Provident Vehicle Detection at Night: The PVDN Dataset. - Lars Ohnemus; Lukas Ewecker; Ebubekir Asan; Stefan Roos; Simon T. Isele; Jakob Ketterer; Leopold Müller; Sascha Saralajew (CoRR, 2020)

Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations. - Leopold Müller; Lars Böcking; Michael Färber 001 (SafeAI@AAAI, 2022)

Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection. - Svetlana Pavlitskaya; Jonas Hendl; Sebastian Kleim; Leopold Müller; Fabian Wylczoch; J. Marius Zöllner (CoRR, 2022)

SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery. - João Cartucho; Alistair Weld; Samyakh Tukra; Haozheng Xu; Hiroki Matsuzaki; Taiyo Ishikawa; Minjun Kwon; Yongeun Jang; Kwang-Ju Kim; Gwang Lee; Bizhe Bai; Lueder A. Kahrs; et al. (CoRR, 2023)

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. - Simeon Allmendinger; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Leopold Müller; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (CoRR, 2023)

Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. - Leopold Müller; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Simeon Allmendinger; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (AAAI, 2024)

Evaluating Adversarial Attacks on Traffic Sign Classifiers Beyond Standard Baselines. - Svetlana Pavlitska; Leopold Müller; J. Marius Zöllner (ICMLA, 2024)

Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets. - Lars Böcking; Leopold Müller; Niklas Kühl 001 (CoRR, 2024)

SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery. - João Cartucho; Alistair Weld; Samyakh Tukra; Haozheng Xu; Hiroki Matsuzaki; Taiyo Ishikawa; Minjun Kwon; Yongeun Jang; Kwang-Ju Kim; Gwang Lee; Bizhe Bai; Lueder A. Kahrs; et al. (Medical Image Anal., 2024)

Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements. - Leopold Müller; Nina Schwarz; Lars Böcking; Andreas Bereczuk; Hanno Stagge; Wolfgang Kratsch; Niklas Kühl 001 (IEEE Access, 2025)

Do Edges Matter? Investigating Edge-Enhanced Pre-Training for Medical Image Segmentation. - Paul Zaha; Lars Böcking; Simeon Allmendinger; Leopold Müller; Niklas Kühl 001 (CoRR, 2025)