Publications

Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, and Dietmar Saupe. Visual Quality Assessment for Motion Compensated Frame Interpolation. Proceedings of the International Conference on Quality of Multimedia Experience (QoMEX), 1-6, IEEE, 2019. [PUMA: 2019 A05 B04 sfbtrr161 visus:bruhnas visus:maurerdl] URL

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, Nico Marniok, Bastian Goldluecke, and Andrés Bruhn. Structure-from-motion-aware PatchMatch for Adaptive Optical Flow Estimation. In Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, and Yair Weiss (Eds.), Computer Vision – ECCV 2018. ECCV 2018. Lecture Notes in Computer Science, (11212):575-592, Springer International Publishing, 2018. [PUMA: 2018 B04 sfbtrr161 visus:bruhnas visus:maurerdl] URL

Daniel Maurer, Yong Chul Ju, Michael Breuß, and Andrés Bruhn. Combining Shape from Shading and Stereo: A Joint Variational Method for Estimating Depth, Illumination and Albedo. International Journal of Computer Vision, (126)12:1342-1366, 2018. [PUMA: 2018 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

Daniel Maurer, Michael Stoll, and Andrés Bruhn. Directional Priors for Multi-Frame Optical Flow. Proceedings of the British Machine Vision Conference (BMVC), 106:1-106:13, BMVA Press, 2018. [PUMA: 2018 B04 sfbtrr161 visus:bruhnas visus:maurerdl] URL

Daniel Maurer, and Andrés Bruhn. ProFlow: Learning to Predict Optical Flow. Proceedings of the British Machine Vision Conference (BMVC), (86:1-86:13)BMVA Press, 2018. [PUMA: 2018 B04 sfbtrr161 visus:bruhnas visus:maurerdl] URL