Search Results for author: Chaoqin Huang

Found 5 papers, 1 papers with code

Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework

no code implementations9 Dec 2020 Fei Ye, Huangjie Zheng, Chaoqin Huang, Ya zhang

Based on this object function we introduce a novel information theoretic framework for unsupervised image anomaly detection.

Anomaly Detection

ESAD: End-to-end Deep Semi-supervised Anomaly Detection

no code implementations9 Dec 2020 Chaoqin Huang, Fei Ye, Peisen Zhao, Ya zhang, Yan-Feng Wang, Qi Tian

This paper explores semi-supervised anomaly detection, a more practical setting for anomaly detection where a small additional set of labeled samples are provided.

Anomaly Detection Medical Diagnosis +1

Attribute Restoration Framework for Anomaly Detection

1 code implementation25 Nov 2019 Chaoqin Huang, Fei Ye, Jinkun Cao, Maosen Li, Ya zhang, Cewu Lu

We here propose to break this equivalence by erasing selected attributes from the original data and reformulate it as a restoration task, where the normal and the anomalous data are expected to be distinguishable based on restoration errors.

Anomaly Detection

Recurrent Residual Module for Fast Inference in Videos

no code implementations CVPR 2018 Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu

Deep convolutional neural networks (CNNs) have made impressive progress in many video recognition tasks such as video pose estimation and video object detection.

Pose Estimation Video Object Detection +1

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