Deep learning with image-based autism spectrum disorder analysis: A systematic review

MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
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

RAJ De Belen, T Bednarz, A Sowmya… - Translational …, 2020 - nature.com
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 …

Watching the TV watchers

YC Zhang, JM Rehg - Proceedings of the ACM on Interactive, Mobile …, 2018 - dl.acm.org
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 …

Detecting attended visual targets in video

E Chong, Y Wang, N Ruiz… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
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 …

Childplay: A new benchmark for understanding children's gaze behaviour

S Tafasca, A Gupta, JM Odobez - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Gaze behaviors such as eye-contact or shared attention are important markers for
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

E Chong, N Ruiz, Y Wang, Y Zhang… - Proceedings of the …, 2018 - openaccess.thecvf.com
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 …

Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenoty** in computational psychiatry

P Washington, N Park, P Srivastava, C Voss… - Biological Psychiatry …, 2020 - Elsevier
Data science and digital technologies have the potential to transform diagnostic
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 …

A comprehensive analysis towards exploring the promises of AI-related approaches in autism research

S Pandya, S Jain, J Verma - Computers in biology and medicine, 2024 - Elsevier
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that presents
challenges in communication, social interaction, repetitive behaviour, and limited interests …

Attention-based autism spectrum disorder screening with privileged modality

S Chen, Q Zhao - … of the IEEE/CVF International Conference …, 2019 - openaccess.thecvf.com
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 …