7 Result(s)
within
Chapter
Conference Paper
Hui** Ding
Computer Science
Image Processing and Computer Vision
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Chapter and Conference Paper
Incomplete Cigarette Code Recognition via Unified SPA Features and Graph Space Constraints
Cigarette code is a 32-character string printed on a cigarette package, which can be used by tobacco administrations to determine the legality of distribution. Unfortunately, the recognition task for incomplet...
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Chapter and Conference Paper
Spatial-Temporal Contextual Feature Fusion Network for Movie Description
The movie description task aims to generate narrative textual descriptions that match the content of the movie. Most of the current methods lack the ability to consider comprehensive visual content analysis an...
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Chapter and Conference Paper
BDFNet: Boundary-Assisted and Discriminative Feature Extraction Network for COVID-19 Lung Infection Segmentation
The coronavirus disease (COVID-19) pandemic has affected billions of lives around the world since its first outbreak in 2019. The computed tomography (CT) is a valuable tool for the COVID-19 associated clinica...
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Chapter and Conference Paper
Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation
A novel WGAN-GP-based model is proposed in this study to fulfill bi-directional synthesis of medical images for the first time. GMM-based noise generated from the Glow model is newly incorporated into the WGAN...
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Chapter and Conference Paper
Development of a Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation
Microwave ablation (MWA) is an effective minimal invasive therapy of hepatic cancer. Preoperative treatment planning is key to successful ablation, which aims to find a plan with the minimum number of electrod...
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Chapter and Conference Paper
Arterial Spin Labeling Images Synthesis via Locally-Constrained WGAN-GP Ensemble
Arterial spin labeling (ASL) images begin to receive much popularity in dementia diseases diagnosis recently, yet it is still not commonly seen in well-established image datasets for investigating dementia di...
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Chapter and Conference Paper
Low-Light Image Enhancement Based on Constrained Norm Estimation
Low-light images often suffer from poor quality and low visibility. Improving the quality of low-light image is becoming a highly desired subject in both computational photography and computer vision applicati...
