Search Results for author: Sheng-Yong Chen

Found 8 papers, 2 papers with code

Real-Time Neural Network Scheduling of Emergency Medical Mask Production during COVID-19

no code implementations28 Jul 2020 Chen-Xin Wu, Min-Hui Liao, Mumtaz Karatas, Sheng-Yong Chen, Yu-Jun Zheng

We applied the proposed approach to schedule emergency production tasks for a medical mask manufacturer during the peak of COVID-19 in China.

Improving auto-encoder novelty detection using channel attention and entropy minimization

no code implementations3 Jul 2020 Miao Tian, Dongyan Guo, Ying Cui, Xiang Pan, Sheng-Yong Chen

Novelty detection is a important research area which mainly solves the classification problem of inliers which usually consists of normal samples and outliers composed of abnormal samples.

Residual-Recursion Autoencoder for Shape Illustration Images

no code implementations6 Feb 2020 Qianwei Zhou, Peng Tao, Xiaoxin Li, Sheng-Yong Chen, Fan Zhang, Haigen Hu

Shape illustration images (SIIs) are common and important in describing the cross-sections of industrial products.

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

1 code implementation CVPR 2020 Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Sheng-Yong Chen

The proposed framework SiamCAR consists of two simple subnetworks: one Siamese subnetwork for feature extraction and one classification-regression subnetwork for bounding box prediction.

General Classification Region Proposal +1

Towards the Automation of Deep Image Prior

no code implementations17 Nov 2019 Qianwei Zhou, Chen Zhou, Haigen Hu, Yuhang Chen, Sheng-Yong Chen, Xiaoxin Li

Single image inverse problem is a notoriously challenging ill-posed problem that aims to restore the original image from one of its corrupted versions.

Denoising Super-Resolution

End-to-end feature fusion siamese network for adaptive visual tracking

no code implementations4 Feb 2019 Dongyan Guo, Jun Wang, Weixuan Zhao, Ying Cui, Zhenhua Wang, Sheng-Yong Chen

Both features and the channel weights are utilized in a template generation layer to generate a discriminative template.

Visual Tracking

Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA

no code implementations3 Sep 2017 Yang Li, Guangcan Liu, Sheng-Yong Chen

Due to its efficiency and stability, Robust Principal Component Analysis (RPCA) has been emerging as a promising tool for moving object detection.

Object Detection

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