%0 Conference Paper %1 conf/cvpr/0001HLF021 %A Li, Wanhua %A Huang, Xiaoke %A Lu, Jiwen %A Feng, Jianjiang %A Zhou, Jie %B CVPR %D 2021 %I Computer Vision Foundation / IEEE %K dblp %P 13896-13905 %T Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression. %U http://dblp.uni-trier.de/db/conf/cvpr/cvpr2021.html#0001HLF021

@inproceedings{conf/cvpr/0001HLF021, added-at = {2022-10-02T00:00:00.000+0200}, author = {Li, Wanhua and Huang, Xiaoke and Lu, Jiwen and Feng, Jianjiang and Zhou, Jie}, biburl = {https://www.bibsonomy.org/bibtex/21987d06d60931802473396ac499976ea/dblp}, booktitle = {CVPR}, crossref = {conf/cvpr/2021}, ee = {https://doi.org/10.1109/CVPR46437.2021.01368}, interhash = {1faaee6df225569a891372e7823fc626}, intrahash = {1987d06d60931802473396ac499976ea}, keywords = {dblp}, pages = {13896-13905}, publisher = {Computer Vision Foundation / IEEE}, timestamp = {2024-04-09T20:53:51.000+0200}, title = {Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression.}, url = {http://dblp.uni-trier.de/db/conf/cvpr/cvpr2021.html#0001HLF021}, year = 2021 }