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20162023
most citedSimultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions

16 citations · 44 across the 10 of their papers we have counts for

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cs.CV2023

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,…

cs.CV2022

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…

cs.CV202113 cited

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…

cs.CV2021

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…

cs.CV2020

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…

cs.CV202016 cited

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…