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pro vyhledávání: '"Chen, Zhiwen"'
Autor:
Yu, Hongyun, Qu, Zhan, Yu, Qihang, Chen, Jianchuan, Jiang, Zhonghua, Chen, Zhiwen, Zhang, Shengyu, Xu, Jimin, Wu, Fei, Lv, Chengfei, Yu, Gang
Recent works on audio-driven talking head synthesis using Neural Radiance Fields (NeRF) have achieved impressive results. However, due to inadequate pose and expression control caused by NeRF implicit representation, these methods still have some lim
Externí odkaz:
http://arxiv.org/abs/2404.14037
In this paper, we delve into the nuanced challenge of tailoring the Segment Anything Models (SAMs) for integration with event data, with the overarching objective of attaining robust and universal object segmentation within the event-centric domain.
Externí odkaz:
http://arxiv.org/abs/2312.16222
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 8, Pp 12-20 (2024)
Objective Most urban rail transit trains use PWM (pulse width modulation) variable frequency drive system, which often leads to bearing corrosion problems due to the excessive bearing voltage and bearing current during operation. Therefore, it is nec
Externí odkaz:
https://doaj.org/article/401252052115480b8a4d62bb0240819c
Autor:
Gariepy, Zachary, Chen, ZhiWen, Tamblyn, Isaac, Singh, Chandra Veer, Feugmo, Conrard Giresse Tetsassi
One of the most appealing aspects of machine learning for material design is its high throughput exploration of chemical spaces, but to reach the ceiling of ML-aided exploration, more than current model architectures and processing algorithms are req
Externí odkaz:
http://arxiv.org/abs/2306.04742
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 7, Pp 89-97 (2024)
At present, the combination of edge computing and machine vision has a good application prospect for coal mine safety monitoring. But the storage space and computing resources at the edge are limited, and high-precision complex visual models are diff
Externí odkaz:
https://doaj.org/article/73267469762249a39e7b9c107740a9d4
This paper is dedicated to control theoretically explainable application of autoencoders to optimal fault detection in nonlinear dynamic systems. Autoencoder-based learning is a standard machine learning method and widely applied for fault (anomaly)
Externí odkaz:
http://arxiv.org/abs/2208.01291
Skeleton extraction is a task focused on providing a simple representation of an object by extracting the skeleton from the given binary or RGB image. In recent years many attractive works in skeleton extraction have been made. But as far as we know,
Externí odkaz:
http://arxiv.org/abs/2205.12066
Autor:
Lin, Yayi, She, Zhenyue, Chen, Zhiwen, Li, Xianzhe, Zhang, Caixia, Liao, Kaiyu, Zhang, Xinding, Huang, Wei, Yan, Hui, Zhu, Shiliang
Realization of practical terahertz wireless communications still faces many challenges. The receiver with high sensitivity is important for THz wireless communications. Here we demonstrate a terahertz receiver based on the cesium Rydberg atoms in a r
Externí odkaz:
http://arxiv.org/abs/2205.11021
Thank you very much for the attention and concern of colleagues and scholars in this work. With the comments and guidance of experts, editors, and reviewers, this work has been accepted for publishing in the journal "Process Safety and Environmental
Externí odkaz:
http://arxiv.org/abs/2205.05250