Open Access Paper
3 September 2024 Front Matter: Volume 13227
Proceedings Volume 13227, 2024 AI Photonics Technology Symposium; 132270B (2024) https://doi.org/10.1117/12.3049664
Event: 2024 AI Photonics Technology Symposium, 2024, Wuhan, China
Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 13227, including the Title Page, Copyright information, Table of Contents, and Conference Committee information.

The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. Additional papers and presentation recordings may be available online in the SPIE Digital Library at SPIEDigitalLibrary.org.

The papers reflect the work and thoughts of the authors and are published herein as submitted. The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.

Please use the following format to cite material from these proceedings:

Author(s), “Title of Paper,” in 2024 AI Photonics Technology Symposium, edited by Xiang Zhang, Proc. of SPIE 13227, Seven-digit Article CID Number (DD/MM/YYYY); (DOI URL).

ISSN: 0277-786X

ISSN: 1996-756X (electronic)

ISBN: 9781510681828

ISBN: 9781510681835 (electronic)

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Conference Committee

Conference Chairs

  • David Brady, The University of Arizona (United States)

  • Liangcai Cao, Tsinghua University (China)

  • Min Gu, University of Shanghai for Science and Technology (China)

  • Hongxing Xu, Wuhan University (China)

  • Shaohua Yu, Pengcheng Laboratory (China)

  • Xinliang Zhang, Huazhong University of Science and Technology (China) and Xi’an University of Electronic Science and Technology (China)

Program Committee

  • Xianfeng Chen, Shanghai Jiao Tong University (China)

  • Jianji Dong, Huazhong University of Science and Technology (China)

  • Fu Feng, Zhijiang Laboratory (China) and Zhejiang University (China)

  • Songnian Fu, Guangdong University of Technology (China)

  • Bo Gu, International Optical Society (China)

  • Tian Jiang, National University of Defense Technology (China)

  • Xing Lin, Tsinghua University (China)

  • Qinghai Song, Harbin Institute of Technology, Shenzhen (China)

  • Mingjie Sun, Beihang University (China)

  • Feihu Xu, University of Science and Technology of China (China)

  • Peng Xie, Shanghai Institute of Optics and Fine Mechanics (China)

  • Qionghua Wang, Beihang University (China)

  • Yihao Yang, Zhejiang University (China)

  • Lilin Yi, Shanghai Jiao Tong University (China)

  • Cheng Zhang, Huazhong University of Science and Technology (China)

  • Guoxing Zheng, Wuhan University (China)

  • Qiming Zhang, University of Shanghai for Science and Technology (China)

  • Xinxing Zhou, Hunan Normal University (China)

© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 13227", Proc. SPIE 13227, 2024 AI Photonics Technology Symposium, 132270B (3 September 2024); https://doi.org/10.1117/12.3049664
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KEYWORDS
Defense technologies

Artificial intelligence

Copyright

Photonics

Image restoration

Image segmentation

Printing

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