Publications

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: visus vis(us) b04 sfbtrr161-b sfbtrr161 sfb dfg visus:bruhnas visus:maurerdl visus:stollml tiger-generation:638626622095090349] 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: visus vis(us) b04 sfbtrr161-b sfbtrr161 sfb dfg visus:bruhnas visus:maurerdl visus:stollml tiger-generation:638626622095090349] 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: sfbtrr161 sfb dfg b04 sfbtrr161-b b05 visus vis(us) visus:maurerdl visus:bruhnas tiger-generation:638626622095090349] 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: sfbtrr161 sfb dfg b04 sfbtrr161-b b05 visus vis(us) visus:maurerdl visus:bruhnas tiger-generation:638626622095090349] 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: visus vis(us) b04 sfbtrr161-b sfbtrr161 sfb dfg visus:bruhnas visus:maurerdl tiger-generation:638626622095090349] URL