This paper investigates the intelligent computing task-oriented computin...
The recent advances of AI technology, particularly in AI-Generated Conte...
Data videos are becoming increasingly popular in society and academia. Y...
Forest land plays a vital role in global climate, ecosystems, farming an...
Registration is a fundamental but critical task in point cloud processin...
In this work, we propose a novel neural network focusing on semantic lab...
We consider the problem of detecting sparse heterogeneous mixtures in a
...
Access to labeled reference data is one of the grand challenges in super...
Deep neural networks (DNNs) have been used in forensics to identify fake...
The rapid development of deep learning techniques has created new challe...
No unmeasured confounding is often assumed in estimating treatment effec...
In a bivariate setting, we consider the problem of detecting a sparse
co...
We consider a Gaussian contamination (i.e., mixture) model where the
con...