Advanced Active Learning Strategies for Object Detection. - Sebastian Schmidt 006; Qing Rao; Julian Tatsch; Alois C. Knoll (IV, 2020)

Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss. - Sebastian Schmidt 006; Stephan Günnemann (BMVC, 2023)

Deep Sensor Fusion with Constraint Safety Bounds for High Precision Localization. - Sebastian Schmidt 006; Ludwig Stumpp; Diego Valverde; Stephan Günnemann (IROS, 2024)

A Unified Approach Towards Active Learning and Out-of-Distribution Detection. - Sebastian Schmidt 006; Leonard Schenk; Leo Schwinn; Stephan Günnemann (CoRR, 2024)

Generalized Synchronized Active Learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems. - Sebastian Schmidt 006; Lukas Stappen; Leo Schwinn; Stephan Günnemann (IEEE Robotics Autom. Lett., 2024)

Joint Out-of-Distribution Filtering and Data Discovery Active Learning. - Sebastian Schmidt 006; Leonard Schenk; Leo Schwinn; Stephan Günnemann (CVPR, 2025)

Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation. - Sebastian Schmidt 006; Julius Körner; Dominik Fuchsgruber; Stefano Gasperini; Federico Tombari; Stephan Günnemann (CoRR, 2025)

Effective Data Pruning through Score Extrapolation. - Sebastian Schmidt 006; Prasanga Dhungel; Christoffer Löffler; Björn Nieth; Stephan Günnemann; Leo Schwinn (CoRR, 2025)