Sample-Specific Output Constraints for Neural Networks. - Mathis Brosowsky; Olaf Dünkel; Daniel Slieter; Marius Zöllner 001 (CoRR, 2020)

Sample-Specific Output Constraints for Neural Networks. - Mathis Brosowsky; Florian Keck; Olaf Dünkel; Marius Zöllner 001 (AAAI, 2021)

Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks. - Mathis Brosowsky; Paul Orschau; Olaf Dünkel; Philip Elspas; Daniel Slieter; Marius Zöllner 001 (SSCI, 2021)

Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling. - Olaf Dünkel; Tim Salzmann; Florian Pfaff (CVPR, 2024)

Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space. - Leonhard Sommer; Olaf Dünkel; Christian Theobalt; Adam Kortylewski (CVPR, 2025)

Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels. - Olaf Dünkel; Thomas Wimmer 001; Christian Theobalt; Christian Rupprecht 001; Adam Kortylewski (CoRR, 2025)

CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts. - Olaf Dünkel; Artur Jesslen; Jiahao Xie; Christian Theobalt; Christian Rupprecht 001; Adam Kortylewski (CoRR, 2025)

Attention (as Discrete-Time Markov) Chains. - Yotam Erel; Olaf Dünkel; Rishabh Dabral; Vladislav Golyanik; Christian Theobalt; Amit H. Bermano (CoRR, 2025)