Zobrazeno 1 - 10
of 7 727
pro vyhledávání: '"PENG, Yong"'
Autor:
Chen, Xia, Zhang, Xi, He, Wenjie, Li, Yu, Lu, Jiating, Yang, Dinghua, Li, Deren, Lei, Li, Peng, Yong, Xiang, Gang
Van der Waals (vdW) layered ferromagnet Fe3GaTe2 shows great potential in two-dimensional spintronic application due to its robust room-temperature ferromagnetism and large perpendicular magnetic anisotropy. Despite the tremendous progress in the spi
Externí odkaz:
http://arxiv.org/abs/2411.16463
Autor:
Chen, Yifei, Zhu, Shenghao, Fang, Zhaojie, Liu, Chang, Zou, Binfeng, Wang, Yuhe, Chang, Shuo, Jia, Fan, Qin, Feiwei, Fan, Jin, Peng, Yong, Wang, Changmiao
Alzheimer's Disease (AD) is a complex neurodegenerative disorder marked by memory loss, executive dysfunction, and personality changes. Early diagnosis is challenging due to subtle symptoms and varied presentations, often leading to misdiagnosis with
Externí odkaz:
http://arxiv.org/abs/2408.16343
Autor:
Ming, Yuhang, Xu, Minyang, Yang, Xingrui, Ye, Weicai, Wang, Weihan, Peng, Yong, Dai, Weichen, Kong, Wanzeng
Visual place recognition (VPR) is an essential component of many autonomous and augmented/virtual reality systems. It enables the systems to robustly localize themselves in large-scale environments. Existing VPR methods demonstrate attractive perform
Externí odkaz:
http://arxiv.org/abs/2407.21416
\textbf{Background:} The initial observation of a negative-parity state in proximity to the ground state in the 1950s marked the advent of extensive research into octupole deformed nuclei. Since then, the physics of octupole deformed nuclei has consi
Externí odkaz:
http://arxiv.org/abs/2406.06846
Autor:
Xu, Wenhui, Ning, Shoucong, Sheng, Pengju, Lin, Huixiang, Kirkland, Angus I, Peng, Yong, Zhang, Fucai
Ptychography is now integrated as a tool in mainstream microscopy allowing quantitative and high-resolution imaging capabilities over a wide field of view. However, its ultimate performance is inevitably limited by the available coherent flux when im
Externí odkaz:
http://arxiv.org/abs/2406.06640
Autor:
Tan, Xin, Wu, Wenbin, Zhang, Zhiwei, Fan, Chaojie, Peng, Yong, Zhang, Zhizhong, Xie, Yuan, Ma, Lizhuang
3D occupancy perception holds a pivotal role in recent vision-centric autonomous driving systems by converting surround-view images into integrated geometric and semantic representations within dense 3D grids. Nevertheless, current models still encou
Externí odkaz:
http://arxiv.org/abs/2405.10591
Autor:
Liu, Shijie, Yan, Kang, Qin, Feiwei, Wang, Changmiao, Ge, Ruiquan, Zhang, Kai, Huang, Jie, Peng, Yong, Cao, Jin
Single image super-resolution (SR) is an established pixel-level vision task aimed at reconstructing a high-resolution image from its degraded low-resolution counterpart. Despite the notable advancements achieved by leveraging deep neural networks fo
Externí odkaz:
http://arxiv.org/abs/2405.10561
Implicit neural representations (INR) excel in encoding videos within neural networks, showcasing promise in computer vision tasks like video compression and denoising. INR-based approaches reconstruct video frames from content-agnostic embeddings, w
Externí odkaz:
http://arxiv.org/abs/2403.12401
Given the broad application of infrared technology across diverse fields, there is an increasing emphasis on investigating super-resolution techniques for infrared images within the realm of deep learning. Despite the impressive results of current Tr
Externí odkaz:
http://arxiv.org/abs/2401.11859
Autor:
Wu, Wansen, Yang, Weiyi, Li, Juanjuan, Zhao, Yong, Zhu, Zhengqiu, Chen, Bin, Qiu, Sihang, Peng, Yong, Wang, Fei-Yue
The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sensing capabilities. To address this issue, Crowdsensing Intelligence (C
Externí odkaz:
http://arxiv.org/abs/2401.03229