| Normal Integration: A Survey Y Quéau, JD Durou, JF Aujol Journal of Mathematical Imaging and Vision 60 (4), 576–593, 2018 | 83 | 2018 |
| LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution Y Quéau, B Durix, T Wu, D Cremers, F Lauze, JD Durou Journal of Mathematical Imaging and Vision 60 (3), 313–340, 2018 | 63 | 2018 |
| A non-convex variational approach to photometric stereo under inaccurate lighting Y Quéau, T Wu, F Lauze, JD Durou, D Cremers Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 59 | 2017 |
| Unbiased photometric stereo for colored surfaces: A variational approach Y Quéau, R Mecca, JD Durou Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 48 | 2016 |
| Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading B Haefner, Y Quéau, T Möllenhoff, D Cremers Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 43 | 2018 |
| A single-lobe photometric stereo approach for heterogeneous material R Mecca, Y Quéau, F Logothetis, R Cipolla SIAM Journal on Imaging Sciences 9 (4), 1858-1888, 2016 | 34 | 2016 |
| Edge-Preserving Integration of a Normal Field: Weighted Least-Squares, TV and Approaches Y Quéau, JD Durou Scale Space and Variational Methods in Computer Vision: 5th International …, 2015 | 32 | 2015 |
| Solving uncalibrated photometric stereo using total variation Y Quéau, F Lauze, JD Durou Journal of Mathematical Imaging and Vision 52, 87-107, 2015 | 31 | 2015 |
| Variational methods for normal integration Y Quéau, JD Durou, JF Aujol Journal of Mathematical Imaging and Vision 60, 609-632, 2018 | 29 | 2018 |
| A Variational Approach to Shape-from-shading Under Natural Illumination Y Quéau, J Mélou, F Castan, D Cremers, JD Durou Energy Minimization Methods in Computer Vision and Pattern Recognition …, 2017 | 26 | 2017 |
| Semi-calibrated near-light photometric stereo Y Quéau, T Wu, D Cremers Scale Space and Variational Methods in Computer Vision: 6th International …, 2017 | 25 | 2017 |
| Photometric depth super-resolution B Haefner, S Peng, A Verma, Y Quéau, D Cremers IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (10), 2453 …, 2020 | 24 | 2020 |
| Variational Uncalibrated Photometric Stereo Under General Lighting Z Ye, B Haefner, M Gao, T Wu, Y Queau, D Cremers 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 8538-8547, 2019 | 24* | 2019 |
| Fast and accurate surface normal integration on non-rectangular domains M Bähr, M Breuß, Y Quéau, AS Boroujerdi, JD Durou Computational Visual Media 3, 107-129, 2017 | 24 | 2017 |
| Depth Super-Resolution Meets Uncalibrated Photometric Stereo S Peng, B Haefner, Y Quéau, D Cremers Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 23 | 2017 |
| Photometric stereo with only two images: A theoretical study and numerical resolution Y Quéau, R Mecca, JD Durou, X Descombes Image and Vision Computing 57, 175-191, 2017 | 23 | 2017 |
| Unifying diffuse and specular reflections for the photometric stereo problem R Mecca, Y Quéau 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 20 | 2016 |
| A-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings Y Quéau, F Lauze, JD Durou Scale Space and Variational Methods in Computer Vision: 5th International …, 2015 | 20 | 2015 |
| Near-Field Photometric Stereo in Ambient Light F Logothetis, R Mecca, Y Quéau, R Cipolla Proceedings of the British Machine Vision Conference (BMVC), 2016 | 18 | 2016 |
| Simultaneous reconstruction and segmentation of CT scans with shadowed data F Lauze, Y Quéau, E Plenge Scale Space and Variational Methods in Computer Vision: 6th International …, 2017 | 14 | 2017 |
Daniel CremersTechnical University of MunichVerified email at tum.de
