Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
A gated multi-hierarchical feature fusion network for recognizing steel plate surface defects
H Tao, M Lu, Z Hu, J An - Multimedia Systems, 2023 - Springer
Recognizing defects on the steel plate surface has great application potential in the steel
manufacturing process. However, it is still challenging to accurately recognize surface …
manufacturing process. However, it is still challenging to accurately recognize surface …
HiT-MST: Dynamic facial expression recognition with hierarchical transformers and multi-scale spatiotemporal aggregation
X Xia, D Jiang - Information Sciences, 2023 - Elsevier
Facial expression recognition rarely explores complex spatiotemporal dependencies among
facial regions at different scales. This paper proposes a transformer-based three-layer …
facial regions at different scales. This paper proposes a transformer-based three-layer …
Polarity-aware attention network for image sentiment analysis
Image sentiment analysis aims to employ a computational model to automatically discover
the implied emotions from the underlying image, which are crucial in many practical …
the implied emotions from the underlying image, which are crucial in many practical …
Cross-view adaptive graph attention network for dynamic facial expression recognition
Y Li, M Xi, D Jiang - Multimedia Systems, 2023 - Springer
Dynamic facial expression recognition is important for human–computer interaction.
Learning the temporal dynamic representation of facial expressions and exploring the …
Learning the temporal dynamic representation of facial expressions and exploring the …
Decoding Group Emotional Dynamics in a Web-Based Collaborative Environment: A Novel Framework Utilizing Multi-Person Facial Expression Recognition
Q Li, Z Liu, Z Zhang, Q Wang, M Ma - International Journal of …, 2024 - Taylor & Francis
As a crucial form of non-verbal communication, facial expressions can convey an
individual's emotional state through a combination of facial muscle movements and provide …
individual's emotional state through a combination of facial muscle movements and provide …
Detection of the Anaerobic Threshold from Cardiopulmonary Exercise Test Data with EO-Attention-LSTM
X Guo, Z Lun, Q Chu - 2023 42nd Chinese Control Conference …, 2023 - ieeexplore.ieee.org
The physiological indicators at the anaerobic threshold play an essential role in guiding
scientific exercise. The gold standard methodology for detecting the anaerobic threshold is …
scientific exercise. The gold standard methodology for detecting the anaerobic threshold is …
Dimensional emotion recognition based on two stream CNN fusion attention mechanism
M Qi, H Zhang - … on Sensors and Information Technology (ICSI …, 2023 - spiedigitallibrary.org
Aiming at the problem that discrete emotion recognition cannot depict continuous emotion
changes, in order to capture high-level dimensional emotional information, this paper …
changes, in order to capture high-level dimensional emotional information, this paper …