Zobrazeno 1 - 10
of 639
pro vyhledávání: '"He, Xiaohai"'
With the advent of image super-resolution (SR) algorithms, how to evaluate the quality of generated SR images has become an urgent task. Although full-reference methods perform well in SR image quality assessment (SR-IQA), their reliance on high-reso
Externí odkaz:
http://arxiv.org/abs/2405.09472
Autor:
Guan, Wenbin, Yang, Zijiu, Wu, Xiaohong, Chen, Liqiong, Huang, Feng, He, Xiaohai, Chen, Honggang
Presently, the task of few-shot object detection (FSOD) in remote sensing images (RSIs) has become a focal point of attention. Numerous few-shot detectors, particularly those based on two-stage detectors, face challenges when dealing with the multisc
Externí odkaz:
http://arxiv.org/abs/2404.18426
Publikováno v:
The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023
Structural MRI and PET imaging play an important role in the diagnosis of Alzheimer's disease (AD), showing the morphological changes and glucose metabolism changes in the brain respectively. The manifestations in the brain image of some cognitive im
Externí odkaz:
http://arxiv.org/abs/2308.05655
In recent years, deep learning models have been applied to neuroimaging data for early diagnosis of Alzheimer's disease (AD). Structural magnetic resonance imaging (sMRI) and positron emission tomography (PET) images provide structural and functional
Externí odkaz:
http://arxiv.org/abs/2307.16366
The microstructure analyses of porous media have considerable research value for the study of macroscopic properties. As the premise of conducting these analyses, the accurate reconstruction of microstructure digital model is also an important compon
Externí odkaz:
http://arxiv.org/abs/2304.12513
Autor:
He, Xiaohai1,2 (AUTHOR) 3120235415@bit.edu.cn, Liang, Kaiwen1 (AUTHOR) liangkaiwen@bit.edu.cn, Zhang, Weimin1,2 (AUTHOR) wonk_2000@bit.edu.cn, Li, Fangxing1,2 (AUTHOR) jzian@bit.edu.cn, Jiang, Zhou1 (AUTHOR) 3120215092@bit.edu.cn, Zuo, Zhengqing1 (AUTHOR) 3220225052@bit.edu.cn, Tan, Xinyan1 (AUTHOR)
Publikováno v:
Remote Sensing. Sep2024, Vol. 16 Issue 18, p3516. 25p.
Digital modeling of the microstructure is important for studying the physical and transport properties of porous media. Multiscale modeling for porous media can accurately characterize macro-pores and micro-pores in a large-FoV (field of view) high-r
Externí odkaz:
http://arxiv.org/abs/2205.08278
Publikováno v:
In Neural Networks November 2024 179
Autor:
Deng, Wu, He, Xiaohai, Xu, Jia, Ding, Boyuan, Dai, Songcen, Wei, Chao, Pu, Hui, Wei, Yi, Ren, Xinpeng
Publikováno v:
In SLAS Technology October 2024 29(5)
Autor:
Tan, Xinyan, Xiong, Lingxuan, Zhang, Weimin, Zuo, Zhengqing, He, Xiaohai, Xu, Yi, Li, Fangxing
Publikováno v:
In Robotics and Autonomous Systems December 2024 182