Yvain Quéau
Orcid: 0000-0002-2609-7053Affiliations:
- TU Munich, Department of Computer Science, Germany
According to our database1,
Yvain Quéau
authored at least 52 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems.
J. Math. Imaging Vis., August, 2024
J. Electronic Imaging, 2024
Uni MS-PS: A multi-scale encoder-decoder transformer for universal photometric stereo.
Comput. Vis. Image Underst., 2024
A Comparison of Audio-Tactile Exploration Methods to Discover the Tapestry of the Apocalypse.
Proceedings of the Computers Helping People with Special Needs, 2024
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Trained with Gradient Descent.
Proceedings of the 32nd European Signal Processing Conference, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces.
Int. J. Comput. Vis., 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
3D surface Approximation of the Entire Bayeux Tapestry for Improved Pedagogical Access.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
MS-PS: A Multi-Scale Network for Photometric Stereo With a New Comprehensive Training Dataset.
CoRR, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
2021
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021
2020
Proceedings of the 8th International Conference on 3D Vision, 2020
2019
J. Math. Imaging Vis., 2019
CoRR, 2019
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 International Conference on 3D Vision, 2019
2018
J. Math. Imaging Vis., 2018
J. Math. Imaging Vis., 2018
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Photometric stereo with only two images: A theoretical study and numerical resolution.
Image Vis. Comput., 2017
Comput. Vis. Media, 2017
CoRR, 2017
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing.
Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Signal Process. Image Commun., 2016
SIAM J. Imaging Sci., 2016
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the British Machine Vision Conference 2016, 2016
Proceedings of the British Machine Vision Conference 2016, 2016
2015
Reconstruction tridimensionnelle par stéréophotométrie. (3D-reconstruction by photometric stereo).
PhD thesis, 2015
J. Math. Imaging Vis., 2015
A L^1 -TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
Edge-Preserving Integration of a Normal Field: Weighted Least-Squares, TV and L^1 Approaches.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
2014
Traitement du Signal, 2014
2013
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013