%0 Conference Paper %1 conf/iccv/LiWZZK023 %A Li, Xiaotian %A Wang, Taoyue %A Zhao, Geran %A Zhang, Xiang %A Kang, Xi %A Yin, Lijun %B ICCV %D 2023 %I IEEE %K dblp %P 20717-20728 %T ReactioNet: Learning High-order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning. %U http://dblp.uni-trier.de/db/conf/iccv/iccv2023.html#LiWZZK023 %@ 979-8-3503-0718-4

@inproceedings{conf/iccv/LiWZZK023, added-at = {2024-01-23T00:00:00.000+0100}, author = {Li, Xiaotian and Wang, Taoyue and Zhao, Geran and Zhang, Xiang and Kang, Xi and Yin, Lijun}, biburl = {https://www.bibsonomy.org/bibtex/28eb8817eb40f7b44e69c9fc016d38e7d/dblp}, booktitle = {ICCV}, crossref = {conf/iccv/2023}, ee = {https://doi.org/10.1109/ICCV51070.2023.01899}, interhash = {f2095b569a7cfb989607e1cd06a73c56}, intrahash = {8eb8817eb40f7b44e69c9fc016d38e7d}, isbn = {979-8-3503-0718-4}, keywords = {dblp}, pages = {20717-20728}, publisher = {IEEE}, timestamp = {2024-04-09T09:31:43.000+0200}, title = {ReactioNet: Learning High-order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning.}, url = {http://dblp.uni-trier.de/db/conf/iccv/iccv2023.html#LiWZZK023}, year = 2023 }