5 papers
ASD-FEAT: A Multi-Modal Infant Video-Derived Dataset for Early ASD Risk Prediction
Sidrah Liaqat, Halil Helvaci, Sen-Ching Cheung +4
Accurate early screening for Autism Spectrum Disorder (ASD) is a precursor to timely intervention, which is critical for improving cognitive and behavioral outcomes. We present ASD…
Boundary-Centric Clip-Budgeted Active Learning for Temporal Action Segmentation
Halil Ismail Helvaci, Sen-ching Samson Cheung
Temporal action segmentation (TAS) in untrimmed videos requires dense temporal supervision. However, most of the annotation cost is spent identifying action transitions where segme…
MMTA: Multi Membership Temporal Attention for Fine-Grained Stroke Rehabilitation Assessment
Halil Ismail Helvaci, Justin Huber, Jihye Bae +1
To empower the iterative assessments involved during a person's rehabilitation, automated assessment of a person's abilities during daily activities requires temporally precise seg…
HRTR: A Single-stage Transformer for Fine-grained Sub-second Action Segmentation in Stroke Rehabilitation
Halil Ismail Helvaci, Justin Philip Huber, Jihye Bae +1
Stroke rehabilitation often demands precise tracking of patient movements to monitor progress, with complexities of rehabilitation exercises presenting two critical challenges: fin…
Localizing Moments of Actions in Untrimmed Videos of Infants with Autism Spectrum Disorder
Halil Ismail Helvaci, Sen-ching Samson Cheung, Chen-Nee Chuah +1
Autism Spectrum Disorder (ASD) presents significant challenges in early diagnosis and intervention, impacting children and their families. With prevalence rates rising, there is a…