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pro vyhledávání: '"He Yulin"'
Full-reference image quality assessment (FR-IQA) models generally operate by measuring the visual differences between a degraded image and its reference. However, existing FR-IQA models including both the classical ones (eg, PSNR and SSIM) and deep-l
Externí odkaz:
http://arxiv.org/abs/2408.09920
Occupancy prediction plays a pivotal role in autonomous driving (AD) due to the fine-grained geometric perception and general object recognition capabilities. However, existing methods often incur high computational costs, which contradicts the real-
Externí odkaz:
http://arxiv.org/abs/2407.13155
Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects. Existing methods typically estimate the object likelihood with an additional objectness branc
Externí odkaz:
http://arxiv.org/abs/2306.02275
Pseudo-Labeling has emerged as a simple yet effective technique for semi-supervised object detection (SSOD). However, the inevitable noise problem in pseudo-labels significantly degrades the performance of SSOD methods. Recent advances effectively al
Externí odkaz:
http://arxiv.org/abs/2303.02998
Publikováno v:
Journal of Isotopes, Vol 38, Iss 2, Pp 195-201 (2024)
Concerted nucleophilic aromatic (CSNAr) substitution reactions play an important role in nuclear chemistry synthesis, and are now used to develop positron radiotracers. Compared with the traditional nucleophilic aromatic substitution reaction, the ad
Externí odkaz:
https://doaj.org/article/d2b04d5df6114848b9cde41fc14b40ed
Real-world sensors often produce incomplete, irregular, and noisy point clouds, making point cloud completion increasingly important. However, most existing completion methods rely on large paired datasets for training, which is labor-intensive. This
Externí odkaz:
http://arxiv.org/abs/2204.09186
Publikováno v:
In Wear 15 November 2024 556-557
Autor:
He, Yulin, Cui, Zhibo, Yang, Xuan, Wang, Chaohe, Cui, Kaijie, Fan, Zepeng, Lu, Guoyang, Lv, Songtao, Wang, Dawei
Publikováno v:
In Tribology International November 2024 199
Publikováno v:
In International Journal of Biological Macromolecules October 2024 277 Part 1
Autor:
Zhao, Wanxin1 (AUTHOR) 15509296551@163.com, He, Yulin1 (AUTHOR), Du, Ziyuan1 (AUTHOR), Yu, Xuanci1 (AUTHOR), Chen, Juan1 (AUTHOR), Li, Ang1 (AUTHOR), Huang, Caiyun1 (AUTHOR) hcaiyun@yeah.net
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 18, p10132. 10p.