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Technical University of Munich

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Home Members Dr. Yvain Queau

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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


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Journal Articles
2018
[]Variational Reflectance Estimation from Multi-view Images (Mélou, J., Quéau, Y., Durou, J.-D., Castan, F. and Cremers, D.), In Journal of Mathematical Imaging and Vision, 2018. ([arxiv]) [bibtex] [doi] [pdf]
[]Variational Methods for Normal Integration (Quéau, Y., Durou, J.-D. and Aujol, J.-F.), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
[]Normal Integration: A Survey (Quéau, Y., Durou, J.-D. and Aujol, J.-F.), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
[]Photometric Depth Super-Resolution (Haefner, B., Peng, S., Verma, A., Quéau, Y. and Cremers, D.), In Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Special Issue on RGB-D Vision: Methods and Applications, 2018. ([supp] [arxiv]) [bibtex] [pdf]
[]LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution (Quéau, Y., Durix, B., Wu, T., Cremers, D., Lauze, F. and Durou, J.-D.), 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 (Bähr, M., Breuß, M., Quéau, Y., Bouroujerdi, A. S. and Durou, J.-D.), In Computational Visual Media, volume 3, 2017.  [bibtex] [doi] [pdf]
[]Photometric Stereo with Only Two Images: A Theoretical Study and Numerical Resolution (Quéau, Y., Mecca, R., Durou, J.-D. and Descombes, X.), In Image and Vision Computing, volume 57, 2017.  [bibtex] [doi] [pdf]Editor's choice
2016
[]A Single-Lobe Photometric Stereo Approach for Heterogeneous Material (Mecca, R., Quéau, Y., Logothetis, F. and Cipolla, R.), In SIAM Journal on Imaging Sciences, volume 9, 2016.  [bibtex] [doi] [pdf]
Conference and Workshop Papers
2018
[]Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (Haefner, B., Quéau, Y., Möllenhoff, T. and Cremers, D.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. ([supp] [code] [cvf][video]) [bibtex] [pdf] [video]Spotlight Presentation
2017
[]Depth Super-Resolution Meets Uncalibrated Photometric Stereo (Peng, S., Haefner, B., Quéau, Y. and Cremers, D.), In International Conference on Computer Vision Workshops (ICCVW), 2017. ([code],[cvf]) [bibtex] [pdf]Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision
[]A Variational Approach to Shape-from-shading Under Natural Illumination (Quéau, Y., Mélou, J., Castan, F., Cremers, D. and Durou, J.-D.), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2017. ([codes]) [bibtex] [doi] [pdf]
[]Stéréophotométrie microscopique sans démosaïquage (Quéau, Y., Pizenberg, M., Cremers, D. and Durou, J.-D.), In GRETSI, 2017.  [bibtex] [pdf]
[]Dense Multi-view 3D-reconstruction Without Dense Correspondences (Quéau, Y., Mélou, J., Durou, J.-D. and Cremers, D.), In ArXiv preprint 1704.00337, 2017. ([arxiv]) [bibtex] [pdf]
[]A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting (Quéau, Y., Wu, T., Lauze, F., Durou, J.-D. and Cremers, D.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([codes]) [bibtex] [pdf]
[]Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data (Lauze, F., Quéau, Y. and Plenge, E.), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017.  [bibtex] [pdf]
[]Beyond Multi-view Stereo: Shading-Reflectance Decomposition (Mélou, J., Quéau, Y., Durou, J.-D., Castan, F. and Cremers, D), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017.  [bibtex] [pdf]
[]Semi-Calibrated Near-Light Photometric Stereo (Quéau, Y., Wu, T. and Cremers, D.), 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 (Quéau, Y., Pizenberg, M., Durou, J.-D. and Cremers, D.), In International Conference on Quality Control by Artificial Vision (QCAV), 2017. ([codes]) [bibtex] [pdf]
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