Yvain Quéau

Orcid: 0000-0002-2609-7053

Affiliations:
  • TU Munich, Department of Computer Science, Germany


According to our database1, Yvain Quéau authored at least 49 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent.
CoRR, 2024

2023
Guest Editorial JMIV Special Issue SSVM'21.
J. Math. Imaging Vis., January, 2023

A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces.
Int. J. Comput. Vis., 2023

RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction.
CoRR, 2023

Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems.
CoRR, 2023

On Photometric Stereo in the Presence of a Refractive Interface.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Multi-view Normal Estimation - Application to Slanted Plane-Sweeping.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Convergence Guarantees of Overparametrized Wide Deep Inverse Prior.
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

Read Your Voice: A Playful Interactive Sound Encoder/Decoder.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Low-Rank Registration of Images Captured Under Unknown, Varying Lighting.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

Sublabel-Accurate Multilabeling Meets Product Label Spaces.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020
Photometric Depth Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Refractive Multi-view Stereo.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Optimisation of Classic Photometric Stereo by Non-convex Variational Minimisation.
J. Math. Imaging Vis., 2019

On the well-posedness of uncalibrated photometric stereo under general lighting.
CoRR, 2019

A Splitting-Based Algorithm for Multi-view Stereopsis of Textureless Objects.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Macrogroove: A Sound 3D-sculpture Interactive Player.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Variational Uncalibrated Photometric Stereo Under General Lighting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Photometric Segmentation: Simultaneous Photometric Stereo and Masking.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution.
J. Math. Imaging Vis., 2018

Variational Methods for Normal Integration.
J. Math. Imaging Vis., 2018

Normal Integration: A Survey.
J. Math. Imaging Vis., 2018

Variational Reflectance Estimation from Multi-view Images.
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

Fast and accurate surface normal integration on non-rectangular domains.
Comput. Vis. Media, 2017

Optimisation of photometric stereo methods by non-convex variational minimisation.
CoRR, 2017

Dense Multi-view 3D-reconstruction Without Dense Correspondences.
CoRR, 2017

Semi-calibrated Near-Light Photometric Stereo.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Beyond Multi-view Stereo: Shading-Reflectance Decomposition.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data.
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

Depth Super-Resolution Meets Uncalibrated Photometric Stereo.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

A Variational Approach to Shape-from-Shading Under Natural Illumination.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A full photometric and geometric model for attached webcam/matte screen devices.
Signal Process. Image Commun., 2016

A Single-Lobe Photometric Stereo Approach for Heterogeneous Material.
SIAM J. Imaging Sci., 2016

Unifying diffuse and specular reflections for the photometric stereo problem.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Near-Field Photometric Stereo in Ambient Light.
Proceedings of the British Machine Vision Conference 2016, 2016

Optimised photometric stereo via non-convex variational minimisation.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Reconstruction tridimensionnelle par stéréophotométrie. (3D-reconstruction by photometric stereo).
PhD thesis, 2015

Solving Uncalibrated Photometric Stereo Using Total Variation.
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
Stéréophotométrie non calibrée en présence d'écarts au modèle lambertien.
Traitement du Signal, 2014

2013
Solving the Uncalibrated Photometric Stereo Problem Using Total Variation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013


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