L. Mehl, A. Jahedi, J. Schmalfuß, and A. Bruhn. 2023 IEEE Winter Conference on Applications of Computer Vision, page 2019-2028. Piscataway, NJ, IEEE, (2023)
J. Schmalfuß, L. Mehl, and 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.
J. Schmalfuß, P. Scholze, and A. Bruhn. Computer Vision – ECCV 2022, volume 22 of Lecture Notes in Computer Science, page 183-200. Cham, Springer, (2022)
J. Schmalfuss, C. Riethmüller, M. Altenbernd, K. Weishaupt, and 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)
L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, and 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.
L. Mehl, C. Beschle, A. Barth, and 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.
H. Men, V. Hosu, H. Lin, A. Bruhn, and D. Saupe. 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), page 1-6. IEEE, (2020)
Y. Ju, A. Bruhn, and M. Breuß. Scale space and variational methods in computer vision : 5th International Conference, SSVM 2015, 9087, page 538-550. Cham, Springer, (2015)