Zobrazeno 1 - 10
of 865
pro vyhledávání: '"Hou Fei"'
Autor:
Liu Chao, Wang Yun, Dao Yuyang, Wang Shuting, Hou Fei, Yang Zhixian, Liu Pengjie, Lv Juan, Lv Ling, Li Gaofeng, Zhou Youjun, Deng Zhiyong
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 99-112 (2021)
Centromere protein M (CENPM) is essential for chromosome separation during mitosis. However, its roles in lung adenocarcinoma (LUAD) progression and metastasis remain unknown. In this study, we aimed to explore the effects of CENPM on LUAD progressio
Externí odkaz:
https://doaj.org/article/871074bf7cc44f6b9afd78c024c3ded2
For 3-D quadratically quasilinear wave equations with or without null conditions in exterior domains, when the compatible initial data and Dirichlet boundary values are given, the global existence or the optimal existence time of small data smooth so
Externí odkaz:
http://arxiv.org/abs/2411.06984
Autor:
Zhang, Haoran, Deng, Junkai, Chen, Xuhui, Hou, Fei, Wang, Wencheng, Qin, Hong, Qian, Chen, He, Ying
Publikováno v:
NeurIPS 2024
Traditional 3D shape reconstruction techniques from multi-view images, such as structure from motion and multi-view stereo, primarily focus on opaque surfaces. Similarly, recent advances in neural radiance fields and its variants also primarily addre
Externí odkaz:
http://arxiv.org/abs/2411.05362
Autor:
Kong, Jiayi, Zong, Chen, Luo, Jun, Xin, Shiqing, Hou, Fei, Jiang, Hanqing, Qian, Chen, He, Ying
The medial axis, a lower-dimensional shape descriptor, plays an important role in the field of digital geometry processing. Despite its importance, robust computation of the medial axis transform from diverse inputs, especially point clouds with defe
Externí odkaz:
http://arxiv.org/abs/2410.17774
Unsigned distance fields (UDFs) allow for the representation of models with complex topologies, but extracting accurate zero level sets from these fields poses significant challenges, particularly in preserving topological accuracy and capturing fine
Externí odkaz:
http://arxiv.org/abs/2408.17284
Numerical solvers of Partial Differential Equations (PDEs) are of fundamental significance to science and engineering. To date, the historical reliance on legacy techniques has circumscribed possible integration of big data knowledge and exhibits sub
Externí odkaz:
http://arxiv.org/abs/2408.04846
Autor:
Hu, Jiangbei, Li, Yanggeng, Hou, Fei, Hou, Junhui, Zhang, Zhebin, Wang, Shengfa, Lei, Na, He, Ying
Unsigned distance fields (UDFs) provide a versatile framework for representing a diverse array of 3D shapes, encompassing both watertight and non-watertight geometries. Traditional UDF learning methods typically require extensive training on large da
Externí odkaz:
http://arxiv.org/abs/2407.01330
The 3D Gaussian Splatting technique has significantly advanced the construction of radiance fields from multi-view images, enabling real-time rendering. While point-based rasterization effectively reduces computational demands for rendering, it often
Externí odkaz:
http://arxiv.org/abs/2406.18199
While Signed Distance Fields (SDF) are well-established for modeling watertight surfaces, Unsigned Distance Fields (UDF) broaden the scope to include open surfaces and models with complex inner structures. Despite their flexibility, UDFs encounter si
Externí odkaz:
http://arxiv.org/abs/2406.00346
Autor:
Liu, Weizhou, Li, Jiaze, Chen, Xuhui, Hou, Fei, Xin, Shiqing, Wang, Xingce, Wu, Zhongke, Qian, Chen, He, Ying
This paper presents a new method, Diffusing Winding Gradients (DWG), for reconstructing watertight 3D surfaces from unoriented point clouds. Our method exploits the alignment between the gradients of the generalized winding number (GWN) field and glo
Externí odkaz:
http://arxiv.org/abs/2405.13839