Publications

Michael Stoll, Daniel Maurer, Sebastian Volz, and Andrés Bruhn. Illumination-aware Large Displacement Optical Flow. In Marcello Pelillo, and Edwin R. Hancock (Eds.), Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2017. Lecture Notes in Computer Science, (10746):139-154, Springer International Publishing, 2017. [PUMA: 2017 B04 sfbtrr161 visus:bruhn visus:maurerdl] URL

Michael Stoll, Daniel Maurer, and Andrés Bruhn. Variational Large Displacement Optical Flow Without Feature Matches.. In Marcello Pelillo, and Edwin R. Hancock (Eds.), Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2017. Lecture Notes in Computer Science, (10746):79-92, Springer International Publishing, 2017. [PUMA: 2017 B04 sfbtrr161 visus:bruhnas visus:maurerdl] URL

Daniel Maurer, Michael Stoll, Sebastian Volz, Patrick Gairing, and Andrés Bruhn. A Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow. In François Lauze, Yiqiu Dong, and Anders Bjorholm Dahl (Eds.), Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science, (10302):537-549, Springer, 2017. [PUMA: 2017 B04 sfbtrr161 visus:bruhnas visus:maurerdl] URL

Daniel Maurer, Michael Stoll, and Andrés Bruhn. Order-adaptive Regularisation for Variational Optical Flow: Global, Local and in Between.. In François Lauze, Yiqiu Dong, and Anders Bjorholm Dahl (Eds.), Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science, (10302):550-562, Springer International Publishing, 2017. [PUMA: 2017 B04 sfbtrr161 visus:bruhnas visus:maurerdl] URL

Daniel Maurer, Andrés Bruhn, and Michael Stoll. Order-adaptive and Illumination-aware Variational Optical Flow Refinement. Proceedings of the British Machine Vision Conference (BMVC), 150:1-150:13, BMVA Press, 2017. [PUMA: 2017 B04 sfbtrr161 visus:bruhnas visus:maurerdl] URL