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Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition.

, , , , , и . CoRR, (2022)

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Jean-Marie Yante

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Другие публикации лиц с тем же именем

A More Effective Method for Image Representation: Topic Model Based on Latent Dirichlet Allocation., , , , и . CAD/Graphics, стр. 143-148. IEEE, (2015)Can Micro-Expression be Recognized Based on Single Apex Frame?, , и . ICIP, стр. 3094-3098. IEEE, (2018)Graph-Based Facial Affect Analysis: A Review., , , , , и . IEEE Trans. Affect. Comput., 14 (4): 2657-2677 (октября 2023)Cross-scenario clothing retrieval and fine-grained style recognition., , , , и . ICPR, стр. 2912-2917. IEEE, (2016)MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge., , , , , , , , , и . ACM Multimedia, стр. 7170-7174. ACM, (2022)Data Leakage and Evaluation Issues in Micro-Expression Analysis., , , и . IEEE Trans. Affect. Comput., 15 (1): 186-197 (января 2024)Geometric Graph Representation With Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition., , , , , и . IEEE Trans. Affect. Comput., 15 (3): 1343-1357 (июля 2024)Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition., , и . IEEE Trans. Image Process., (2021)Machine learning for perceiving facial micro-expression.. University of Oulu, Finland, (2022)base-search.net (ftunivoulu:oai:oulu.fi:isbn978-952-62-3293-5).Data Leakage and Evaluation Issues in Micro-Expression Analysis., , , и . CoRR, (2022)