High-speed phase transition imaging using spike streams

Bo Xiong; Ruliang Wang; You Zhou; Xuyang Sun; Yaxiong Yang; Changqing Su

High-speed phase transition imaging using spike streams

Bo Xiong
, Ruliang Wang
, You Zhou
, Xuyang Sun
, Yaxiong Yang
, Changqing Su^*

^*此作品的通讯作者

Peking University
Tsinghua University
Nanjing University

科研成果: 会议稿件 › 论文 › 同行评审

1 引用（Scopus）

摘要

Phase transition process occurs rapidly and at unpredictable time, posing challenges for traditional cameras to capture the entire process at high speed. Here, we present a self-supervised learning enhanced high-speed phase transition imaging method based on spike streams.

源语言	英语
出版状态	已出版 - 2024
活动	3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress - Toulouse, 法国期限: 15 7月 2024 → 19 7月 2024

会议

会议	3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress
国家/地区	法国
市	Toulouse
时期	15/07/24 → 19/07/24

其它文件与链接

链接到 Scopus 的出版物

引用此

@conference{c85ac1f1b7a84d4a96afce8821b8ed29,

title = "High-speed phase transition imaging using spike streams",

abstract = "Phase transition process occurs rapidly and at unpredictable time, posing challenges for traditional cameras to capture the entire process at high speed. Here, we present a self-supervised learning enhanced high-speed phase transition imaging method based on spike streams.",

author = "Bo Xiong and Ruliang Wang and You Zhou and Xuyang Sun and Yaxiong Yang and Changqing Su",

note = "Publisher Copyright: {\textcopyright} 2024 The Author(s).; 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress ; Conference date: 15-07-2024 Through 19-07-2024",

year = "2024",

language = "英语",

}

TY - CONF

T1 - High-speed phase transition imaging using spike streams

AU - Xiong, Bo

AU - Wang, Ruliang

AU - Zhou, You

AU - Sun, Xuyang

AU - Yang, Yaxiong

AU - Su, Changqing

PY - 2024

Y1 - 2024

N2 - Phase transition process occurs rapidly and at unpredictable time, posing challenges for traditional cameras to capture the entire process at high speed. Here, we present a self-supervised learning enhanced high-speed phase transition imaging method based on spike streams.

AB - Phase transition process occurs rapidly and at unpredictable time, posing challenges for traditional cameras to capture the entire process at high speed. Here, we present a self-supervised learning enhanced high-speed phase transition imaging method based on spike streams.

UR - https://www.scopus.com/pages/publications/85204920904

M3 - 论文

AN - SCOPUS:85204920904

T2 - 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress

Y2 - 15 July 2024 through 19 July 2024

ER -

High-speed phase transition imaging using spike streams

摘要

会议

其它文件与链接

指纹

引用此