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Data Leakage and Evaluation Issues in Micro-Expression Analysis

Autor: Tuomas Varanka, Yante Li, Wei Peng, Guoying Zhao

Publikováno v: IEEE Transactions on Affective Computing. :1-12

Micro-expressions have drawn increasing interest lately due to various potential applications. The task is, however, difficult as it incorporates many challenges from the fields of computer vision, machine learning and emotional sciences. Due to the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db029a67a0628d637313411eb6e8b0fc
https://doi.org/10.1109/taffc.2023.3265063

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From Emotion AI to Cognitive AI

Autor: Guoying Zhao, Yante Li, Qianru Xu

Publikováno v: International Journal of Network Dynamics and Intelligence. :65-72

Survey/review study From Emotion AI to Cognitive AI Guoying Zhao *, Yante Li , and Qianru Xu University of Oulu, Pentti Kaiteran Katu 1, Linnanmaa 90570, Finland * Correspondence: guoying.zhao@oulu.fi Received: 22 September 2022 Accepted: 28 November

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2310be51c1b65aa95b99d10b28d39af7
https://doi.org/10.53941/ijndi0101006

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4DME: A Spontaneous 4D Micro-Expression Dataset With Multimodalities

Autor: Xiaobai Li, Shiyang Cheng, Yante Li, Muzammil Behzad, Jie Shen, Stefanos Zafeiriou, Maja Pantic, Guoying Zhao

Publikováno v: IEEE Transactions on Affective Computing. :1-18

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a0515211282341b317cf534a50e6bfaf
https://doi.org/10.1109/taffc.2022.3182342

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MEGC2022

Autor: Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang, Adrian K. Davison, Yante Li, Zizhao Dong

Publikováno v: Proceedings of the 30th ACM International Conference on Multimedia.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c1b8cd93f5e77cf84e116bd7953382e
https://doi.org/10.1145/3503161.3551601

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Micro-expression action unit detection with spatial and channel attention

Autor: Yante Li, Xiaohua Huang, Guoying Zhao

Publikováno v: Neurocomputing. 436:221-231

Action Unit (AU) detection plays an important role in facial behaviour analysis. In the literature, AU detection has extensive researches in macro-expressions. However, to the best of our knowledge, there is limited research about AU analysis for mic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a47c6a6c20dff58b4a62d735cd9f3ac9
https://doi.org/10.1016/j.neucom.2021.01.032

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Deep Learning for Micro-expression Recognition: A Survey

Autor: Yante Li, Jinsheng Wei, Yang Liu, Janne Kauttonen, Guoying Zhao

Micro-expressions (MEs) are involuntary facial movements revealing people's hidden feelings in high-stake situations and have practical importance in medical treatment, national security, interrogations and many human-computer interaction systems. Ea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bee5c95f09e1f7d166bd309f67fc730
http://arxiv.org/abs/2107.02823

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Intra- and inter-contrastive learning for micro-expression action unit detection

Autor: Yante Li, Guoying Zhao

Publikováno v: ICMI

Encoding facial expressions via Action Units (AUs) has been found effective for resolving the ambiguity issue among different expressions. In the literature, AU detection has extensive researches in macro-expressions. However, there is limited resear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc14e3b490e0b2905a92455000234824
http://urn.fi/urn:nbn:fi-fe2021121060120

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Micro-expression action unit detection with dual-view attentive similarity-preserving knowledge distillation

Autor: Yante Li, Wei Peng, Guoying Zhao

Encoding facial expressions via action units (AUs) has been found to be effective in resolving the ambiguity issue among different expressions. Therefore, AU detection plays an important role for emotion analysis. While a number of AU detection metho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e272f1512b4ba6784f00e0a56cde7a9b
http://urn.fi/urn:nbn:fi-fe2022030321799

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Joint local and global information learning with single apex frame detection for micro-expression recognition

Autor: Xiaohua Huang, Yante Li, Guoying Zhao

Micro-expressions (MEs) are rapid and subtle facial movements that are difficult to detect and recognize. Most recent works have attempted to recognize MEs with spatial and temporal information from video clips. According to psychological studies, th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::584d1d1d15f2407e96249120df44e7a9
http://urn.fi/urn:nbn:fi-fe202103177628

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Can micro-expression be recognized based on single apex frame?

Autor: Guoying Zhao, Xiaohua Huang, Yante Li

Publikováno v: ICIP

Micro-expressions are rapid and subtle facial movements such that they are difficult to detect and recognize. Most of recent works have attempted to recognize micro-expression by using the spatial and dynamic information from the video clip. Physiolo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b3c7b3a379ca521cb7cfe5c6c5e2ae4
http://urn.fi/urn:nbn:fi-fe201902226046

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