Anomaly analysis is an important component of any surveillance system. In recent years, it
has drawn the attention of the computer vision and machine learning communities. In this …

Artificial intelligence (AI) applications in medicine and healthcare have been growing rapidly
in recent years. More clinician-scientists have been interested in engaging in the medical AI …

An efficient solution to semantic segmentation of large-scale indoor scene point clouds is
proposed in this work. It is named GSIP (Green Segmentation of Indoor Point clouds) and its …

On the basis of DefakeHop, an enhanced lightweight Deepfake detector called
DefakeHop++ is proposed in this work. The improvements lie in two areas. First, DefakeHop …

This work presents a generative modeling approach based on successive subspace
learning. Unlike most generative models in the literature, our method does not utilize neural …

A robust fake satellite image detection method, called Geo-DefakeHop, is proposed in this
work. Geo-DefakeHop is developed based on the parallel subspace learning (PSL) …

ABSTRACT A novel learning solution to image steganalysis based on the green learning
paradigm, called Green Steganalyzer (GS), is proposed in this work. GS consists of three …

The design of robust learning systems that offer stable performance under a wide range of
supervision degrees is investigated in this work. We choose the image classification …

An explainable, efficient, and lightweight method for texture generation, called TGHop (an
acronym of Texture Generation PixelHop), is proposed in this work. Although synthesis of …

Based on PixelHop and PixelHop++, which are recently developed using the successive
subspace learning (SSL) framework, we propose an enhanced solution for object …