1 citations · 1 across the 2 of their papers we have counts for
3 papers
"Zero-Shot" Point Cloud Upsampling
Kaiyue Zhou, Ming Dong, Suzan Arslanturk
Recent supervised point cloud upsampling methods are restricted by the size of training data and are limited in terms of covering all object shapes. Besides the challenges faced du…
Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning
Suleyman Yildirim, Alper Ekrem Murat, Murat Yildirim +1
Initial development and subsequent calibration of discrete event simulation models for complex systems require accurate identification of dynamically changing process characteristi…
Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images
Hassan Abdallah, Asiri Liyanaarachchi, Maranda Saigh +6
Deep Neural Networks (DNN) have been widely used to carry out segmentation tasks in both electron and light microscopy. Most DNNs developed for this purpose are based on some varia…