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Visual Attention Analysis and Prediction on Human Faces for Children with Autism Spectrum Disorder
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/archgenpsychiatry.2009.194openalex-snapshot
Limited Attentional Bias for Faces in Toddlers With Autism Spectrum Disorders
inferredcites →https://doi.org/10.1002/aur.1340openalex-snapshot
Do Individuals with and without Autism Spectrum Disorder Scan Faces Differently? A New Multi‐Method Look at an Existing Controversy
inferredcites →https://doi.org/10.1002/aur.1479openalex-snapshot
Measuring social attention and motivation in autism spectrum disorder using eye‐tracking: Stimulus type matters
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_50openalex-snapshot
Saliency Detection with Recurrent Fully Convolutional Networks
inferredcites →https://doi.org/10.1007/bf02172225openalex-snapshot
Early recognition of children with autism: A study of first birthday home videotapes
inferredcites →https://doi.org/10.1007/s10803-005-0046-1openalex-snapshot
Attention to Eyes and Mouth in High-Functioning Children with Autism
inferredcites →https://doi.org/10.1007/s10803-010-1033-8openalex-snapshot
Patterns of Visual Attention to Faces and Objects in Autism Spectrum Disorder
inferredcites →https://doi.org/10.1007/s10803-010-1038-3openalex-snapshot
Brief Report: Circumscribed Attention in Young Children with Autism
inferredcites →https://doi.org/10.1007/s10803-013-1910-zopenalex-snapshot
Visual Attention to Competing Social and Object Images by Preschool Children with Autism Spectrum Disorder
inferredcites →https://doi.org/10.1007/s10803-015-2546-yopenalex-snapshot
Brief Report: Patterns of Eye Movements in Face to Face Conversation are Associated with Autistic Traits: Evidence from a Student Sample
inferredcites →https://doi.org/10.1007/s11432-010-0055-3openalex-snapshot
A saliency model based on wavelet transform and visual attention
inferredcites →https://doi.org/10.1016/b978-0-444-53884-0.00026-9openalex-snapshot
How special is social looking in ASD
inferredcites →https://doi.org/10.1016/j.biopsych.2012.11.022openalex-snapshot
Decreased Spontaneous Attention to Social Scenes in 6-Month-Old Infants Later Diagnosed with Autism Spectrum Disorders
inferredcites →https://doi.org/10.1016/j.ins.2017.08.040openalex-snapshot
Visual attention analysis and prediction on human faces
inferredcites →https://doi.org/10.1016/j.jaac.2011.12.017openalex-snapshot
Parsing Heterogeneity in Autism Spectrum Disorders: Visual Scanning of Dynamic Social Scenes in School-Aged Children
inferredcites →https://doi.org/10.1016/j.neubiorev.2014.03.013openalex-snapshot
Visual social attention in autism spectrum disorder: Insights from eye tracking studies
inferredcites →https://doi.org/10.1016/j.neuron.2015.09.042openalex-snapshot
Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking
inferredcites →https://doi.org/10.1016/j.neuropsychologia.2007.08.005openalex-snapshot
Avoidance of emotionally arousing stimuli predicts social–perceptual impairment in Asperger's syndrome
inferredcites →https://doi.org/10.1016/j.neuropsychologia.2014.09.002openalex-snapshot
Autism spectrum disorder, but not amygdala lesions, impairs social attention in visual search
inferredcites →https://doi.org/10.1016/j.tics.2005.04.010openalex-snapshot
Capacity limits of information processing in the brain
inferredcites →https://doi.org/10.1016/j.visres.2005.03.019openalex-snapshot
Components of bottom-up gaze allocation in natural images
inferredcites →https://doi.org/10.1016/j.visres.2007.06.015openalex-snapshot
Predicting visual fixations on video based on low-level visual features
inferredcites →https://doi.org/10.1016/j.visres.2009.08.005openalex-snapshot
Vision in autism spectrum disorders
inferredcites →https://doi.org/10.1016/j.visres.2014.11.005openalex-snapshot
Recent developments in a computational theory of visual attention (TVA)
inferredcites →https://doi.org/10.1016/s0079-6123(08)61284-4openalex-snapshot
Progress in Brain Research
inferredcites →https://doi.org/10.1023/a:1022299920240openalex-snapshot
A Normed Study of Face Recognition in Autism and Related Disorders
inferredcites →https://doi.org/10.1037/a0022758openalex-snapshot
Happy mouth and sad eyes: Scanning emotional facial expressions.
inferredcites →https://doi.org/10.1080/09297049608401357openalex-snapshot
Face processing in autistics: Evidence for a generalised deficit?
