Direkt zum Inhalt springen
Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

Menu

Links

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

YouTube X / Twitter Facebook

News

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

More


Info

Full academic CV: cv_yvain_queau.pdf

Full publication list: publication_list_yvain_queau.pdf

(Matlab) codes for shape-from-shading, photometric stereo, and normal integration available on my github

Classes

I am responsible for the course Computer Vision I: Variational Methods offered on this winter semester. See https://vision.in.tum.de/teaching/ws2017/vmcv2017

Publications since I joined TUM in September 2016


Export as PDF, XML, TEX or BIB

Book Chapters
2020
[]On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting (M Brahimi, Y Quéau, B Haefner and D Cremers), Chapter in (JD Durou, M Falcone, Y Quéau, S Tozza, eds.), Springer International Publishing, 2020.  [bibtex] [doi] [arXiv:1911.07268] [pdf]
Journal Articles
2022
[]A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces (Z. Ye, B. Haefner, Y. Quéau, T. Möllenhoff and D. Cremers), In International Journal of Computer Vision (IJCV), 2022. ([code]) [bibtex] [doi] [pdf]
2020
[]Photometric Depth Super-Resolution (B. Haefner, S. Peng, A. Verma, Y. Quéau and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume 42, 2020. ([supp] [project page]) [bibtex] [doi] [arXiv:1809.10097] [pdf]
2018
[]Variational Reflectance Estimation from Multi-view Images (J. Mélou, Y. Quéau, J.-D. Durou, F. Castan and D. Cremers), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv]) [bibtex] [doi] [pdf]
[]Variational Methods for Normal Integration (Y. Quéau, J.-D. Durou and J.-F. Aujol), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
[]Normal Integration: A Survey (Y. Quéau, J.-D. Durou and J.-F. Aujol), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
[]LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution (Y. Quéau, B. Durix, T. Wu, D. Cremers, F. Lauze and J.-D. Durou), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
2017
[]Fast and accurate surface normal integration on non-rectangular domains (M. Bähr, M. Breuß, Y. Quéau, A. S. Bouroujerdi and J.-D. Durou), In Computational Visual Media, volume 3, 2017.  [bibtex] [doi] [pdf]
[]Photometric Stereo with Only Two Images: A Theoretical Study and Numerical Resolution (Y. Quéau, R. Mecca, J.-D. Durou and X. Descombes), In Image and Vision Computing, volume 57, 2017.  [bibtex] [doi] [pdf]Editor's choice
2016
[]A Single-Lobe Photometric Stereo Approach for Heterogeneous Material (R. Mecca, Y. Quéau, F. Logothetis and R. Cipolla), In SIAM Journal on Imaging Sciences, volume 9, 2016.  [bibtex] [doi] [pdf]
Conference and Workshop Papers
2021
[]Sublabel-Accurate Multilabeling Meets Product Label Spaces (Z. Ye, B. Haefner, Y. Quéau, T. Möllenhoff and D. Cremers), In DAGM German Conference on Pattern Recognition (GCPR), 2021. ([presentation] [code]) [bibtex] [doi] [pdf]Oral Presentation
2019
[]Variational Uncalibrated Photometric Stereo under General Lighting (B. Haefner, Z. Ye, M. Gao, T. Wu, Y. Quéau and D. Cremers), In IEEE/CVF International Conference on Computer Vision (ICCV), 2019. ([supp] [poster] [matlab] [python] [cvf]) [bibtex] [doi] [arXiv:1904.03942] [pdf]
[]Photometric Segmentation: Simultaneous Photometric Stereo and Masking (B. Haefner, Y. Quéau and D. Cremers), In International Conference on 3D Vision (3DV), 2019. ([poster] [slides]) [bibtex] [doi] [pdf]Spotlight Presentation
2018
[]Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (B. Haefner, Y. Quéau, T. Möllenhoff and D. Cremers), In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018. ([supp] [poster] [slides] [code] [cvf] [video]) [bibtex] [doi] [pdf] [video]Spotlight Presentation
2017
[]A Variational Approach to Shape-from-shading Under Natural Illumination (Y. Quéau, J. Mélou, F. Castan, D. Cremers and J.-D. Durou), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2017. ([codes]) [bibtex] [doi] [pdf]
[]Depth Super-Resolution Meets Uncalibrated Photometric Stereo (S. Peng, B. Haefner, Y. Quéau and D. Cremers), In IEEE International Conference on Computer Vision Workshops (ICCVW), 2017. ([code][slides] [cvf]) [bibtex] [doi] [arXiv:1708.00411] [pdf]Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision
[]Stéréophotométrie microscopique sans démosaïquage (Y. Quéau, M. Pizenberg, D. Cremers and J.-D. Durou), In GRETSI, 2017.  [bibtex] [pdf]
[]Dense Multi-view 3D-reconstruction Without Dense Correspondences (Y. Quéau, J. Mélou, J.-D. Durou and D. Cremers), In ArXiv preprint 1704.00337, 2017. ([arxiv]) [bibtex] [pdf]
[]A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting (Y. Quéau, T. Wu, F. Lauze, J.-D. Durou and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([codes]) [bibtex] [pdf]
[]Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data (F. Lauze, Y. Quéau and E. Plenge), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017.  [bibtex] [pdf]
[]Beyond Multi-view Stereo: Shading-Reflectance Decomposition (J. Mélou, Y. Quéau, J.-D. Durou, F. Castan and D Cremers), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017.  [bibtex] [pdf]
[]Semi-Calibrated Near-Light Photometric Stereo (Y. Quéau, T. Wu and D. Cremers), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017. ([codes]) [bibtex] [pdf]
[]Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing (Y. Quéau, M. Pizenberg, J.-D. Durou and D. Cremers), In International Conference on Quality Control by Artificial Vision (QCAV), 2017. ([codes]) [bibtex] [pdf]
Powered by bibtexbrowser
Export as PDF, XML, TEX or BIB

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

YouTube X / Twitter Facebook

News

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

More