34 Result(s)
within
Hui** Ding
Computer Science
English
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Chapter and Conference Paper
SLf-UNet: Improved UNet for Brain MRI Segmentation by Combining Spatial and Low-Frequency Domain Features
Deep learning-based methods have shown remarkable performance in brain tumor image segmentation. However, there is a lack of research on segmenting brain tumor lesions using frequency domain features of images...
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Article
A deep learning image inpainting method based on stationary wavelet transform
The development of deep learning has greatly improved the image inpainting performance in the past decades. In fact, image inpainting for different tasks usually requires different models. For instance, the hi...
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Article
A computational model to identify fertility-related proteins using sequence information
Fertility is the most crucial step in the development process, which is controlled by many fertility-related proteins, including spermatogenesis-, oogenesis- and embryogenesis-related proteins. The identificat...
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Chapter and Conference Paper
Investigating the Impact of Product Contours on User Perception of Product Attributes
Perceptual engineering research has examined product contours as a crucial component of product design. The research, however, mostly focuses on the contours of particular products, and it is not yet obvious w...
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Chapter and Conference Paper
Frame Interpolation for Weather Radar Data
Rain and snow contain particles generated by different physical and chemical processes. Weather radars send directional pulses of microwave radiation, on the order of a microsecond long. Between each pulse, th...
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Chapter and Conference Paper
Designing and Evaluating MahjongBrain: A Digital Cognitive Assessment Tool Through Gamification
Early detection of cognitive decline is of utmost importance, as research suggests that certain risk factors can be modified to slow down or even prevent the onset of Alzheimer’s disease. However, traditional ...
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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
Digital Mahjong System: Towards Precise Cognitive Assessment with IoT Technologies
To the best of our knowledge, this paper is the first to apply IoT technologies to transform the popular Mahjong game into a Digital Mahjong System (DMS) for digitally performing cognitive assessments. People ...
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Chapter and Conference Paper
Information Extraction of Air-Traffic Control Instructions via Pre-trained Models
The air traffic controllers always use air-traffic control instructions (ATC instructions) to command aircrafts. The ATC instruction consists of some situation mentions such as flight number, status, and targe...
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Chapter and Conference Paper
Small-Object Detection with Super Resolution Embedding
The detection performance of ground vehicles on the airport surface in video-sensor based air traffic control surveillance has not been satisfactory compared to larger planes, especially in panoramic images of...
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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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Article
Fusing structure and color features for cancelable face recognition
Face-based biometric recognition is widely used nowadays, where substantial face images are commonly stored on third-party servers. Since the sensitive information of an individual is contained in facial image...
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Chapter and Conference Paper
A Method Based on Deep Reinforcement Learning to Generate Control Strategy for Aircrafts in Terminal Sector
With the increasing air traffic density and complexity in terminal sector, air traffic controllers will face more challenges and pressures to ensure the safe and efficient operation of air traffic. In this wor...
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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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Article
Color image encryption based on discrete trinion Fourier transform and random-multiresolution singular value decomposition
With more and more color images are spread and shared in the untrusted cloud server remotely over the open Internet, some private or confidential information may be contained, it is necessary to develop crypto...
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Chapter and Conference Paper
MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data
Feature engineering usually needs to excavate dense-and-implicit cross features from multi-filed sparse data. Recently, many state-of-the-art models have been proposed to achieve low-order and high-order feat...
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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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Article
Single-target localization in video sequences using offline deep-ranked metric learning and online learned models updating
Foreground targets localization in video sequences receives much popularity in computer vision during the past few years, and its studies are highly related toward machine learning techniques. Driven by the re...
