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Christian 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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2020 – today
- 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 - 2021
- [j1]Di Feng
, Christian Haase-Schütz
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) - 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 - [i2]Christian Haase-Schütz
Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning. CoRR abs/2002.02705 (2020)
2010 – 2019
- 2019
- [c1]Christian Haase-Schütz
Estimating Labeling Quality with Deep Object Detectors. IV 2019: 33-38 - [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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