He is an Associate Editor for the journals Image and Vision Computing and IEEE Trans Pattern Analysis and Machine Intelligence (the top journal in his field). He was awarded a Royal Society Leverhulme ...

This study aims to explore an autoencoder-based method for generating ... to the flattened three-dimensional image data. This symmetry between the encoder and decoder layers facilitates accurate ...

Abstract: Image reconstruction-based methods with autoencoder have been widely used for unsupervised anomaly detection. By training the reconstruction on normal ...

Evaluating the performance of Generative Adversarial Networks (GANs) and autoencoder ... assess image quality and diversity. Autoencoders are evaluated based on reconstruction error, examining ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

Abstract: Considering the reconstruction error of autoencoder can reflect the characteristic of anomalies, this paper presents a novel hyperpsectral anomaly detection ...