LoD-Loc tackles visual localization w.r.t a scene represented as LoD 3D map. Given a query image and its pose prior, the method utilizes the wireframe of LoD models to recover the camera pose. This ...

Abstract: Scene text segmentation is to predict pixel-wise text regions from an image, enabling in-image text editing or removal. One of the primary challenges is to remove noises including non-text ...

Abstract: Network Function Virtualization (NFV) is essential for ensuring efficient and scalable Internet-of-Things(IoT) networks. However, optimizing resource allocation in an NFV-enabled IoT (NIoT) ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...