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@inproceedings{sang2020wacv,
title = {Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach},
author = {L. Sang and B. Haefner and D. Cremers},
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
address = {Colorado, USA},
year = {2020},
doi = {10.1109/WACV45572.2020.9093491},
eprint = {1912.06501},
eprinttype = {arXiv},
eprintclass = {cs.CV},
award = {Spotlight Presentation},
titleurl = {sang2020wacv.pdf},
keywords = {3d-reconstruction,rgb-d,photometry},
}
@inbook{brahimi2020springer,
title = {On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting},
author = {M Brahimi and Y Quéau and B Haefner and D Cremers},
editor = {Durou, Jean-Denis and Falcone, Maurizio and Qu{\'e}au, Yvain and Tozza, Silvia},
booktitle = {Advances in Photometric 3D-Reconstruction},
year = {2020},
publisher = {Springer International Publishing},
address = {Cham},
pages = {147--176},
isbn = {978-3-030-51866-0},
doi = {10.1007/978-3-030-51866-0_5},
eprint = {1911.07268},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {brahimi2020springer.pdf},
keywords = {photometry},
}
@inproceedings{brahimi2022arxiv,
title = {{SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering}},
author = {M Brahimi and B Haefner and T Yenamandra and B Goldluecke and D Cremers},
booktitle = {{IEEE Winter Conference on Applications of Computer Vision (WACV)}},
month = {January},
address = {Hawaii, USA},
year = {2024},
eprint = {2212.04968},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {brahimi2022arxiv.pdf},
keywords = {d-reconstruction,photometry,deep learning,geometry processing},
}
@inproceedings{haefner20193dv,
title = {Photometric Segmentation: Simultaneous Photometric Stereo and Masking},
author = {B. Haefner and Y. Quéau and D. Cremers},
booktitle = {International Conference on 3D Vision (3DV)},
month = {September},
address = {Québec City, Canada},
year = {2019},
doi = {10.1109/3DV.2019.00033},
award = {Spotlight Presentation},
titleurl = {haefner20193dv.pdf},
keywords = {photometry},
}
@inproceedings{haefner20213dv,
title = {Recovering Real-world Reflectance Properties and Shading from HDR Imagery},
author = {B. Haefner and S. Green and A. Oursland and D. Andersen and M. Goesele and D. Cremers and R. Newcombe and T. Whelan},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2021},
doi = {10.1109/3DV53792.2021.00115},
titleurl = {haefner20213dv.pdf},
award = {Spotlight Presentation},
keywords = {photometry},
}
@inproceedings{haefner2019iccv,
title = {Variational Uncalibrated Photometric Stereo under General Lighting},
author = {B. Haefner and Z. Ye and M. Gao and T. Wu and Y. Quéau and D. Cremers},
booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
address = {Seoul, South Korea},
eprint = {1904.03942},
eprinttype = {arXiv},
eprintclass = {cs.CV},
year = {2019},
doi = {10.1109/ICCV.2019.00863},
titleurl = {haefner2019iccv.pdf},
keywords = {d-reconstruction,photometry,variational},
}
@article{haefner2020tpami,
title = {Photometric Depth Super-Resolution},
author = {B. Haefner and S. Peng and A. Verma and Y. Quéau and D. Cremers},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
year = {2020},
volume = {42},
number = {10},
pages = {2453-2464},
doi = {10.1109/TPAMI.2019.2923621},
eprint = {1809.10097},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {haefner2020tpami.pdf},
keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}
@inproceedings{haefner2018cvpr,
title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading},
author = {B. Haefner and Y. Quéau and T. Möllenhoff and D. Cremers},
booktitle = {I{EEE}/{CVF} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition
(CVPR)},
year = {2018},
doi = {10.1109/CVPR.2018.00025},
titleurl = {haefner2018cvpr.pdf},
award = {Spotlight Presentation},
keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}
@inproceedings{peng2017,
title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo},
author = {S. Peng and B. Haefner and Y. Quéau and D. Cremers},
booktitle = {{IEEE International Conference on Computer Vision Workshops (ICCVW)}},
year = {2017},
doi = {10.1109/ICCVW.2017.349},
eprint = {1708.00411},
eprinttype = {arXiv},
eprintclass = {cs.CV},
award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},
titleurl = {peng2017iccvw.pdf},
keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}
@inproceedings{ye2021gcpr,
author = {Z. Ye and B. Haefner and Y. Quéau and T. Möllenhoff and D. Cremers},
title = {Sublabel-Accurate Multilabeling Meets Product Label Spaces},
booktitle = {DAGM German Conference on Pattern Recognition (GCPR)},
year = {2021},
doi = {10.1007/978-3-030-92659-5_1},
%eprint = {},
%eprinttype = {arXiv},
%eprintclass = {cs.CV},
award = {Oral Presentation},
%titleurl = {},
keywords = {},
}
@article{ye2022ijcv,
author = {Z. Ye and B. Haefner and Y. Quéau and T. Möllenhoff and D. Cremers},
title = {A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces},
journal = {International Journal of Computer Vision (IJCV)},
year = {2022},
doi = {10.1007/s11263-022-01704-7},
titleurl = {ye2022ijcv.pdf},
keywords = {},
}
@inproceedings{sang2023high,
author = {L Sang and B Haefner and X Zuo and D Cremers},
title = {High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF},
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
month = {January},
address = {Hawaii, USA},
year = {2023},
eprint = {2210.12202},
eprinttype = {arXiv},
eprintclass = {cs.CV},
copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International},
titleurl = {sang2023high.png},
award = {Spotlight Presentation},
keywords = {3d-reconstruction,rgb-d,photometry},
}
@inproceedings{brahimi2024sparse,
author = {M Brahimi and B Haefner and Z Ye and B Goldluecke and D Cremers},
title = {Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
titleurl = {brahimi2024sparseeprint=2404.00098},
eprinttype = {arXiv},
eprintclass = {cs.CV},
keywords = {d-reconstruction,photometry,deep learning,geometry processing},
}