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Yeon-Kug Moon on Muck Rack

Yeon-Kug Moon

As seen in: Nature, MDPI
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Articles

A graph-guided cross-modal attention network for multimodal emotion recognition via emotion-shift modeling

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By Sathiyamoorthi Arthanari, Yeon-Kug Moon
| Nature Verified
Abstract Multimodal Emotion Recognition in Conversation (MERC) has emerged as a prominent research focus, aiming to accurately interpret emotional states by analyzing textual, audio, and visual modalities within dynamic conversational interactions.
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Hybrid Multi-Attention Network for Audio-Visual Emotion Recognition Through Multimodal Feature Fusion

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By Sathishkumar Moorthy, Yeon-Kug Moon
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Frequency Domain-Based Super Resolution Using Two-Dimensional Structure Consistency for Ultra-High-Resolution Display

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By Suk-Ju Kang, Yeon-Kug Moon, Yu Jin Lim, Yu Lim Seo
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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