| Deep marching cubes: Learning explicit surface representations Y Liao, S Donne, A Geiger Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 327 | 2018 |
| Pointflownet: Learning representations for rigid motion estimation from point clouds A Behl, D Paschalidou, S Donné, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 136 | 2019 |
| On joint estimation of pose, geometry and svbrdf from a handheld scanner C Schmitt, S Donne, G Riegler, V Koltun, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 47 | 2020 |
| MATE: Machine learning for adaptive calibration template detection S Donné, J De Vylder, B Goossens, W Philips Sensors 16 (11), 1858, 2016 | 44 | 2016 |
| Connecting the dots: Learning representations for active monocular depth estimation G Riegler, Y Liao, S Donne, V Koltun, A Geiger Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 41 | 2019 |
| Learning non-volumetric depth fusion using successive reprojections S Donne, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 40 | 2019 |
| Pointflownet: Learning representations for 3d scene flow estimation from point clouds A Behl, D Paschalidou, S Donné, A Geiger arXiv preprint arXiv:1806.02170 2, 2018 | 11 | 2018 |
| Fast and robust variational optical flow for high-resolution images using slic superpixels S Donné, J Aelterman, B Goossens, W Philips International Conference on Advanced Concepts for Intelligent Vision Systems …, 2015 | 11 | 2015 |
| Robust plane-based calibration for linear cameras S Donné, H Luong, S Dhondt, N Wuyts, D Inzé, B Goossens, W Philips 2017 IEEE International Conference on Image Processing (ICIP), 36-40, 2017 | 10 | 2017 |
| Machine learning for maize plant segmentation S Donné, H Luong, B Goossens, S Dhondt, N Wuyts, D Inzé, W Philips 25th Belgian-Dutch Conference on Machine Learning (Benelearn), 2016 | 9 | 2016 |
| Point Triangulation Through Polyhedron Collapse Using the l [?] Norm S Donné, B Goossens, W Philips Proceedings of the IEEE International Conference on Computer Vision, 792-800, 2015 | 9 | 2015 |
| Exploiting reflectional and rotational invariance in single image superresolution S Donne, L Meeus, H Quang Luong, B Goossens, W Philips Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 5 | 2017 |
| Image restoration using deep learning J De Vylder, S Donne, H Luong, W Philips 25th Belgian-Dutch Conference on Machine Learning (Benelearn), 2016 | 5 | 2016 |
| Quasar-a new programming framework for real-time image/video processing on GPU and CPU B Goossens, J De Vylder, S Donné, W Philips Proceedings of the 9th International Conference on Distributed Smart Cameras …, 2015 | 5 | 2015 |
| Variational multi-image stereo matching S Donné, B Goossens, J Aelterman, W Philips 2015 IEEE International Conference on Image Processing (ICIP), 897-901, 2015 | 3 | 2015 |
| Collaborative control for geometry-conditioned PBR image generation S Vainer, M Boss, M Parger, K Kutsy, D De Nigris, C Rowles, N Perony, ... European Conference on Computer Vision, 127-145, 2024 | 2 | 2024 |
| Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation S Elizarov, C Rowles, S Donné arXiv preprint arXiv:2409.03718, 2024 | 1 | 2024 |
| IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts C Rowles, S Vainer, D De Nigris, S Elizarov, K Kutsy, S Donné arXiv preprint arXiv:2408.03209, 2024 | 1 | 2024 |
| From light rays to 3D models S Donné | 1 | 2018 |
| Real-time Machine Vision with GPU-acceleration using Quasar J De Vylder, S Donné, D Van Haerenborgh, B Goossens Electronic Imaging 28, 1-2, 2016 | 1 | 2016 |
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterBestätigte E-Mail-Adresse bei uni-tuebingen.de