Olaf Dünkel

According to our database, Olaf Dünkel authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models.

Olaf Dünkel, Basavaraj Sunagad, Haoran Wang, David T. Hoffmann, Christian Theobalt, Adam Kortylewski

CoRR, May, 2026

Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence.

Artur Jesslen, Olaf Dünkel, Adam Kortylewski

CoRR, May, 2026

CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models.

León Begiristain, Olaf Dünkel, Adam Kortylewski

CoRR, May, 2026

C3PO: Canonicalization of 3D Pose from Partial Views With Generalizable Correspondence Features.

Yu Chi, Leonhard Sommer, Olaf Dünkel, Dominik Muhle, Daniel Cremers, Christian Theobalt, Adam Kortylewski

Proceedings of the International Conference on 3D Visio, 2026

2025

Attention (as Discrete-Time Markov) Chains.

Yotam Erel, Olaf Dünkel, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, Amit H. Bermano

CoRR, July, 2025

Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels.

Olaf Dünkel, Thomas Wimmer, Christian Theobalt, Christian Rupprecht, Adam Kortylewski

CoRR, June, 2025

CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts.

Olaf Dünkel, Artur Jesslen, Jiahao Xie, Christian Theobalt, Christian Rupprecht, Adam Kortylewski

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

Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space.

Leonhard Sommer, Olaf Dünkel, Christian Theobalt, Adam Kortylewski

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

2024

Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling.

Olaf Dünkel, Tim Salzmann, Florian Pfaff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Sample-Specific Output Constraints for Neural Networks.

Mathis Brosowsky, Florian Keck, Olaf Dünkel, Marius Zöllner

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sample-Specific Output Constraints for Neural Networks.

Mathis Brosowsky, Olaf Dünkel, Daniel Slieter, Marius Zöllner

CoRR, 2020