inferredcites →https://doi.org/10.1080/17470919.2011.561547openalex-snapshot
Comparing social attention in autism and amygdala lesions: Effects of stimulus and task condition
inferredcites →https://doi.org/10.1109/34.730558openalex-snapshot
A model of saliency-based visual attention for rapid scene analysis
inferredcites →https://doi.org/10.1109/cvpr.2012.6247706openalex-snapshot
Boosting bottom-up and top-down visual features for saliency estimation
inferredcites →https://doi.org/10.1109/cvpr.2014.358openalex-snapshot
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
inferredcites →https://doi.org/10.1109/cvpr.2015.7298710openalex-snapshot
SALICON: Saliency in Context
inferredcites →https://doi.org/10.1109/cvpr.2015.7298938openalex-snapshot
Deep networks for saliency detection via local estimation and global search
inferredcites →https://doi.org/10.1109/cvpr.2017.141openalex-snapshot
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00785openalex-snapshot
Emotional Attention: A Study of Image Sentiment and Visual Attention
inferredcites →https://doi.org/10.1109/fg.2015.7284869openalex-snapshot
Cross-dataset learning and person-specific normalisation for automatic Action Unit detection
inferredcites →https://doi.org/10.1109/fg.2018.00019openalex-snapshot
OpenFace 2.0: Facial Behavior Analysis Toolkit
inferredcites →https://doi.org/10.1109/iccv.2009.5459462openalex-snapshot
Learning to predict where humans look
inferredcites →https://doi.org/10.1109/iccv.2015.38openalex-snapshot
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2017.354openalex-snapshot
Learning Visual Attention to Identify People with Autism Spectrum Disorder
inferredcites →https://doi.org/10.1109/iccvw.2017.296openalex-snapshot
Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection
inferredcites →https://doi.org/10.1109/icip.2018.8451338openalex-snapshot
Learning to Predict where the Children with Asd Look
inferredcites →https://doi.org/10.1109/icpr.2016.7900174openalex-snapshot
A deep multi-level network for saliency prediction
inferredcites →https://doi.org/10.1109/iscas.2018.8351786openalex-snapshot
Perceptual Quality Assessment of Omnidirectional Images
inferredcites →https://doi.org/10.1109/taffc.2018.2828819openalex-snapshot
Visually Interpretable Representation Learning for Depression Recognition from Facial Images
inferredcites →https://doi.org/10.1109/tbc.2018.2816783openalex-snapshot
Blind Image Quality Estimation via Distortion Aggravation
inferredcites →https://doi.org/10.1109/tip.2009.2030969openalex-snapshot
A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression
inferredcites →https://doi.org/10.1109/tip.2011.2161092openalex-snapshot
A Psychovisual Quality Metric in Free-Energy Principle
inferredcites →https://doi.org/10.1109/tip.2012.2210727openalex-snapshot
Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study
inferredcites →https://doi.org/10.1109/tip.2015.2395713openalex-snapshot
Predicting Eye Fixations With Higher-Level Visual Features
inferredcites →https://doi.org/10.1109/tip.2017.2710620openalex-snapshot
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations
inferredcites →https://doi.org/10.1109/tip.2017.2735192openalex-snapshot
Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images
inferredcites →https://doi.org/10.1109/tip.2018.2851672openalex-snapshot
Predicting Human Eye Fixations via an LSTM-Based Saliency Attentive Model
inferredcites →https://doi.org/10.1109/tmm.2017.2788206openalex-snapshot
Blind Quality Assessment Based on Pseudo-Reference Image
inferredcites →https://doi.org/10.1109/tmm.2019.2902484openalex-snapshot
Multi-Channel Decomposition in Tandem With Free-Energy Principle for Reduced-Reference Image Quality Assessment
inferredcites →https://doi.org/10.1109/tnsre.2017.2768482openalex-snapshot
A Feasibility Study of Autism Behavioral Markers in Spontaneous Facial, Visual, and Hand Movement Response Data
inferredcites →https://doi.org/10.1109/tpami.2018.2815601openalex-snapshot
What Do Different Evaluation Metrics Tell Us About Saliency Models?
