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Daniel Maurer
Daniel Maurer
Verifierad e-postadress på vis.uni-stuttgart.de - Startsida
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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
772021
ProFlow: Learning to Predict Optical Flow
D Maurer, A Bruhn
British Machine Vision Conference (BMVC), 2018
472018
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
282018
Order-Adaptive and Illumination-Aware Variational Optical Flow Refinement.
D Maurer, M Stoll, A Bruhn
BMVC, 2017
222017
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
152016
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
132018
A time-efficient optimisation framework for parameters of optical flow methods
M Stoll, S Volz, D Maurer, A Bruhn
Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017
112017
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
92019
Order-adaptive regularisation for variational optical flow: Global, local and in between
D Maurer, M Stoll, A Bruhn
Scale Space and Variational Methods in Computer Vision: 6th International …, 2017
72017
A comparison of isotropic and anisotropic second order regularisers for optical flow
D Maurer, M Stoll, S Volz, P Gairing, A Bruhn
Scale Space and Variational Methods in Computer Vision: 6th International …, 2017
72017
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
62019
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
An Efficient Linearisation Approach for Variational Perspective Shape from Shading
D Maurer, YC Ju, M Breuß, A Bruhn
Pattern Recognition, 249-261, 2015
62015
Unsupervised training of optical flow estimation neural networks
DR Maurer, AC Stone, A Ayvaci, A Angelova, R Jonschkowski
US Patent App. 17/721,288, 2022
42022
Directional Priors for Multi-Frame Optical Flow
D Maurer, M Stoll, A Bruhn
British Machine Vision Conference (BMVC), 2018
42018
Depth-driven variational methods for stereo reconstruction
D Maurer
42014
Adaptive algorithms for 3D reconstruction and motion estimation
D Maurer
32019
Variational large displacement optical flow without feature matches
M Stoll, D Maurer, A Bruhn
Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018
12018
OBJECT IDENTIFICATION IN BIRD'S-EYE VIEW REFERENCE FRAME WITH EXPLICIT DEPTH ESTIMATION CO-TRAINING
A Zhao, VI Karasev, H Yan, DR Maurer, A Ayvaci, Y Chen
US Patent App. 17/884,356, 2024
2024
Optical flow based motion detection
DR Maurer, A Ayvaci, N Abdo, CJ Sweeney, RW Anderson
US Patent 11,669,980, 2023
2023
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