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ORCIDChristian Haase-Schütz
Person information
- affiliation: Robert Bosch GmbH, Abstatt, Germany
- affiliation: Karlsruhe Institute of Technology, Institute of Radio Frequency Engineering and Electronics, Germany
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Books and Theses
- 2023
[b1]Christian Haase-Schütz:
Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data. University of Kassel, Germany, 2023, ISBN 978-3-7376-1156-5, pp. 1-322
Journal Articles
- 2021
- [j1]Di Feng
, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Claudius Gläser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer:
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. IEEE Trans. Intell. Transp. Syst. 22(3): 1341-1360 (2021)
Conference and Workshop Papers
- 2020
- [c2]Christian Haase-Schütz, Rainer Stal, Heinz Hertlein, Bernhard Sick:
Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning. ICPR 2020: 9483-9490 - 2019
- [c1]Christian Haase-Schütz, Heinz Hertlein, Werner Wiesbeck:
Estimating Labeling Quality with Deep Object Detectors. IV 2019: 33-38
Informal and Other Publications
- 2020
- [i2]Christian Haase-Schütz, Rainer Stal, Heinz Hertlein, Bernhard Sick:
Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning. CoRR abs/2002.02705 (2020) - 2019
- [i1]Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Fabian Duffhauss, Claudius Gläser, Werner Wiesbeck, Klaus Dietmayer:
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. CoRR abs/1902.07830 (2019)
Coauthor Index
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