Y. Ju, A. Bruhn, und M. Breuß. Scale space and variational methods in computer vision : 5th International Conference, SSVM 2015, 9087, Seite 538-550. Cham, Springer, (2015)
H. Men, V. Hosu, H. Lin, A. Bruhn, und D. Saupe. 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), Seite 1-6. IEEE, (2020)
L. Mehl, C. Beschle, A. Barth, und A. Bruhn. Dataset, (2022)Related to: L. Mehl, C. Beschle, A. Barth, A. Bruhn: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation. Proc. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM). Lecture Notes in Computer Science, Vol. 10302, 140-152, Springer, 2021. doi: 10.1007/978-3-030-75549-2_12.
L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, und A. Bruhn. Dataset, (2023)Related to: Lukas Mehl, Jenny Schmalfuss, Azin Jahedi, Yaroslava Nalivayko, Andrés Bruhn: Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. arXiv: 2303.01943.
J. Schmalfuss, C. Riethmüller, M. Altenbernd, K. Weishaupt, und D. Göddeke. Presentations and Plenary videos to 9th edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2021), Barcelona, Scipedia, S.L., (2021)
J. Schmalfuß, P. Scholze, und A. Bruhn. Computer Vision – ECCV 2022, Volume 22 von Lecture Notes in Computer Science, Seite 183-200. Cham, Springer, (2022)
J. Schmalfuß, L. Mehl, und A. Bruhn. Dataset, (2023)Related to: Jenny Schmalfuss, Lukas Mehl, Andrés Bruhn: Distracting Downpour: Adversarial Weather Attacks for Motion Estimation. Proc. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. arXiv: 2305.06716.
L. Mehl, A. Jahedi, J. Schmalfuß, und A. Bruhn. 2023 IEEE Winter Conference on Applications of Computer Vision, Seite 2019-2028. Piscataway, NJ, IEEE, (2023)