inferredcites →https://doi.org/10.1111/j.1467-7687.2007.00608.xopenalex-snapshot
Altered face scanning and impaired recognition of biological motion in a 15‐month‐old infant with autism
inferredcites →https://doi.org/10.1111/j.1467-7687.2009.00942.xopenalex-snapshot
Face scanning distinguishes social from communication impairments in autism
inferredcites →https://doi.org/10.1145/2996463openalex-snapshot
Fixation Prediction through Multimodal Analysis
inferredcites →https://doi.org/10.1145/3304109.3325818openalex-snapshot
A dataset of eye movements for the children with autism spectrum disorder
inferredcites →https://doi.org/10.1167/13.10.5openalex-snapshot
Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: Evidence from multi-method analyses of eye tracking data
inferredcites →https://doi.org/10.1167/8.7.32openalex-snapshot
SUN: A Bayesian framework for saliency using natural statistics
inferredcites →https://doi.org/10.1176/appi.books.9780890425596openalex-snapshot
Diagnostic and Statistical Manual of Mental Disorders
inferredcites →https://doi.org/10.1186/1866-1955-5-28openalex-snapshot
Eye tracking in early autism research
inferredcites →https://doi.org/10.1207/s15326942dn2703_6openalex-snapshot
Understanding the Nature of Face Processing Impairment in Autism: Insights From Behavioral and Electrophysiological Studies
inferredcites →https://doi.org/10.1371/journal.pone.0085701openalex-snapshot
An Eye Tracking Investigation of Developmental Change in Bottom-up Attention Orienting to Faces in Cluttered Natural Scenes
inferredcites →https://doi.org/10.48550/arxiv.1701.01081openalex-snapshot
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1805.00611openalex-snapshot
Towards Interpretable Face Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cav.70010openalex-snapshot
A Multi‐Model Approach for Attention Prediction in Gaming Environments for Autistic Children
inferred← citeshttps://doi.org/10.1007/978-3-031-20500-2_48openalex-snapshot
Where are the Children with Autism Looking in Reality?
inferred← citeshttps://doi.org/10.1007/978-3-031-46317-4_29openalex-snapshot
Audio-Visual Saliency for Omnidirectional Videos
inferred← citeshttps://doi.org/10.1007/978-3-031-75861-4_4openalex-snapshot
Diagnosing Autism Spectrum Disorder in Children Using Various Machine Learning Methods: A Review
inferred← citeshttps://doi.org/10.1007/978-981-33-6549-0_11openalex-snapshot
Modeling the Self-navigation Behavior of Patients with Alzheimer’s Disease in Virtual Reality
inferred← citeshttps://doi.org/10.1007/978-981-97-2049-1_13openalex-snapshot
Intelligent Eye-Tracking for the Early Diagnosis of Autism: A Mental Health Disaster with Families
inferred← citeshttps://doi.org/10.1007/978-981-97-3626-3_23openalex-snapshot
ChatASD: LLM-Based AI Therapist for ASD
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Perceptual image quality assessment: a survey
inferred← citeshttps://doi.org/10.1007/s11432-024-4133-3openalex-snapshot
Perceptual video quality assessment: a survey
inferred← citeshttps://doi.org/10.1016/b978-0-12-824421-0.00018-7openalex-snapshot
Behavioral phenotype features of autism
inferred← citeshttps://doi.org/10.1016/j.actpsy.2021.103309openalex-snapshot
Children process faces holistically with the same efficiency as adults
inferred← citeshttps://doi.org/10.1016/j.displa.2021.102000openalex-snapshot
Drawing reveals hallmarks of children with autism
inferred← citeshttps://doi.org/10.1016/j.displa.2022.102175openalex-snapshot
Image visualization: Dynamic and static images generate users’ visual cognitive experience using eye-tracking technology
inferred← citeshttps://doi.org/10.1016/j.displa.2022.102360openalex-snapshot
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Dual-graph hierarchical interaction network for referring image segmentation
inferred← citeshttps://doi.org/10.1016/j.displa.2023.102583openalex-snapshot
Deep learning in pediatric neuroimaging
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107185openalex-snapshot
REMOVED: Deep learning with image-based autism spectrum disorder analysis: A systematic review
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e41333openalex-snapshot
Collaborative arts therapies as a supportive intervention for autism spectrum disorders: Bibliometric analysis, insights, and directions
inferred← citeshttps://doi.org/10.1016/j.image.2020.116092openalex-snapshot
Saliency4ASD: Challenge, dataset and tools for visual attention modeling for autism spectrum disorder
inferred← citeshttps://doi.org/10.1016/j.image.2021.116171openalex-snapshot
A new bio-inspired metric based on eye movement data for classifying ASD and typically developing children
inferred← citeshttps://doi.org/10.1016/j.image.2021.116195openalex-snapshot
Identify autism spectrum disorder via dynamic filter and deep spatiotemporal feature extraction
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Gaze analysis: A survey on its applications
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Adaptive density-based clustering algorithm with shared KNN conflict game
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Adaptive sparse dropout: Learning the certainty and uncertainty in deep neural networks
inferred← citeshttps://doi.org/10.1038/s41598-021-89023-8openalex-snapshot
Computer-aided autism diagnosis based on visual attention models using eye tracking
inferred← citeshttps://doi.org/10.1049/cvi2.12271openalex-snapshot
ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology
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From Kanner Austim to Asperger Syndromes, the Difficult Task to Predict Where ASD People Look at
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inferred← citeshttps://doi.org/10.1109/cbms52027.2021.00062openalex-snapshot
Classification of Autism Spectrum Disorder Severity Using Eye Tracking Data Based on Visual Attention Model
inferred← citeshttps://doi.org/10.1109/compsac57700.2023.00164openalex-snapshot
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