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pro vyhledávání: '"Jiang, Jincen"'
Autor:
Jiang, Jincen, Zhou, Qianyu, Li, Yuhang, Lu, Xuequan, Wang, Meili, Ma, Lizhuang, Chang, Jian, Zhang, Jian Jun
Recent point cloud understanding research suffers from performance drops on unseen data, due to the distribution shifts across different domains. While recent studies use Domain Generalization (DG) techniques to mitigate this by learning domain-invar
Externí odkaz:
http://arxiv.org/abs/2407.08801
Recent works attempt to extend Graph Convolution Networks (GCNs) to point clouds for classification and segmentation tasks. These works tend to sample and group points to create smaller point sets locally and mainly focus on extracting local features
Externí odkaz:
http://arxiv.org/abs/2401.02610
Transformer-based Self-supervised Representation Learning methods learn generic features from unlabeled datasets for providing useful network initialization parameters for downstream tasks. Recently, self-supervised learning based upon masking local
Externí odkaz:
http://arxiv.org/abs/2207.01545
Existing position based point cloud filtering methods can hardly preserve sharp geometric features. In this paper, we rethink point cloud filtering from a non-learning non-local non-normal perspective, and propose a novel position based approach for
Externí odkaz:
http://arxiv.org/abs/2110.07253
Though a number of point cloud learning methods have been proposed to handle unordered points, most of them are supervised and require labels for training. By contrast, unsupervised learning of point cloud data has received much less attention to dat
Externí odkaz:
http://arxiv.org/abs/2110.06632
Publikováno v:
In Computer-Aided Design March 2022 144
Publikováno v:
Visual Computer; Aug2024, Vol. 40 Issue 8, p5169-5186, 18p
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Sunken relief is an art form whereby the depicted shapes are sunk into a given flat plane with a shallow overall depth. In this paper, we propose an efficient sunken relief generation algorithm based on a single image by the technique of feature line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::337a9d8bf8413f2723283a4c437e932d
https://eprints.bournemouth.ac.uk/30548/7/s11042-018-5826-7.pdf
https://eprints.bournemouth.ac.uk/30548/7/s11042-018-5826-7.pdf
Akademický článek
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