Research of microstructure and permeability evolution of coal following LN2 treatment
elucidate the process of cryogenic fracturing due to environmentally friendly behavior in …

This paper proposes a cross-modal distillation framework PartDistill which transfers 2D
knowledge from vision-language models (VLMs) to facilitate 3D shape part segmentation …

It has been established that training a box-based detector network can enhance the
localization performance of weakly supervised and unsupervised methods. Moreover, we …

The most widely used method for obtaining high-quality two-dimensional (2D) materials is
through mechanical exfoliation of bulk crystals. Manual identification of suitable flakes from …

Blockchain has recently been regarded as an important enabler for building secure energy
trading in microgrid systems because of its inherent features of distributively providing …

Digital terrain model (DTM) creation is a modeling process that represents the Earth's
surface. An aptly designed DTM generation method tailored for intended study can …

Abstract Analysis of 3D medical imaging data has been a large topic of focus in the area of
Machine Learning/Artificial Intelligence, though little work has been done in algorithmic …

Abstract This work tackles Weakly Supervised Anomaly detection, in which a predictor is
allowed to learn not only from normal examples but also from a few labeled anomalies made …

In this paper, we present novel strategies for optimizing the performance of many binary
image processing algorithms. These strategies are collected in an open-source framework …

This article is about Connected Components Labeling (CCL) algorithms developed for GPU
accelerators. The task itself is employed in many modern image-processing pipelines and …