Zobrazeno 1 - 10
of 2 270
pro vyhledávání: '"Wang, JunYi"'
Autor:
Wang, Jin, Guo, Bocheng, Li, Yijie, Wang, Junyi, Chen, Yuqian, Rushmore, Jarrett, Makris, Nikos, Rathi, Yogesh, O'Donnell, Lauren J, Zhang, Fan
Tractography fiber clustering using diffusion MRI (dMRI) is a crucial strategy for white matter (WM) parcellation. Current methods primarily use the geometric information of fibers (i.e., the spatial trajectories) to group similar fibers into cluster
Externí odkaz:
http://arxiv.org/abs/2411.01859
This paper introduces a novel continual learning framework for synthesising novel views of multiple scenes, learning multiple 3D scenes incrementally, and updating the network parameters only with the training data of the upcoming new scene. We build
Externí odkaz:
http://arxiv.org/abs/2409.04482
3D Gaussian splatting (3DGS) has recently demonstrated promising advancements in RGB-D online dense mapping. Nevertheless, existing methods excessively rely on per-pixel depth cues to perform map densification, which leads to significant redundancy a
Externí odkaz:
http://arxiv.org/abs/2408.17223
Novel View Synthesis (NVS) from unconstrained photo collections is challenging in computer graphics. Recently, 3D Gaussian Splatting (3DGS) has shown promise for photorealistic and real-time NVS of static scenes. Building on 3DGS, we propose an effic
Externí odkaz:
http://arxiv.org/abs/2406.02407
Autor:
ZHANG Qinjie, HUANG Sui, TAN Haoyue, ZHOU Xiang, WANG Junyi, LIU Yuzi, WEN Wen, GUO Jia, WU Hao, JIA Huan
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 44, Iss 10, Pp 1279-1286 (2024)
Objective·To develope an auditory brainstem implant (ABI) vocoder based on cochlear implant (CI) vocoder characteristics and ABI electrode array topology, and to verify its reliability.Methods·An "n-of-m" coding strategy CI/ABI vocoder was construc
Externí odkaz:
https://doaj.org/article/76ec23947d5f43cdac34f724e59c709a
Publikováno v:
IEEE Internet of Things Journal, 2023: 1-12
For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deployed with multi-type tasks. Specifically, we consider that the MEC netw
Externí odkaz:
http://arxiv.org/abs/2308.12756
Evolutionary reinforcement learning (ERL) algorithms recently raise attention in tackling complex reinforcement learning (RL) problems due to high parallelism, while they are prone to insufficient exploration or model collapse without carefully tunin
Externí odkaz:
http://arxiv.org/abs/2308.01207
Autor:
Lao, Baoqiang, Jaiswal, Sumit, Zhao, Zhen, Lin, Leping, Wang, Junyi, Sun, Xiaohui, Qin, Shengli
Publikováno v:
2023, Astronomy and Computing Volume 44, Pages 100728
Modern large radio continuum surveys have high sensitivity and resolution, and can resolve previously undetected extended and diffuse emissions, which brings great challenges for the detection and morphological classification of extended sources. We
Externí odkaz:
http://arxiv.org/abs/2306.01426
Recently, the significant achievements have been made in skeleton-based human action recognition with the emergence of graph convolutional networks (GCNs). However, the state-of-the-art (SOTA) models used for this task focus on constructing more comp
Externí odkaz:
http://arxiv.org/abs/2305.18710