Daniel Maurer

According to our database, Daniel Maurer authored at least 17 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Adaptive algorithms for 3D reconstruction and motion estimation.

Daniel Maurer

PhD thesis, 2019

Technical Report on Visual Quality Assessment for Frame Interpolation.

Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe

CoRR, 2019

Visual Quality Assessment for Motion Compensated Frame Interpolation.

Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe

Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019

2018

Combining Shape from Shading and Stereo: A Joint Variational Method for Estimating Depth, Illumination and Albedo.

Daniel Maurer, Yong Chul Ju, Michael Breuß, Andrés Bruhn

Int. J. Comput. Vis., 2018

Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation.

Daniel Maurer, Nico Marniok, Bastian Goldluecke, Andrés Bruhn

Proceedings of the Computer Vision - ECCV 2018, 2018

Directional Priors for Multi-Frame Optical Flow.

Daniel Maurer, Michael Stoll, Andrés Bruhn

Proceedings of the British Machine Vision Conference 2018, 2018

ProFlow: Learning to Predict Optical Flow.

Daniel Maurer, Andrés Bruhn

Proceedings of the British Machine Vision Conference 2018, 2018

2017

A Time-Efficient Optimisation Framework for Parameters of Optical Flow Methods.

Michael Stoll, Sebastian Volz, Daniel Maurer, Andrés Bruhn

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

A Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow.

Daniel Maurer, Michael Stoll, Sebastian Volz, Patrick Gairing, Andrés Bruhn

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Order-Adaptive Regularisation for Variational Optical Flow: Global, Local and in Between.

Daniel Maurer, Michael Stoll, Andrés Bruhn

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Illumination-Aware Large Displacement Optical Flow.

Michael Stoll, Daniel Maurer, Sebastian Volz, Andrés Bruhn

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Variational Large Displacement Optical Flow Without Feature Matches.

Michael Stoll, Daniel Maurer, Andrés Bruhn

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Order-Adaptive and Illumination-Aware Variational Optical Flow Refinement.

Daniel Maurer, Michael Stoll, Andrés Bruhn

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Combining Shape from Shading and Stereo: A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo.

Daniel Maurer, Yong Chul Ju, Michael Breuß, Andrés Bruhn

Proceedings of the British Machine Vision Conference 2016, 2016

Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation.

Yong Chul Ju, Daniel Maurer, Michael Breuß, Andrés Bruhn

Proceedings of the Perspectives in Shape Analysis, 2016

2015

Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation.

Yong Chul Ju, Daniel Maurer, Michael Breuß, Andrés Bruhn

CoRR, 2015

An Efficient Linearisation Approach for Variational Perspective Shape from Shading.

Daniel Maurer, Yong Chul Ju, Michael Breuß, Andrés Bruhn

Proceedings of the Pattern Recognition - 37th German Conference, 2015