2 citations · 3 across the 9 of their papers we have counts for
9 papers
Overcoming Small Data Limitations in Video-Based Infant Respiration Estimation
Liyang Song, Hardik Bishnoi, Sai Kumar Reddy Manne +3
The development of contactless respiration monitoring for infants could enable advances in the early detection and treatment of breathing irregularities, which are associated with…
SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
Yu Zhang, Yuqi Xie, Huihan Liu +4
Imitation learning advances robot capabilities by enabling the acquisition of diverse behaviors from human demonstrations. However, large-scale datasets used for policy training of…
Subtle Signals: Video-based Detection of Infant Non-nutritive Sucking as a Neurodevelopmental Cue
Shaotong Zhu, Michael Wan, Sai Kumar Reddy Manne +2
Non-nutritive sucking (NNS), which refers to the act of sucking on a pacifier, finger, or similar object without nutrient intake, plays a crucial role in assessing healthy early de…
Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public Benchmark
Sai Kumar Reddy Manne, Shaotong Zhu, Sarah Ostadabbas +1
Respiration is a critical vital sign for infants, and continuous respiratory monitoring is particularly important for newborns. However, neonates are sensitive and contact-based se…
A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants
Shaotong Zhu, Michael Wan, Elaheh Hatamimajoumerd +10
We present an end-to-end computer vision pipeline to detect non-nutritive sucking (NNS) -- an infant sucking pattern with no nutrition delivered -- as a potential biomarker for dev…
Automatic Assessment of Infant Face and Upper-Body Symmetry as Early Signs of Torticollis
Michael Wan, Xiaofei Huang, Bethany Tunik +1
We apply computer vision pose estimation techniques developed expressly for the data-scarce infant domain to the study of torticollis, a common condition in infants for which early…
Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations
Xiaofei Huang, Michael Wan, Lingfei Luan +2
Bilateral postural symmetry plays a key role as a potential risk marker for autism spectrum disorder (ASD) and as a symptom of congenital muscular torticollis (CMT) in infants, but…
InfAnFace: Bridging the infant-adult domain gap in facial landmark estimation in the wild
Michael Wan, Shaotong Zhu, Lingfei Luan +6
We lay the groundwork for research in the algorithmic comprehension of infant faces, in anticipation of applications from healthcare to psychology, especially in the early predicti…
Heuristic Weakly Supervised 3D Human Pose Estimation
Shuangjun Liu, Michael Wan, Sarah Ostadabbas
Monocular 3D human pose estimation from RGB images has attracted significant attention in recent years. However, recent models depend on supervised training with 3D pose ground tru…