| 2026 | AAAI | Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation. | Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek |
| 2025 | WACV | Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks. | Alessio Quercia, Erenus Yildiz, Zhuo Cao, Kai Krajsek, Abigail Morrison, Ira Assent, Hanno Scharr |
| 2025 | VISIGRAPP | Rescuing Easy Samples in Self-Supervised Pretraining. | Qin Wang, Kai Krajsek, Hanno Scharr |
| 2016 | ACCV | An Online Algorithm for Efficient and Temporally Consistent Subspace Clustering. | Vasileios Zografos, Kai Krajsek, Bjoern H. Menze |
| 2012 | CVPR | A Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI). | Kai Krajsek, Hanno Scharr |
| 2010 | CVPR | Diffusion filtering without parameter tuning: Models and inference tools. | Kai Krajsek, Hanno Scharr |
| 2009 | ICCV | Riemannian Bayesian estimation of diffusion tensor images. | Kai Krajsek, Marion I. Menzel, Hanno Scharr |
| 2008 | ECCV | Riemannian Anisotropic Diffusion for Tensor Valued Images. | Kai Krajsek, Marion I. Menzel, Michael Zwanger, Hanno Scharr |
| 2007 | ICIP | Highly Accurate Orientation Estimation using Steerable Filters. | Jakub K. Kominiarczuk, Kai Krajsek, Rudolf Mester |
| 2006 | ICIP | A Maximum Likelihood Estimator for Choosing the Regularization Parameters in Global Optical Flow Methods. | Kai Krajsek, Rudolf Mester |