Perceptual video quality assessment: A survey
Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …
the existence of quality degradations introduced in various stages of video signal …
Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
Image visualization: Dynamic and static images generate users' visual cognitive experience using eye-tracking technology
H Pei, X Huang, M Ding - Displays, 2022 - Elsevier
This paper discusses the influence of dynamic images and traditional static images on user
perception in web interface visualizations of products. First, thirty graduate students in …
perception in web interface visualizations of products. First, thirty graduate students in …
Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques
Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is kee** eye contact …
children and adults. An important aspect of social communication is kee** eye contact …
A multimodal discrimination method for the response to name behavior of autistic children based on human pose tracking and head pose estimation
C Song, S Wang, M Chen, H Li, F Jia, Y Zhao - Displays, 2023 - Elsevier
The incidence rate of autism spectrum disorder (ASD) has been rising in the past decades,
and has reached 1∼ 2%. Clinical ASD screening requires long testing time, complicated …
and has reached 1∼ 2%. Clinical ASD screening requires long testing time, complicated …
How is visual attention influenced by text guidance? database and model
The analysis and prediction of visual attention have long been crucial tasks in the fields of
computer vision and image processing. In practical applications, images are generally …
computer vision and image processing. In practical applications, images are generally …
[HTML][HTML] Deep learning in pediatric neuroimaging
The integration of deep learning techniques in pediatric neuroimaging has shown significant
promise in advancing various aspects of the field. This paper provides a comprehensive …
promise in advancing various aspects of the field. This paper provides a comprehensive …
[PDF][PDF] Eye-Tracking Based Autism Spectrum Disorder Diagnosis Using Chaotic Butterfly Optimization with Deep Learning Model.
Autism spectrum disorder (ASD) can be defined as a neurodevelopmental condition or
illness that can disturb kids who have heterogeneous characteristics, like changes in …
illness that can disturb kids who have heterogeneous characteristics, like changes in …
Saliency4ASD: Challenge, dataset and tools for visual attention modeling for autism spectrum disorder
The recent studies showing that gaze features can be useful in the identification of Autism
Spectrum Disorder (ASD), have opened a new domain where Visual Attention (VA) …
Spectrum Disorder (ASD), have opened a new domain where Visual Attention (VA) …
Audio-visual saliency for omnidirectional videos
Visual saliency prediction for omnidirectional videos (ODVs) has shown great significance
and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV …
and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV …