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% generated by bibtexbrowser % % Encoding: UTF-8 @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}, }