How Machine Perception Relates to Human Perception: Visual Saliency and Distance in a Frame-by-Frame Semantic Segmentation Task for Highly/Fully Automated Driving. - Nico Herbig 001; Frederik Wiehr; Atanas Poibrenski; Janis Sprenger; Christian Müller 014 (SEFAIAS@ICSE, 2018)

Toward a Methodology for Training with Synthetic Data on the Example of Pedestrian Detection in a Frame-by-Frame Semantic Segmentation Task. - Atanas Poibrenski; Janis Sprenger; Christian Müller 014 (SEFAIAS@ICSE, 2018)

M2P3: multimodal multi-pedestrian path prediction by self-driving cars with egocentric vision. - Atanas Poibrenski; Matthias Klusch; Igor Vozniak; Christian Müller 014 (SAC, 2020)

SIMP3: Social Interaction-Based Multi-Pedestrian Path Prediction By Self-Driving Cars. - Nora Muscholl; Atanas Poibrenski; Matthias Klusch; Patrick Gebhard (SSCI, 2020)

Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection. - Farzad Nozarian; Shashank Agarwal; Farzaneh Rezaeianaran; Danish Shahzad; Atanas Poibrenski; Christian Müller 014; Philipp Slusallek (CVPR Workshops, 2023)

Uncertainty-Aware Pseudo Labels for Domain Adaptation in Pedestrian Trajectory Prediction. - Atanas Poibrenski; Farzad Nozarian; Farzaneh Rezaeianaran; Christian Müller 014 (ITSC, 2023)