Stegmaier, Johannes

6 publications

MIDL 2026 A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis Yuli Wu, Fucheng Liu, Rüveyda Yilmaz, Henning Konermann, Peter Walter, Johannes Stegmaier

ICLR 2026 Learnable Sparsity for Vision Generative Models Yang Zhang, Er Jin, Wenzhong Liang, Yanfei Dong, Ashkan Khakzar, Philip Torr, Johannes Stegmaier, Kenji Kawaguchi

ICLRW 2025 Effortless Efficiency: Low-Cost Pruning of Diffusion Models Yang Zhang, Er Jin, Yanfei Dong, Ashkan Khakzar, Philip Torr, Johannes Stegmaier, Kenji Kawaguchi

AAAI 2025 LogicAD: Explainable Anomaly Detection via VLM-Based Text Feature Extraction Er Jin, Qihui Feng, Yongli Mou, Gerhard Lakemeyer, Stefan Decker, Oliver Simons, Johannes Stegmaier

ICML 2025 Minimalist Concept Erasure in Generative Models Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Philip Torr, Ashkan Khakzar, Johannes Stegmaier, Kenji Kawaguchi

ICCVW 2023 SortedAP: Rethinking Evaluation Metrics for Instance Segmentation Long Chen, Yuli Wu, Johannes Stegmaier, Dorit Merhof