IEEE

Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction

Abstract: This study introduces a novel approach that integrates dynamic Bayesian network with attention based spatio-temporal graph convolutional network to forecast railway train delays, capturing ...
IEEE

Multi-Scale Structural Graph Convolutional Network for Skeleton-Based Action Recognition

Abstract: Graph convolutional networks (GCNs) have attracted considerable interest in skeleton-based action recognition. Existing GCN-based models have proposed methods to learn dynamic graph ...
GitHub

Skin Lesion Classification with CNN Ensemble

Weighted CNN Ensemble · Test-Time Augmentation · Clinical Threshold Calibration · Grad-CAM This project implements an end-to-end deep learning pipeline for the automated classification of dermoscopic ...
GitHub

Diffusion Transformers with Representation Autoencoders (RAE)

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...