X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: Road network information is a core component of online maps and plays a crucial role in navigation, urban planning, and traffic management. Convolutional neural networks (CNNs) have ...

Abstract: Three-dimensional (3D) data analysis, especially 3D reconstruction, is critical within integrated circuits for quality control and inspection. The traditional 3D reconstruction, like ...