26 citations · 28 across the 4 of their papers we have counts for
4 papers
Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the Art
Elaheh Hatamimajoumerd, Pooria Daneshvar Kakhaki, Xiaofei Huang +3
Automated human action recognition, a burgeoning field within computer vision, boasts diverse applications spanning surveillance, security, human-computer interaction, tele-health,…
Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT
Lingfei Luan, Xi Lin, Wenbiao Li
The emergence of artificial intelligence has incited a paradigm shift across the spectrum of human endeavors, with ChatGPT serving as a catalyst for the transformation of various e…
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…