A study on deep learning spatiotemporal models and feature extraction techniques for video understanding
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Multimedia Information Retrieval"
DOI: 10.1007/s13735-019-00190-x
Abstract: Video understanding requires abundant semantic information. Substantial progress has been made on deep learning models in the image, text, and audio domains, and notable efforts have been recently dedicated to the design of deep networks… read more here.
Keywords: models feature; deep learning; learning spatiotemporal; spatiotemporal models ... See more keywords
Robust and Responsive Learning of Spatiotemporal Urban Traffic Flow Relationships
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DOI: 10.1109/tits.2021.3130146
Abstract: Spatiotemporal models that incorporate information about the relationships between traffic flows over space and time have recently become the mainstream of urban traffic forecasting. Many algorithms have been developed to learn the structure of spatiotemporal… read more here.
Keywords: spatiotemporal relationships; urban traffic; traffic; learning spatiotemporal ... See more keywords
Learning Spatiotemporal Graph Representations for Visual Perception Using EEG Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3217344
Abstract: Perceiving and recognizing objects enable interaction with the external environment. Recently, decoding brain signals based on brain-computer interface (BCI) that recognize the user’s intentions by just looking at objects has attracted attention as a next-generation… read more here.
Keywords: neural network; visual perception; spatiotemporal graph; convolutional neural ... See more keywords