Sebastian Schmidt

17 papers A* 1A 2C 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Amplified Patch-Level Differential Privacy for Free via Random Cropping.
CoRR
Kaan Durmaz, Jan Schuchardt, Sebastian Schmidt, Stephan Günnemann
2026 J jnl
Amplified Patch-Level Differential Privacy for Free via Random Cropping.
Trans. Mach. Learn. Res.
Kaan Durmaz, Jan Schuchardt, Sebastian Schmidt, Stephan Günnemann
2025 J jnl
A Machine Learning Perspective on Automated Driving Corner Cases.
CoRR
Sebastian Schmidt, Julius Körner, Stephan Günnemann
2025 J jnl
A Unified Approach Towards Active Learning and Out-of-Distribution Detection.
Trans. Mach. Learn. Res.
Sebastian Schmidt, Leonard Schenk, Leo Schwinn, Stephan Günnemann
2025 J jnl
Effective Data Pruning through Score Extrapolation.
CoRR
Sebastian Schmidt, Prasanga Dhungel, Christoffer Löffler, Björn Nieth, Stephan Günnemann, Leo Schwinn
2025 J jnl
GeoDiffusion: A Training-Free Framework for Accurate 3D Geometric Conditioning in Image Generation.
CoRR
Phillip Mueller, Talip Uenlue, Sebastian Schmidt, Marcel Kollovieh, Jiajie Fan, Stephan Günnemann, Lars Mikelsons
2025 A* conf
Joint Out-of-Distribution Filtering and Data Discovery Active Learning.
CVPR
Sebastian Schmidt, Leonard Schenk, Leo Schwinn, Stephan Günnemann
2025 J jnl
Joint Out-of-Distribution Filtering and Data Discovery Active Learning.
CoRR
Sebastian Schmidt, Leonard Schenk, Leo Schwinn, Stephan Günnemann
2025 J jnl
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation.
CoRR
Sebastian Schmidt, Julius Körner, Dominik Fuchsgruber, Stefano Gasperini, Federico Tombari, Stephan Günnemann
2025 J jnl
Scalable Object Detection in the Car Interior With Vision Foundation Models.
CoRR
Bálint Mészáros, Ahmet Firintepe, Sebastian Schmidt, Stephan Günnemann
2025 J jnl
Unexplored flaws in multiple-choice VQA evaluations.
CoRR
Fabio Rosenthal, Sebastian Schmidt, Thorsten Graf, Thorsten Bagodonat, Stephan Günnemann, Leo Schwinn
2024 J jnl
A Unified Approach Towards Active Learning and Out-of-Distribution Detection.
CoRR
Sebastian Schmidt, Leonard Schenk, Leo Schwinn, Stephan Günnemann
2024 A conf
Deep Sensor Fusion with Constraint Safety Bounds for High Precision Localization.
IROS
Sebastian Schmidt, Ludwig Stumpp, Diego Valverde, Stephan Günnemann
2024 J jnl
Generalized Synchronized Active Learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems.
IEEE Robotics Autom. Lett.
Sebastian Schmidt, Lukas Stappen, Leo Schwinn, Stephan Günnemann
2023 A conf
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss.
BMVC
Sebastian Schmidt, Stephan Günnemann
2023 J jnl
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss.
CoRR
Sebastian Schmidt, Stephan Günnemann
2020 C conf
Advanced Active Learning Strategies for Object Detection.
IV
Sebastian Schmidt, Qing Rao, Julian Tatsch, Alois C. Knoll