Kainz, Bernhard

18 publications

NeurIPS 2025 Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit, Hadrien Reynaud, Dong Yang, Pengfei Guo, Marc Edgar, Daguang Xu, Bernhard Kainz, Bjoern Menze

NeurIPS 2025 From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models Weitong Zhang, Chengqi Zang, Bernhard Kainz

CVPR 2025 Image Generation Diversity Issues and How to Tame Them Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz

NeurIPS 2025 NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI Cosmin I. Bercea, Jun Li, Philipp Raffler, Evamaria Olga Riedel, Lena Schmitzer, Angela Kurz, Felix Bitzer, Paula Roßmüller, Julian Canisius, Mirjam L. Beyrle, Che Liu, Wenjia Bai, Bernhard Kainz, Julia A. Schnabel, Benedikt Wiestler

ICCV 2025 SpinMeRound: Consistent Multi-View Identity Generation Using Diffusion Models Stathis Galanakis, Alexandros Lattas, Stylianos Moschoglou, Bernhard Kainz, Stefanos Zafeiriou

ICLRW 2025 Strategic LLM Decoding Through Bayesian Games Weitong Zhang, Chengqi Zang, Bernhard Kainz

ECCV 2024 Arc2Face: A Foundation Model for ID-Consistent Human Faces Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Jiankang Deng, Bernhard Kainz, Stefanos Zafeiriou

ECCVW 2024 Data-Efficient Generation for Dataset Distillation Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz

NeurIPS 2024 Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz

ECCV 2024 Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Prof Arndt Hartmann, Matthias W. Beckmann, Peter Fasching, Andreas K Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger

AAAI 2024 Trade-Offs in Fine-Tuned Diffusion Models Between Accuracy and Interpretability Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz

ICCV 2023 Foreground-Background Separation Through Concept Distillation from Generative Image Foundation Models Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz

CVPR 2022 A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc

ECCV 2022 Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz

ECCVW 2022 Self-Supervised 3D Human Pose Estimation in Static Video via Neural Rendering Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz

CVPR 2021 Unsupervised Human Pose Estimation Through Transforming Shape Templates Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz

MLOSS 2020 Geomstats: A Python Package for Riemannian Geometry in Machine Learning Nina Miolane, Nicolas Guigui, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Daniel Brooks, Bernhard Kainz, Claire Donnat, Susan Holmes, Xavier Pennec

JMLR 2019 Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning Daniel C. Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker