4 citations · 4 across the 1 of their papers we have counts for
4 papers
Exploiting Diffusion Prior for Out-of-Distribution Detection
Armando Zhu, Jiabei Liu, Keqin Li +4
Out-of-distribution (OOD) detection is crucial for deploying robust machine learning models, especially in areas where security is critical. However, traditional OOD detection meth…
Enhanced Detection Classification via Clustering SVM for Various Robot Collaboration Task
Rui Liu, Xuanzhen Xu, Yuwei Shen +4
We introduce an advanced, swift pattern recognition strategy for various multiple robotics during curve negotiation. This method, leveraging a sophisticated k-means clustering-enha…
Utilizing Deep Learning to Optimize Software Development Processes
Keqin Li, Armando Zhu, Peng Zhao +2
This study explores the application of deep learning technologies in software development processes, particularly in automating code reviews, error prediction, and test generation…
Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classification
Armando Zhu, Keqin Li, Tong Wu +2
With wearing masks becoming a new cultural norm, facial expression recognition (FER) while taking masks into account has become a significant challenge. In this paper, we propose a…