1710.01052, 2017
12017
Scene Understanding for Driving under Adverse Conditions
M Hahner
ETH Zurich, 2022
2022
LiDAR Snowfall Simulation for Robust 3D Object Detection (Supplementary Materials)
M Hahner, C Sakaridis, M Bijelic, F Heide, F Yu, D Dai, L Van Gool
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather (Supplementary Materials)
M Hahner, C Sakaridis, D Dai, L Van Gool
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Articles 1–10