Jia-Xing Zhong

Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection

Jia-Xing Zhong, Nannan Li, Weijie Kong et al. · 2019 · 531 citations

Anomaly Detection, Machine Learning, Weak Labels +21

ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection

Weihong Lin, Jia-Xing Zhong, Shan Liu et al. · 2020 · 155 citations

Engineering, Machine Learning, Multi-image Fusion +18

Step-by-step Erasion, One-by-one Collection

Jia-Xing Zhong, Nannan Li, Weijie Kong et al. · 2018 · 92 citations

Engineering, Machine Learning, Data Deduplication +22

Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning

Nannan Li, Jia-Xing Zhong, Xiujun Shu et al. · Neurocomputing · 2022 · 30 citations

Image Analysis, Anomaly Detection, Machine Learning +10

Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector

Jia-Xing Zhong, Nannan Li, Weijie Kong et al. · arXiv (Cornell University) · 2018 · 29 citations · Full text

Engineering, Machine Learning, Action Recognition (Movement Science) +22