Zobrazeno 1 - 10
of 1 146
pro vyhledávání: '"Qiu Haibo"'
We explore the hysteretic dynamics of spinor Bose-Einstein condensates of ultracold atoms loaded in static 2D ring geometries and subjected to varying synthetic magnetic fields. Electrically neutral, pseudo-spin-$1/2$ condensates are probed by one-co
Externí odkaz:
http://arxiv.org/abs/2408.04161
Cluster synchronization in synthetic networks of coupled chaotic oscillators is investigated. It is found that despite the asymmetric nature of the network structure, a subset of the oscillators can be synchronized as a cluster while the other oscill
Externí odkaz:
http://arxiv.org/abs/2405.08844
Significant progress has been made recently in point cloud segmentation utilizing an encoder-decoder framework, which initially encodes point clouds into low-resolution representations and subsequently decodes high-resolution predictions. Inspired by
Externí odkaz:
http://arxiv.org/abs/2310.07743
We show how the chiral properties of Bose Einstein condensates subject to current-density interactions and loaded in optical lattices can be observed in the realization of nonlinear Bloch states, whose spectrum lacks the usual periodic structure. Chi
Externí odkaz:
http://arxiv.org/abs/2306.10636
Remarkable advancements have been made recently in point cloud analysis through the exploration of transformer architecture, but it remains challenging to effectively learn local and global structures within point clouds. In this paper, we propose a
Externí odkaz:
http://arxiv.org/abs/2306.01257
We study general collisions between chiral solitons in Bose-Einstein condensates subject to combined attractive and current-dependent interatomic interactions. A simple analysis based on the linear superposition of the solitons allows us to determine
Externí odkaz:
http://arxiv.org/abs/2208.09972
Point cloud semantic segmentation from projected views, such as range-view (RV) and bird's-eye-view (BEV), has been intensively investigated. Different views capture different information of point clouds and thus are complementary to each other. Howe
Externí odkaz:
http://arxiv.org/abs/2207.02605
Autor:
Wu, Zhijie a, 1, ⁎, Wang, Hongxia a, 1, Zhao, Xueqing a, Gong, Chao a, Sidnam, Sarah b, Cantero-Tubilla, Borja b, Nedjic-Dugic, Bojana c, Li, Meinuo a, Wu, Jikang a, Su, Yue a, Huang, Yu a, Qiu, Haibo a, ⁎, Li, Ning a
Publikováno v:
In Journal of Pharmaceutical Sciences August 2024 113(8):2170-2177
With the recent advancement of deep convolutional neural networks, significant progress has been made in general face recognition. However, the state-of-the-art general face recognition models do not generalize well to occluded face images, which are
Externí odkaz:
http://arxiv.org/abs/2108.09468
With the recent success of deep neural networks, remarkable progress has been achieved on face recognition. However, collecting large-scale real-world training data for face recognition has turned out to be challenging, especially due to the label no
Externí odkaz:
http://arxiv.org/abs/2108.07960