Daniel Maurer
Daniel Maurer
Verified email at vis.uni-stuttgart.de - Homepage
Title
Cited by
Cited by
Year
ProFlow: Learning to Predict Optical Flow
D Maurer, A Bruhn
British Machine Vision Conference (BMVC), 2018
322018
Combining shape from shading and stereo: A joint variational method for estimating depth, illumination and albedo
D Maurer, YC Ju, M Breuß, A Bruhn
International Journal of Computer Vision 126 (12), 1342-1366, 2018
212018
Order-Adaptive and Illumination-Aware Variational Optical Flow Refinement.
D Maurer, M Stoll, A Bruhn
BMVC, 2017
182017
Combining Shape from Shading and Stereo: A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo
D Maurer, YC Ju, M Breuß, A Bruhn
British Machine Vision Conference (BMVC), 2016
132016
A time-efficient optimisation framework for parameters of optical flow methods
M Stoll, S Volz, D Maurer, A Bruhn
Scandinavian Conference on Image Analysis, 41-53, 2017
82017
Structure-from-Motion-Aware PatchMatch for adaptive optical flow estimation
D Maurer, N Marniok, B Goldluecke, A Bruhn
Proceedings of the European Conference on Computer Vision (ECCV), 565-581, 2018
72018
Visual quality assessment for motion compensated frame interpolation
H Men, H Lin, V Hosu, D Maurer, A Bruhn, D Saupe
2019 Eleventh International Conference on Quality of Multimedia Experience …, 2019
62019
Order-adaptive regularisation for variational optical flow: Global, local and in between
D Maurer, M Stoll, A Bruhn
International Conference on Scale Space and Variational Methods in Computer …, 2017
62017
Direct variational perspective shape from shading with Cartesian depth parametrisation
YC Ju, D Maurer, M Breuß, A Bruhn
Perspectives in Shape Analysis, 43-72, 2016
62016
Technical report on visual quality assessment for frame interpolation
H Men, H Lin, V Hosu, D Maurer, A Bruhn, D Saupe
arXiv preprint arXiv:1901.05362, 2019
52019
A comparison of isotropic and anisotropic second order regularisers for optical flow
D Maurer, M Stoll, S Volz, P Gairing, A Bruhn
International Conference on Scale Space and Variational Methods in Computer …, 2017
52017
An Efficient Linearisation Approach for Variational Perspective Shape from Shading
D Maurer, YC Ju, M Breuß, A Bruhn
Pattern Recognition, 249-261, 2015
52015
Directional Priors for Multi-Frame Optical Flow
D Maurer, M Stoll, A Bruhn
British Machine Vision Conference (BMVC), 2018
22018
Depth-driven variational methods for stereo reconstruction
D Maurer
22014
Adaptive algorithms for 3D reconstruction and motion estimation
D Maurer
12019
Variational large displacement optical flow without feature matches
M Stoll, D Maurer, A Bruhn
International Workshop on Energy Minimization Methods in Computer Vision and …, 2017
12017
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
A Stone, D Maurer, A Ayvaci, A Angelova, R Jonschkowski
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Illumination-Aware Large Displacement Optical Flow
M Stoll, D Maurer, S Volz, A Bruhn
International Workshop on Energy Minimization Methods in Computer Vision and …, 2017
2017
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