Search Results - "Hertlein, Heinz"

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges by Feng, Di, Haase-Schutz, Christian, Rosenbaum, Lars, Hertlein, Heinz, Glaser, Claudius, Timm, Fabian, Wiesbeck, Werner, Dietmayer, Klaus

“…Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous…”
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Estimating Labeling Quality with Deep Object Detectors by Haase-Schutz, Christian, Hertlein, Heinz, Wiesbeck, Werner

“…Deep Learning methods are widely applied in Robotics and Automated Driving scenarios. The task of perception for Automated Driving in the real world is…”
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Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning by Haase-Schutz, Christian, Stal, Rainer, Hertlein, Heinz, Sick, Bernhard

“…State-of-the-art, high capacity deep neural networks not only require large amounts of labelled training data, they are also highly susceptible to labelling…”
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Effectiveness in the Realisation of Speaker Authentication by Hertlein, Heinz, Ariyaeeinia, Aladdin, Jeffrey, Zoe, Ramalingam, Soodamani

“…An important consideration for the deployment of speaker recognition in authentication applications is the approach to the formation of training and testing…”
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Effectiveness in open-set speaker identification by Karadaghi, Rawande, Hertlein, Heinz, Ariyaeeinia, Aladdin

“…This paper presents investigations into the relative effectiveness of two alternative approaches to open-set text-independent speaker identification (OSTI-SI)…”
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Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning by Haase-Schütz, Christian, Stal, Rainer, Hertlein, Heinz, Sick, Bernhard

“…State-of-the-art, high capacity deep neural networks not only require large amounts of labelled training data, they are also highly susceptible to label errors…”
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Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges by Feng, Di, Haase-Schütz, Christian, Rosenbaum, Lars, Hertlein, Heinz, Glaeser, Claudius, Timm, Fabian, Wiesbeck, Werner, Dietmayer, Klaus

“…Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous…”
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Shape and texture combined face recognition for detection of forged ID documents by Saez-Trigueros, Daniel, Hertlein, Heinz, Li Meng, Hartnett, Margaret

“…This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) document against the face image…”
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