Zobrazeno 1 - 10
of 103 016
pro vyhledávání: '"Li Xin"'
Autor:
Tang, Chenyu, Zhang, Ruizhi, Gao, Shuo, Zhao, Zihe, Zhang, Zibo, Wang, Jiaqi, Li, Cong, Chen, Junliang, Dai, Yanning, Wang, Shengbo, Juan, Ruoyu, Li, Qiaoying, Xie, Ruimou, Chen, Xuhang, Zhou, Xinkai, Xia, Yunjia, Chen, Jianan, Lu, Fanghao, Li, Xin, Wang, Ninglli, Smielewski, Peter, Pan, Yu, Zhao, Hubin, Occhipinti, Luigi G.
At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Additionally, the absence of comprehensive solutions addressing diverse rehabilitation needs
Externí odkaz:
http://arxiv.org/abs/2411.19000
Autor:
Feng, Pei-Yi, An, Zheng-Hua, Li, Yu-Hui, Le, Qi, Zhang, Da-Li, Li, Xin-Qiao, Xiong, Shao-Lin, Liu, Cong-Zhan, Liu, Wei-Bin, Wang, Jian-Li, Deng, Bing-Lin, Xu, He, Lu, Hong
The Gamma-Ray Transient Monitor (GTM) is an all-sky monitor onboard the Distant Retrograde Orbit-A (DRO-A) satellite, with the scientific objective of detecting gamma-ray bursts in the energy range of 20 keV to 1 MeV. The GTM is equipped with five Ga
Externí odkaz:
http://arxiv.org/abs/2411.18988
Autor:
Xu, Rui, Chen, Wenyue, Wang, Jiepeng, Liu, Yuan, Wang, Peng, Gao, Lin, Xin, Shiqing, Komura, Taku, Li, Xin, Wang, Wenping
Gaussian Splattings demonstrate impressive results in multi-view reconstruction based on Gaussian explicit representations. However, the current Gaussian primitives only have a single view-dependent color and an opacity to represent the appearance an
Externí odkaz:
http://arxiv.org/abs/2411.18966
Autor:
Wang, Jiepeng, Liu, Yuan, Wang, Peng, Lin, Cheng, Hou, Junhui, Li, Xin, Komura, Taku, Wang, Wenping
3D Gaussian Splatting has achieved impressive performance in novel view synthesis with real-time rendering capabilities. However, reconstructing high-quality surfaces with fine details using 3D Gaussians remains a challenging task. In this work, we i
Externí odkaz:
http://arxiv.org/abs/2411.19454
In recent years, simultaneous learning of multiple dense prediction tasks with partially annotated label data has emerged as an important research area. Previous works primarily focus on constructing cross-task consistency or conducting adversarial t
Externí odkaz:
http://arxiv.org/abs/2411.18823
Due to the lack of experimental data on extremely neutron-rich nuclei, theoretical values derived from nuclear physics models are essential for the rapid neutron capture process ($r$-process). Metal-poor stars enriched by the $r$-process offer valuab
Externí odkaz:
http://arxiv.org/abs/2411.17076
Vision-Brain Understanding (VBU) aims to extract visual information perceived by humans from brain activity recorded through functional Magnetic Resonance Imaging (fMRI). Despite notable advancements in recent years, existing studies in VBU continue
Externí odkaz:
http://arxiv.org/abs/2411.17475
Large language models (LLMs) have demonstrated their effectiveness in multivariate time series classification (MTSC). Effective adaptation of LLMs for MTSC necessitates informative data representations. Existing LLM-based methods directly encode embe
Externí odkaz:
http://arxiv.org/abs/2411.15737
We construct a soliton train configuration with holographic superfluid model under AdS soliton background. We investigate the stability of a soliton train using Bloch waves under two distinct quantization schemes. Upon imposing a minor perturbation o
Externí odkaz:
http://arxiv.org/abs/2411.13007
Autor:
Huang, Xun, Wang, Jinlong, Xia, Qiming, Chen, Siheng, Yang, Bisheng, Li, Xin, Wang, Cheng, Wen, Chenglu
Current Vehicle-to-Everything (V2X) systems have significantly enhanced 3D object detection using LiDAR and camera data. However, these methods suffer from performance degradation in adverse weather conditions. The weatherrobust 4D radar provides Dop
Externí odkaz:
http://arxiv.org/abs/2411.08402