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Deep learning with image-based autism spectrum disorder analysis: A systematic review
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019
The current state of computer vision methods applied to autism spectrum disorder (ASD)
research has not been well established. Increasing evidence suggests that computer vision …
research has not been well established. Increasing evidence suggests that computer vision …
Watching the TV watchers
Studies have linked excessive TV watching to obesity in adults and children. In addition, TV
content represents an important source of visual exposure to cues which can effect a broad …
content represents an important source of visual exposure to cues which can effect a broad …
Detecting attended visual targets in video
We address the problem of detecting attention targets in video. Our goal is to identify where
each person in each frame of a video is looking, and correctly handle the case where the …
each person in each frame of a video is looking, and correctly handle the case where the …
Childplay: A new benchmark for understanding children's gaze behaviour
Gaze behaviors such as eye-contact or shared attention are important markers for
diagnosing developmental disorders in children. While previous studies have looked at …
diagnosing developmental disorders in children. While previous studies have looked at …
Connecting gaze, scene, and attention: Generalized attention estimation via joint modeling of gaze and scene saliency
This paper addresses the challenging problem of estimating the general visual attention of
people in images. Our proposed method is designed to work across multiple naturalistic …
people in images. Our proposed method is designed to work across multiple naturalistic …
Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenoty** in computational psychiatry
Data science and digital technologies have the potential to transform diagnostic
classification. Digital technologies enable the collection of big data, and advances in …
classification. Digital technologies enable the collection of big data, and advances in …
[HTML][HTML] Depth-aware gaze-following via auxiliary networks for robotics
T **, Q Yu, S Zhu, Z Lin, J Ren, Y Zhou… - … Applications of Artificial …, 2022 - Elsevier
Gaze-Following aims to predict the gaze target of a subject within an image, and information
on orientation and depth greatly improves this task. However, previous methods require …
on orientation and depth greatly improves this task. However, previous methods require …
A comprehensive analysis towards exploring the promises of AI-related approaches in autism research
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that presents
challenges in communication, social interaction, repetitive behaviour, and limited interests …
challenges in communication, social interaction, repetitive behaviour, and limited interests …
Attention-based autism spectrum disorder screening with privileged modality
This paper presents a novel framework for automatic and quantitative screening of autism
spectrum disorder (ASD). It is motivated to address two issues in the current clinical settings …
spectrum disorder (ASD). It is motivated to address two issues in the current clinical settings …