4 papers
Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments
Keqin Li, Jiajing Chen, Denzhi Yu +9
At present, in most warehouse environments, the accumulation of goods is complex, and the management personnel in the control of goods at the same time with the warehouse mobile ro…
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…
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…