Estimating Labeling Quality with Deep Object Detectors. - Christian Haase-Schütz; Heinz Hertlein; Werner Wiesbeck (IV, 2019)

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. - Di Feng; Christian Haase-Schütz; Lars Rosenbaum; Heinz Hertlein; Fabian Duffhauss; Claudius Gläser; Werner Wiesbeck; Klaus Dietmayer (CoRR, 2019)

Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning. - Christian Haase-Schütz; Rainer Stal; Heinz Hertlein; Bernhard Sick (ICPR, 2020)

Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning. - Christian Haase-Schütz; Rainer Stal; Heinz Hertlein; Bernhard Sick (CoRR, 2020)

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. - Di Feng; Christian Haase-Schütz; Lars Rosenbaum; Heinz Hertlein; Claudius Gläser; Fabian Timm; Werner Wiesbeck; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2021)

Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data. - Christian Haase-Schütz (2023)