Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yao Chong Lim"'
Autor:
Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Irene Mengze Li, Emily Zheng, Yao Chong Lim
Publikováno v:
ACL
As natural language processing methods are increasingly deployed in real-world scenarios such as healthcare, legal systems, and social science, it becomes necessary to recognize the role they potentially play in shaping social biases and stereotypes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c856931c68079a6c4c60d91597df8b78
https://doi.org/10.18653/v1/2020.acl-main.488
https://doi.org/10.18653/v1/2020.acl-main.488
Autor:
Paul Pu Liang, Louis-Philippe Morency, Yao Chong Lim, Ruslan Salakhutdinov, Yao-Hung Hubert Tsai
Publikováno v:
NAACL-HLT (1)
Human language is a rich multimodal signal consisting of spoken words, facial expressions, body gestures, and vocal intonations. Learning representations for these spoken utterances is a complex research problem due to the presence of multiple hetero
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75ecab574548aaf8210d66309bc84259
http://arxiv.org/abs/1906.02125
http://arxiv.org/abs/1906.02125
Publikováno v:
FG
Over the past few years, there has been an increased interest in automatic facial behavior analysis and understanding. We present OpenFace 2.0 - a tool intended for computer vision and machine learning researchers, affective computing community and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32b401ff84e90de420905037b8d1fbb5
https://doi.org/10.1109/fg.2018.00019
https://doi.org/10.1109/fg.2018.00019
Publikováno v:
ICCV Workshops
Constrained Local Models (CLMs) are a well-established family of methods for facial landmark detection. CE-CLM, the newest member of CLMs, brings CLMs back to state of the art performance. This is done through CE-CLMs ability to model the very comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd6067b56c8b458635884194f26ba69b
https://doi.org/10.1109/iccvw.2017.296
https://doi.org/10.1109/iccvw.2017.296