7 citations · 21 across the 8 of their papers we have counts for
9 papers
A Novel Robot-Assisted Learning Pedagogy for Children with ASD
Laura Boccanfuso, Erin Barney, Marilena Mademtzi +7
Interaction paradigms used in robot-assisted autism intervention have historically employed robots as teachers, clinical assistants, or more-abled peers to promote a variety of soc…
Temporal Generalization in fNIRS-Based Autism Classification: A Cross-Time-Window Transfer Benchmark
Marios Petrov, Sahana Vinayak, Targol Bakhtiarvand +4
Functional near-infrared spectroscopy (fNIRS) is a promising modality for autism spectrum disorder (ASD) classification, yet existing approaches assume temporally aligned evaluatio…
Gaze Behavior During a Long-Term, In-Home, Social Robot Intervention for Children with ASD
Rebecca Ramnauth, Frederick Shic, Brian Scassellati
Atypical gaze behavior is a diagnostic hallmark of Autism Spectrum Disorder (ASD), playing a substantial role in the social and communicative challenges that individuals with ASD f…
Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms
Ethan Wilson, Frederick Shic, Sophie Jörg +1
Advances in face swapping have enabled the automatic generation of highly realistic faces. Yet face swaps are perceived differently than when looking at real faces, with key differ…
Introducing Explicit Gaze Constraints to Face Swapping
Ethan Wilson, Frederick Shic, Eakta Jain
Face swapping combines one face's identity with another face's non-appearance attributes (expression, head pose, lighting) to generate a synthetic face. This technology is rapidly…
Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy
Ethan Wilson, Frederick Shic, Jenny Skytta +1
With rapid advancements in image generation technology, face swapping for privacy protection has emerged as an active area of research. The ultimate benefit is improved access to v…
Learning Oculomotor Behaviors from Scanpath
Beibin Li, Nicholas Nuechterlein, Erin Barney +9
Identifying oculomotor behaviors relevant for eye-tracking applications is a critical but often challenging task. Aiming to automatically learn and extract knowledge from existing…
Sparsely Grouped Input Variables for Neural Networks
Beibin Li, Nicholas Nuechterlein, Erin Barney +4
In genomic analysis, biomarker discovery, image recognition, and other systems involving machine learning, input variables can often be organized into different groups by their sou…
A Facial Affect Analysis System for Autism Spectrum Disorder
Beibin Li, Sachin Mehta, Deepali Aneja +4
In this paper, we introduce an end-to-end machine learning-based system for classifying autism spectrum disorder (ASD) using facial attributes such as expressions, action units, ar…