Tag: feature extraction

Abstract: Fine-scale pixel-level annotation of minirhizotron root images is a less common and challenging task. We present an interactive segmentation framework to accelerate root annotation. We leverage the concept of few-shot segmentation so that the pre-trained model can be effectively fine-tuned and transferred to an unseen category. To provide immediate feedback for real-time interaction, we […]

Congratulations to Gatorsense alumni, Changzhe Jiao and Chao Chen,  as well as Alina Zare and collaborators Shuipong Guo, Dong Hai, Bo-Yu Su, Marjorie Skubic , Licheng Jiao and Domonic Ho!  Their paper, “Non-Invasive Heart Rate Estimation from Ballistocardiograms using Bidirectional LSTM Regression,” was recently accepted to the IEEE Journal of Biomedical and Health Informatics (EMB). […]

Abstract: Non-invasive heart rate estimation is of great importance in daily monitoring of cardiovascular diseases. In this paper, a bidirectional long short term memory (bi-LSTM) regression network is developed for non-invasive heart rate estimation from the ballistocardiograms (BCG) signals. The proposed deep regression model provides an effective solution to the existing challenges in BCG heart […]

Abstract: With the increasing popularity of using autonomous underwater vehicles (AUVs) to gather large quantities of Synthetic Aperture Sonar (SAS) seafloor imagery, the burden on human operators to identify targets in these seafloor images has increased significantly. Existing methods of automated target detection can have perfect or near-perfect accuracy, but often produce a high ratio […]