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 | 100 | 2021 |
ProFlow: Learning to Predict Optical Flow D Maurer, A Bruhn British Machine Vision Conference (BMVC), 2018 | 51 | 2018 |
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 | 29 | 2018 |
Order-Adaptive and Illumination-Aware Variational Optical Flow Refinement. D Maurer, M Stoll, A Bruhn BMVC, 2017 | 22 | 2017 |
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 | 15 | 2016 |
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 | 13 | 2018 |
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 | 11 | 2017 |
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 | 9 | 2019 |
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 | 7 | 2017 |
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 | 7 | 2017 |
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 | 6 | 2022 |
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 | 6 | 2019 |
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 | 6 | 2016 |
An Efficient Linearisation Approach for Variational Perspective Shape from Shading D Maurer, YC Ju, M Breuß, A Bruhn Pattern Recognition, 249-261, 2015 | 6 | 2015 |
Directional Priors for Multi-Frame Optical Flow D Maurer, M Stoll, A Bruhn British Machine Vision Conference (BMVC), 2018 | 4 | 2018 |
Depth-driven variational methods for stereo reconstruction D Maurer | 4 | 2014 |
Adaptive algorithms for 3D reconstruction and motion estimation D Maurer | 3 | 2019 |
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 | 1 | 2018 |
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, YH 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 |