Zobrazeno 1 - 10
of 27 672
pro vyhledávání: '"Huiping An"'
Autor:
Yin-Shan Wang, Xue-Ting Su, Li Ke, Qing-Hua He, Da Chang, JingJing Nie, XinLi Luo, Fumei Chen, Jihong Xu, Cai Zhang, Shudong Zhang, Shuyue Zhang, Huiping An, Rui Guo, Suping Yue, Wen Duan, Shichao Jia, Sijia Yang, Yankun Yu, Yang Zhao, Yang Zhou, Li-Zhen Chen, Xue-Ru Fan, Peng Gao, Chenyu Lv, Ziyun Wu, Yunyan Zhao, Xi Quan, Feng Zhao, Yanchao Mu, Yu Yan, Wenchao Xu, Jie Liu, Lixia Xing, Xiaoqin Chen, Xiang Wu, Lanfeng Zhao, Zhijuan Huang, Yanzhou Ren, Hongyan Hao, Hui Li, Jing Wang, Qing Dong, Liyan Chen, Ruiwang Huang, Siman Liu, Yun Wang, Qi Dong, Xi-Nian Zuo
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-17 (2024)
Abstract Adverse perinatal factors can interfere with the normal development of the brain, potentially resulting in long-term effects on the comprehensive development of children. Presently, the understanding of cognitive and neurodevelopmental proce
Externí odkaz:
https://doaj.org/article/728ae3155b3d4dbbb9a88c15d90b056c
We introduce a novel Recursive Fusion model, dubbed ReFu, designed to integrate point clouds and meshes for exemplar-free 3D Class-Incremental Learning, where the model learns new 3D classes while retaining knowledge of previously learned ones. Unlik
Externí odkaz:
http://arxiv.org/abs/2409.12326
Terahertz (THz) communications will be pivotal in sixth-generation (6G) wireless networks, offering significantly wider bandwidths and higher data rates. However, the unique propagation characteristics of the THz frequency band, such as high path los
Externí odkaz:
http://arxiv.org/abs/2409.09713
Multiple object tracking (MOT) involves identifying multiple targets and assigning them corresponding IDs within a video sequence, where occlusions are often encountered. Recent methods address occlusions using appearance cues through online learning
Externí odkaz:
http://arxiv.org/abs/2409.07904
Sound Source Localization (SSL) enabling technology for applications such as surveillance and robotics. While traditional Signal Processing (SP)-based SSL methods provide analytic solutions under specific signal and noise assumptions, recent Deep Lea
Externí odkaz:
http://arxiv.org/abs/2409.07224
We investigate the ergodicity for the stochastic complex Ginzburg-Landau equation with a general non-linear term on the two-dimensional torus driven by a complex-valued space-time white noise. Due to the roughness of complex-valued space-time white n
Externí odkaz:
http://arxiv.org/abs/2408.11568
Continual learning enables AI models to learn new data sequentially without retraining in real-world scenarios. Most existing methods assume the training data are balanced, aiming to reduce the catastrophic forgetting problem that models tend to forg
Externí odkaz:
http://arxiv.org/abs/2408.10349
This paper studies the problem of multi-agent trajectory prediction in crowded unknown environments. A novel energy function optimization-based framework is proposed to generate prediction trajectories. Firstly, a new energy function is designed for
Externí odkaz:
http://arxiv.org/abs/2407.09068
For complex multiple Wiener-It\^{o} integral, we present Berry-Ess\'een upper and lower bounds in terms of moments and kernel contractions under the Wasserstein distance. As a corollary, we simplify the previously known contraction condition of the c
Externí odkaz:
http://arxiv.org/abs/2407.05353
Continual learning (CL) with Vision-Language Models (VLMs) has overcome the constraints of traditional CL, which only focuses on previously encountered classes. During the CL of VLMs, we need not only to prevent the catastrophic forgetting on increme
Externí odkaz:
http://arxiv.org/abs/2406.18868