Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Liu, Keyi"'
Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches face challenges such as limited data diversity and inadequate augmentat
Externí odkaz:
http://arxiv.org/abs/2409.04963
Autor:
Zhang, Rui, Luo, Tianyue, Yang, Weidong, Fei, Ben, Xu, Jingyi, Zhou, Qingyuan, Liu, Keyi, He, Ying
3D Gaussian Splatting (3D-GS) has made a notable advancement in the field of neural rendering, 3D scene reconstruction, and novel view synthesis. Nevertheless, 3D-GS encounters the main challenge when it comes to accurately representing physical refl
Externí odkaz:
http://arxiv.org/abs/2406.05852
Autor:
Zhou, Qingyuan, Yang, Weidong, Fei, Ben, Xu, Jingyi, Zhang, Rui, Liu, Keyi, Luo, Yeqi, He, Ying
Noise is an inevitable aspect of point cloud acquisition, necessitating filtering as a fundamental task within the realm of 3D vision. Existing learning-based filtering methods have shown promising capabilities on small-scale synthetic or real-world
Externí odkaz:
http://arxiv.org/abs/2404.05522
Nagaoka ferromagnetism (NF) is a long-predicted example of itinerant ferromagnetism (IF) in the Hubbard model that has been studied theoretically for many years. The condition for NF, an infinite onsite Coulomb repulsion and a single hole in a half-f
Externí odkaz:
http://arxiv.org/abs/2404.03889
We characterize the single-electron energies and the wavefunction structure of arrays with two, three, and four phosphorus atoms in silicon by implementing atomistic tight-binding calculations and analyzing wavefunction overlaps to identify the singl
Externí odkaz:
http://arxiv.org/abs/2402.19392
Human mobility demonstrates a high degree of regularity, which facilitates the discovery of lifestyle profiles. Existing research has yet to fully utilize the regularities embedded in high-order features extracted from human mobility records in such
Externí odkaz:
http://arxiv.org/abs/2312.00411
Autor:
Liu, Keyi
Side-channel attacks have become a realistic threat to the implementations of cryptographic algorithms. By analyzing the unintentional, side-channel leakage, the attacker is able to recover the secret of the target. Recently, a new type of side-chann
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304629
Autor:
Liu, Keyi1,2 (AUTHOR) liukeyi@caas.cn, Cui, Yunpeng1,2 (AUTHOR) cuiyunpeng@caas.cn
Publikováno v:
Information (2078-2489). Jul2024, Vol. 15 Issue 7, p367. 17p.
Publikováno v:
In Journal of Water Process Engineering November 2024 67
Autor:
Liu, Keyi, Wu, Pan, Ye, Yang, Jiang, Jiashu, Guo, Yuhao, Li, Yuejianshu, Yang, Xiong, Shi, Yafei, Owens, Gary, Pi, Kewu
Publikováno v:
In Journal of Environmental Chemical Engineering June 2024 12(3)