Zobrazeno 1 - 10
of 1 970
pro vyhledávání: '"Zhong, Jia"'
Autor:
Zhong, Jia-Xin, de Castro, Pedro Fittipaldi, Lu, Tianhong, Kim, Jeewoo, Oudich, Mourad, Ji, Jun, Shi, Li, Chen, Kai, Lu, Jing, Jing, Yun, Benalcazar, Wladimir A.
The non-Hermitian skin effect (NHSE) is a distinctive topological phenomenon observed in nonHermitian systems. Recently, there has been considerable interest in exploring higher-order NHSE occurrences in two and three dimensions. In such systems, top
Externí odkaz:
http://arxiv.org/abs/2409.01516
Autor:
Li, Zhengang, Lu, Alec, Xie, Yanyue, Kong, Zhenglun, Sun, Mengshu, Tang, Hao, Xue, Zhong Jia, Dong, Peiyan, Ding, Caiwen, Wang, Yanzhi, Lin, Xue, Fang, Zhenman
Vision transformers (ViTs) have demonstrated their superior accuracy for computer vision tasks compared to convolutional neural networks (CNNs). However, ViT models are often computation-intensive for efficient deployment on resource-limited edge dev
Externí odkaz:
http://arxiv.org/abs/2407.18175
Parametric array loudspeakers (PALs) are known for producing highly directional audio beams, a feat more challenging to achieve with conventional electro-dynamic loudspeakers (EDLs). Due to their intrinsic physical mechanisms, PALs hold promising pot
Externí odkaz:
http://arxiv.org/abs/2407.10054
In this paper, we address a recent trend in robotic home appliances to include vision systems on personal devices, capable of personalizing the appliances on the fly. In particular, we formulate and address an important technical task of personal obj
Externí odkaz:
http://arxiv.org/abs/2407.07541
We present SPEAR, a continuous receiver-to-receiver acoustic neural warping field for spatial acoustic effects prediction in an acoustic 3D space with a single stationary audio source. Unlike traditional source-to-receiver modelling methods that requ
Externí odkaz:
http://arxiv.org/abs/2406.11006
Autor:
Zhou, Kaichen, Zhong, Jia-Xing, Shin, Sangyun, Lu, Kai, Yang, Yiyuan, Markham, Andrew, Trigoni, Niki
The introduction of neural radiance fields has greatly improved the effectiveness of view synthesis for monocular videos. However, existing algorithms face difficulties when dealing with uncontrolled or lengthy scenarios, and require extensive traini
Externí odkaz:
http://arxiv.org/abs/2310.18999
Autor:
Zhong, Jia-Xing, Cheng, Ta-Ying, He, Yuhang, Lu, Kai, Zhou, Kaichen, Markham, Andrew, Trigoni, Niki
A truly generalizable approach to rigid segmentation and motion estimation is fundamental to 3D understanding of articulated objects and moving scenes. In view of the closely intertwined relationship between segmentation and motion estimates, we pres
Externí odkaz:
http://arxiv.org/abs/2306.05584
Scene flow is a powerful tool for capturing the motion field of 3D point clouds. However, it is difficult to directly apply flow-based models to dynamic point cloud classification since the unstructured points make it hard or even impossible to effic
Externí odkaz:
http://arxiv.org/abs/2203.11113
Autor:
Bai, Xiao-Liang, Wen, Long, Zhang, Yong-Mei, Zhang, Xi-Hua, Wang, Jing, Chen, Yan-Gui, Peng, Si-Qiao, Wang, Wei, Zhong, Jia-Yi, Li, Ya, Gao, Ping
Publikováno v:
In Petroleum Science October 2024 21(5):2927-2945
Autor:
Lyu, Wei, Zhong, Jia-Qi, Zhang, Xiao-Wei, Liu, Wu, Zhu, Lei, Xu, Wei-Hao, Chen, Xi, Tang, Biao, Wang, Jin, Zhan, Ming-Sheng
We present a compact high-resolution gravity gradiometer based on dual Rb-85 atom interferometers using stimulated Raman transitions. A baseline L=44.5 cm and an interrogation time T=130 ms are realized in a sensor head with volume of less than 100 l
Externí odkaz:
http://arxiv.org/abs/2202.12021