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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 AccessView suggestion for interactive segmentation of indoor scenes
Point cloud segmentation is a fundamental problem. Due to the complexity of real-world scenes and the limitations of 3D scanners, interactive segmentation is currently the only way to cope with all kinds of po...
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Article
Open Access3D indoor scene modeling from RGB-D data: a survey
3D scene modeling has long been a fundamental problem in computer graphics and computer vision. With the popularity of consumer-level RGB-D cameras, there is a growing interest in digitizing real-world indoor ...
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Article
Open AccessSpectral Curvature Clustering (SCC)
This paper presents novel techniques for improving the performance of a multi-way spectral clustering framework (Govindu in Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Patte...