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Photometric Depth Super-Resolution (bibtex)
Photometric Depth Super-Resolution (bibtex)
by B. Haefner, S. Peng, A. Verma, Y. Quéau and D. Cremers
Reference:
Photometric Depth Super-Resolution (B. Haefner, S. Peng, A. Verma, Y. Quéau and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 42, 2020. ([supp] [project page] [ieeexplore])
Bibtex Entry:
@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},
 year = {2020},
 volume = {42},
 number = {10},
 pages = {2453-2464},
 eprint = {1809.10097},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 titleurl = {haefner2020tpami.pdf},
 keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}
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Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.

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MCML Kick-Off

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