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: Implicit Neural Representation (INR)-based SLAM has a critical issue where all keyframes must be stored in memory for post-training whenever a remapping is needed due to the neural network's ...

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 ...

People tend to be self-preoccupied. Self-interest is good when it ensures that one's needs are met, but it can also be maladaptive; research shows that the tendency to self-focus promotes the ...

Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous influence on our culture as a whole. In Pong’s time, its popularity ushered ...

Abstract: Brain-computer interfaces rely on precise decoding of neural signals, where spike sorting is a critical step to extract individual neuronal activities from complex neural data. This works ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...