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Article
Open AccessNoise4Denoise: Leveraging noise for unsupervised point cloud denoising
Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth labels. However, in practice, it is not always feasible to obtai...
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Article
Open AccessSingle-stage object detector with attention mechanism for squamous cell carcinoma feature detection using histopathological images
Squamous cell carcinoma is the most common type of cancer that occurs in squamous cells of epithelial tissue. Histopathological evaluation of tissue samples is the gold standard approach used for carcinoma dia...
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Article
Open Access3D face recognition: A comprehensive survey in 2022
In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as 3D geometric information provides more discriminative features. This comprehensive survey reviews 3D face recogni...
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Article
Open AccessTowards uniform point distribution in feature-preserving point cloud filtering
While a popular representation of 3D data, point clouds may contain noise and need filtering before use. Existing point cloud filtering methods either cannot preserve sharp features or result in uneven point d...
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Article
Open AccessApplication of evolutionary and swarm optimization in computer vision: a literature survey
Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in solving combinatorial and NP-hard optimization problems in various research fields. However, in the field of computer vis...
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Article
Open AccessG2MF-WA: Geometric multi-model fitting with weakly annotated data
In this paper we address the problem of geometric multi-model fitting using a few weakly annotated data points, which has been little studied so far. In weak annotating (WA), most manual annotations are suppos...
