IEEE

Remaining Useful Life Prediction Based on Interpretable Serialized Variational Autoencoder: A Drift-Diffusion Stochastic Equation Perspective

Abstract: As a proactive maintenance approach, remaining useful life (RUL) prediction plays a key role in smart operation and maintenance of industrial systems. To enhance the interpretability of deep ...
IEEE

Event Camera Object Detection Using Bayesian Neural Network-Conditional Variational Autoencoders and Improved YOLOv10

Abstract: We conducted an in-depth investigation into the impact of Conditional Variational Autoencoders (CVAE) and Bayesian Neural Networks (BNN) on high dynamic range (HDR) image reconstruction. A ...
GitHub

Raghav0079/Variational-Lossy-Autoencoder

This repository provides an implementation of the Variational Lossy Autoencoder (VLAE) for the MNIST dataset, featuring a conditional prior. The project explores lossy compression and generative ...
GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...