83 Result(s)
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Article
Open AccessTemporally Consistent Enhancement of Low-Light Videos via Spatial-Temporal Compatible Learning
Temporal inconsistency is the annoying artifact that has been commonly introduced in low-light video enhancement, but current methods tend to overlook the significance of utilizing both data-centric clues and ...
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Article
Open AccessDeep learning-driven automated quality assessment of ultra-widefield optical coherence tomography angiography images for diabetic retinopathy
Image quality assessment (IQA) of fundus images constitutes a foundational step in automated disease analysis. This process is pivotal in supporting the automation of screening, diagnosis, follow-up, and relat...
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Article
Open AccessNeural 3D reconstruction from sparse views using geometric priors
Sparse view 3D reconstruction has attracted increasing attention with the development of neural implicit 3D representation. Existing methods usually only make use of 2D views, requiring a dense set of input vi...
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Article
A review on COVID-19 forecasting models
The novel coronavirus (COVID-19) has spread to more than 200 countries worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such, several machine learning models that can forec...
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Article
Open AccessAn anisotropic Chebyshev descriptor and its optimization for deformable shape correspondence
Shape descriptors have recently gained popularity in shape matching, statistical shape modeling, etc. Their discriminative ability and efficiency play a decisive role in these tasks. In this paper, we first pr...
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Article
Open AccessJoint-product representation learning for domain generalization in classification and regression
In this work, we study the problem of generalizing a prediction (classification or regression) model trained on a set of source domains to an unseen target domain, where the source and target domains are diffe...
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Article
Open AccessGlobal video object segmentation with spatial constraint module
We present a lightweight and efficient semi-supervised video object segmentation network based on the space-time memory framework. To some extent, our method solves the two difficulties encountered in traditio...
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Article
DCU-Net: a dual-channel U-shaped network for image splicing forgery detection
The detection and location of image splicing forgery are a challenging task in the field of image forensics. It is to study whether an image contains a suspicious tampered area pasted from another image. In th...
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Article
Attention mechanism-based deep learning method for hairline fracture detection in hand X-rays
Wrist and finger fractures detection is always the weak point of associate study, because there are small targets in X-rays, such as hairline fractures. In this paper, a dataset, consisting of 4346 anteroposte...
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Article
Open AccessFine-grained precise-bone age assessment by integrating prior knowledge and recursive feature pyramid network
Bone age assessment (BAA) evaluates individual skeletal maturity by comparing the characteristics of skeletal development to the standard in a specific population. The X-ray image examination for bone age is t...
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Article
Open AccessPalpation localization of radial artery based on 3-dimensional convolutional neural networks
Palpation localization is essential for detecting physiological parameters of the radial artery for pulse diagnosis of Traditional Chinese Medicine (TCM). Detecting signal or applying pressure at the wrong loc...
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Article
Open AccessCorrection to: Recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation
An amendment to this paper has been published and can be accessed via the original article.
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Article
Open AccessRecent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation
Photoacoustic (PA) imaging has been widely used in biomedical research and preclinical studies during the past two decades. It has also been explored for nondestructive testing and evaluation (NDT/E) and for i...
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Chapter and Conference Paper
Correction to: Crossed-Time Delay Neural Network for Speaker Recognition
The book was inadvertently published with a typo in the third author’s name “**aoshu Shi”, i.e., an extra “s” was added whereas it should have read “**aohu Shi”. This has been now corrected with the erratum.
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Article
Open AccessA self-adaptive single underwater image restoration algorithm for improving graphic quality
A high-quality underwater image is essential to many industrial and academic applications in the field of image processing and analysis. Unfortunately, underwater images frequently demonstrate poor visual qual...
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Chapter and Conference Paper
Visual Compiler: Towards Translating Digital UI Design Draft to Front-End Code Automatically
One assignment of a front-end engineer is to transform the User Interface (UI) design drafts to arrangements with program compatibilities. To furnish the customer requirement, engineers usually need to consid...
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Chapter and Conference Paper
Comprehensive Evaluation of an Educational Information Management Solution for Parents: MyStudentScope
Existing electronic student information systems used by schools were designed from the perspective of the educators or students, not the parents. Parents and caregivers have challenges optimizing their use of ...
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Chapter and Conference Paper
A Genetic Algorithm for Travel Itinerary Recommendation with Mandatory Points-of-Interest
Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, people would visit the POIs that are popular or special in a city and also have desired starting POIs (e.g., P...
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Article
Open AccessResearch on establishing numerical model of geo material based on CT image analysis
Geotechnical engineering material is a kind of heterogeneous composite material. The stone, mineral, gravel, hole, and crack contained in it have different physical and mechanical properties, and their respons...
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Chapter and Conference Paper
Design Criteria for Kansei-Oriented Elderly Products
The purposes of this study included: (1) identifying the specific design components of functional shoes that affect the psychological feeling of the elderly, and establishing their weights; (2) exploring the ...
