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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 …
Poster++: A simpler and stronger facial expression recognition network
J Mao, R Xu, X Yin, Y Chang, B Nie, A Huang… - Pattern Recognition, 2024 - Elsevier
The POSTER has achieved SOTA performance in facial expression recognition (FER) by
effectively combining facial landmarks and image features through its two-stream pyramid …
effectively combining facial landmarks and image features through its two-stream pyramid …
Deception detection with machine learning: A systematic review and statistical analysis
Several studies applying Machine Learning to deception detection have been published in
the last decade. A rich and complex set of settings, approaches, theories, and results is now …
the last decade. A rich and complex set of settings, approaches, theories, and results is now …
A dual-channel dehaze-net for single image dehazing in visual Internet of Things using PYNQ-Z2 board
A large number of emerging applications, such as autonomous navigation, space
exploration, surveillance, military target detection, and remote sensing, use outdoor images …
exploration, surveillance, military target detection, and remote sensing, use outdoor images …
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays
The COVID-19 pandemic has posed an unprecedented threat to the global public health
system, primarily infecting the airway epithelial cells in the respiratory tract. Chest X-ray …
system, primarily infecting the airway epithelial cells in the respiratory tract. Chest X-ray …
Academic emotion classification using FER: A systematic review
JXY Lek, J Teo - Human Behavior and Emerging Technologies, 2023 - Wiley Online Library
Facial emotion expressions are among the most potent, natural, and powerful means of
human communication. Due to the COVID‐19 pandemic, educational institutions worldwide …
human communication. Due to the COVID‐19 pandemic, educational institutions worldwide …
Benchmarks for machine learning in depression discrimination using electroencephalography signals
Diagnosis of depression using electroencephalography (EEG) is an emerging field of study.
When mental health facilities are unavailable, the use of EEG as an objective measure for …
When mental health facilities are unavailable, the use of EEG as an objective measure for …
Audio-visual deception detection: Dolos dataset and parameter-efficient crossmodal learning
Deception detection in conversations is a challenging yet important task, having pivotal
applications in many fields such as credibility assessment in business, multimedia anti …
applications in many fields such as credibility assessment in business, multimedia anti …
Intelligent techniques for deception detection: a survey and critical study
Abstract Machine intelligence methods originated as effective tools for generating learning
representations of features directly from the data and have indicated usefulness in the area …
representations of features directly from the data and have indicated usefulness in the area …
A pyramidal spatial-based feature attention network for schizophrenia detection using electroencephalography signals
Automatic signal classification is utilized in various medical and industrial applications,
particularly in schizophrenia (SZ) diagnosis, one of the most prevalent chronic neurological …
particularly in schizophrenia (SZ) diagnosis, one of the most prevalent chronic neurological …