J. D. Lu
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View article: Boosting Continuous Emotion Recognition with Self-Pretraining using Masked Autoencoders, Temporal Convolutional Networks, and Transformers
Boosting Continuous Emotion Recognition with Self-Pretraining using Masked Autoencoders, Temporal Convolutional Networks, and Transformers Open
Human emotion recognition holds a pivotal role in facilitating seamless human-computer interaction. This paper delineates our methodology in tackling the Valence-Arousal (VA) Estimation Challenge, Expression (Expr) Classification Challenge…
View article: Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition
Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition Open
Human emotion recognition plays an important role in human-computer interaction. In this paper, we present our approach to the Valence-Arousal (VA) Estimation Challenge, Expression (Expr) Classification Challenge, and Action Unit (AU) Dete…
View article: Online monitoring of the center-of-mass energy from real data at BESIII
Online monitoring of the center-of-mass energy from real data at BESIII Open
Background Data Quality Monitoring system (DQM) was developed to monitor data quality at BESIII experiment in real time. The stable center-of-mass energy ( $$E_\mathrm{cms}$$ ) is essential for the data taking. Online monitoring the $$…