Quantification of Uncertainties in Deep Learning-based Environment Perception. - Marco Braun; Moritz Luszek; Jan Siegemund; Kevin Kollek; Anton Kummert (COINS, 2021)

Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time. - Marco Braun; Moritz Luszek; Mirko Meuter; Dominic Spata; Kevin Kollek; Anton Kummert (ITSC, 2022)

Real-Time Traffic Counting on Resource Constrained Embedded Systems. - Kevin Kollek; Marco Braun; Jan-Hendrik Meusener; Anton Kummert (MWSCAS, 2022)

Semantic Segmentation of Radar Detections using Convolutions on Point Clouds. - Marco Braun; Alessandro Cennamo; Markus Schoeler; Kevin Kollek; Anton Kummert (CoRR, 2023)

RoofSam: Adapting the Segment Anything Model to Rooftop Classification in Aerial Images. - Adrian Bauer; Jan-Christoph Krabbe; Kevin Kollek; Jörg Velten; Anton Kummert (IEEECONF, 2024)

Semantic Image Segmentation Annotation Refinement Using SAM. - Jan-Christoph Krabbe; Adrian Bauer; Kevin Kollek; Jörg Velten; Anton Kummert (IEEECONF, 2024)

Deep Learning Method for Doppler Disambiguation. - Marco Braun; Adrian Becker; Mirko Meuter; Simon Roesler; Kevin Kollek; Anton Kummert (ISCAS, 2024)

Empirical Study on the Impact of Few-Cost Proxies. - Kevin Kollek; Marco Braun; Jan-Hendrik Meusener; Jan-Christoph Krabbe; Anton Kummert (ISCAS, 2024)

FPSeg: Flexible Promptable Semantic Segmentation for Edge Devices. - Jan-Christoph Krabbe; Adrian Bauer; Kevin Kollek; Jan-Hendrik Meusener; Anton Kummert (ISCAS, 2024)