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Found 4 papers, 2 papers with code
Boosting Continuous Emotion Recognition with Self-Pretraining using Masked Autoencoders, Temporal Convolutional Networks, and Transformers
Human emotion recognition holds a pivotal role in facilitating seamless human-computer interaction.
Communication-Free Distributed Charging Control for Electric Vehicle Group
The disordered charging of electric vehicles (EVs) in residential areas leads to a rapid increase of the peak load, causing transformer overload, but the charging control of EV group can effectively alleviate this phenomenon.
Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition
Human emotion recognition plays an important role in human-computer interaction.
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning
Predicting urban traffic is of great importance to intelligent transportation systems and public safety, yet is very challenging because of two aspects: 1) complex spatio-temporal correlations of urban traffic, including spatial correlations between locations along with temporal correlations among timestamps; 2) diversity of such spatiotemporal correlations, which vary from location to location and depend on the surrounding geographical information, e. g., points of interests and road networks.
