25 citations · 28 across the 8 of their papers we have counts for
8 papers
Advancements in Repetitive Action Counting: Joint-Based PoseRAC Model With Improved Performance
Haodong Chen, Ming C. Leu, Md Moniruzzaman +2
Repetitive counting (RepCount) is critical in various applications, such as fitness tracking and rehabilitation. Previous methods have relied on the estimation of red-green-and-blu…
Cross-domain Microscopy Cell Counting by Disentangled Transfer Learning
Zuhui Wang
Microscopy images from different imaging conditions, organs, and tissues often have numerous cells with various shapes on a range of backgrounds. As a result, designing a deep lear…
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos
Muhammad Monjurul Karim, Ruwen Qin, Zhaozheng Yin
Detecting dangerous traffic agents in videos captured by vehicle-mounted dashboard cameras (dashcams) is essential to facilitate safe navigation in a complex environment. Accident-…
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
Muhammad Monjurul Karim, Ruwen Qin, Zhaozheng Yin +1
Bridge inspection is an important step in preserving and rehabilitating transportation infrastructure for extending their service lives. The advancement of mobile robotic technolog…
Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks
Yu Li, Muhammad Monjurul Karim, Ruwen Qin
Reducing traffic fatalities and serious injuries is a top priority of the US Department of Transportation. The computer vision (CV)-based crash anticipation in the near-crash phase…
Detecting Medical Misinformation on Social Media Using Multimodal Deep Learning
Zuhui Wang, Zhaozheng Yin, Young Anna Argyris
In 2019, outbreaks of vaccine-preventable diseases reached the highest number in the US since 1992. Medical misinformation, such as antivaccine content propagating through social m…