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 …
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 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 …
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 …
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 …
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 …
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 …
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 …
Csc-net: Cross-color spatial co-occurrence matrix network for detecting synthesized fake images
Recently, the generative adversarial networks (GANs) generated images have been spread
over the social networks, which brings the new challenge in the community of media …
over the social networks, which brings the new challenge in the community of media …
Gs-pose: Category-level object pose estimation via geometric and semantic correspondence
Category-level pose estimation is a challenging task with many potential applications in
computer vision and robotics. Recently, deep-learning-based approaches have made great …
computer vision and robotics. Recently, deep-learning-based approaches have made great …