Technical University of Munich

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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]