Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...

Abstract: This research focuses on the design, verification, and implementation of a 6T SRAM using HDL, UVM, and FPGA for performance optimization. A reusable UVM testbench ensures thorough ...

Abstract: Convolutional Neural Networks (CNNs) are essential in AI for image tasks like facial recognition and object detection. While they improve accuracy, deploying them on hardware is challenging ...

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 ...