Sebastian Schmidt

According to our database, Sebastian Schmidt authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Amplified Patch-Level Differential Privacy for Free via Random Cropping.

Kaan Durmaz, Jan Schuchardt, Sebastian Schmidt, Stephan Günnemann

Trans. Mach. Learn. Res., 2026

2025

Unexplored flaws in multiple-choice VQA evaluations.

Fabio Rosenthal, Sebastian Schmidt, Thorsten Graf, Thorsten Bagodonat, Stephan Günnemann, Leo Schwinn

CoRR, November, 2025

A Machine Learning Perspective on Automated Driving Corner Cases.

Sebastian Schmidt, Julius Körner, Stephan Günnemann

CoRR, October, 2025

Scalable Object Detection in the Car Interior With Vision Foundation Models.

Bálint Mészáros, Ahmet Firintepe, Sebastian Schmidt, Stephan Günnemann

CoRR, August, 2025

Effective Data Pruning through Score Extrapolation.

Sebastian Schmidt, Prasanga Dhungel, Christoffer Löffler, Björn Nieth, Stephan Günnemann, Leo Schwinn

CoRR, June, 2025

A Unified Approach Towards Active Learning and Out-of-Distribution Detection.

Sebastian Schmidt, Leonard Schenk, Leo Schwinn, Stephan Günnemann

Trans. Mach. Learn. Res., 2025

Prior2former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation.

Sebastian Schmidt, Julius Körner, Dominik Fuchsgruber, Stefano Gasperini, Federico Tombari, Stephan Günnemann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GeoDiffusion: A Training-Free Framework for Accurate 3D Geometric Conditioning in Image Generation.

Phillip Mueller, Talip Uenlue, Sebastian Schmidt, Marcel Kollovieh, Jiajie Fan, Stephan Günnemann, Lars Mikelsons

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Joint Out-of-Distribution Filtering and Data Discovery Active Learning.

Sebastian Schmidt, Leonard Schenk, Leo Schwinn, Stephan Günnemann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Generalized Synchronized Active Learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems.

Sebastian Schmidt, Lukas Stappen, Leo Schwinn, Stephan Günnemann

IEEE Robotics Autom. Lett., October, 2024

Deep Sensor Fusion with Constraint Safety Bounds for High Precision Localization.

Sebastian Schmidt, Ludwig Stumpp, Diego Valverde, Stephan Günnemann

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss.

Sebastian Schmidt, Stephan Günnemann

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2020

Advanced Active Learning Strategies for Object Detection.

Sebastian Schmidt, Qing Rao, Julian Tatsch, Alois C. Knoll

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020