16 citations · 44 across the 10 of their papers we have counts for
16 papers · 1 filter
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,…
Pressure Eye: In-bed Contact Pressure Estimation via Contact-less Imaging
Shuangjun Liu, Sarah Ostadabbas
Computer vision has achieved great success in interpreting semantic meanings from images, yet estimating underlying (non-visual) physical properties of an object is often limited t…
A Review on Human Pose Estimation
Rohit Josyula, Sarah Ostadabbas
The phenomenon of Human Pose Estimation (HPE) is a problem that has been explored over the years, particularly in computer vision. But what exactly is it? To answer this, the conce…
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion
Amirreza Farnoosh, Sarah Ostadabbas
In this paper, we propose a Bayesian switching dynamical model for segmentation of 3D pose data over time that uncovers interpretable patterns in the data and is generative. Our mo…
Invariant Representation Learning for Infant Pose Estimation with Small Data
Xiaofei Huang, Nihang Fu, Shuangjun Liu +1
Infant motion analysis is a topic with critical importance in early childhood development studies. However, while the applications of human pose estimation have become more and mor…
Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions
Shuangjun Liu, Xiaofei Huang, Nihang Fu +3
Computer vision (CV) has achieved great success in interpreting semantic meanings from images, yet CV algorithms can be brittle for tasks with adverse vision conditions and the one…