Qing Zhu (Judith) is an MPhil student at The Hong Kong University of Science and Technology (Guangzhou). Her research focuses on multimodal anomaly detection, specifically 3D point cloud analysis and anomaly recognition in industrial scenarios. Her interests include 3D computer vision and deep learning applied to industrial intelligent inspection, aiming to develop efficient and robust intelligent anomaly detection algorithms.

Interests
  • 3D Point Cloud Analysis and Anomaly Detection
  • Multimodal Data Fusion
  • Intelligent Industrial Quality Inspection and Anomaly Recognition
  • Unsupervised/Semi-Supervised Anomaly Detection Methods
Education
  • B.Sc. in Chongqing University