Research Achievement (Zhu)

学術論文 - Journal

  1. Rui He, Zhenyang Zhu, Xiaoyang Mao, "Boosting lightweight single image super-resolution via global prior feature," Neural Networks, Vol.190, 2025-10. (To appear, IF:6.0(2023), Link, PDF, BibTeX)
  2. Zhenyang Zhu, Naohiko Ishikawa, Xiaoyang Mao, "A content-aware image editing method for perceptual size restoration based on seam carving," The Visual Computer, First Online, 2025-7. (To appear, IF:2.9(2024), Link, PDF, BibTeX)
  3. Haiqiang Zhou, Wangkang Huang, Zhenyang Zhu, Xiao-Diao Chen, Kentaro Go, Xiaoyang Mao, "Fast Image Recoloring for Red-Green Anomalous Trichromacy with Contrast Enhancement and Naturalness Preservation," The Visual Computer (CGI2024), Vol.40, pp.4647-4660, 2024-5. (IF:3.5(2022), Link, PDF, BibTeX)
  4. Ligeng Chen, Zhenyang Zhu, Wangkang Huang, Kentaro Go, Xiaodiao Chen, Xiaoyang Mao, "Image recoloring for color vision deficiency compensation using Swin transformer," Neural Computing and Applications, 2024-1. (IF:6.0(2022), Link, PDF, BibTeX)
  5. Wangkang Huang, Zhenyang Zhu, Ligeng Chen, Kentaro Go, Xiaodiao Chen, Xiaoyang Mao, "Image recoloring for Red-Green dichromats with compensation range-based naturalness preservation and refined dichromacy gamut," The Visual Computer, Vol.38, pp.3405-3418, 2022-9. (IF:2.835(2021), Link, PDF, BibTeX)
  6. Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Kenji Kashiwagi, Issei Fujishiro, Tien-Tsin Wong, Xiaoyang Mao, "Personalized Image Recoloring for Color Vision Deficiency Compensation," IEEE Transactions on Multimedia, Vol.24, pp.1721-1734, 2022-3. (IF:8.182(2021), Link, PDF(OpenAccess), BibTeX)
  7. Zhenyang Zhu, Xiaoyang Mao, "Image Recoloring for Color Vision Deficiency Compensation: A Survey," The Visual Computer, Vol.37, pp.2999-3018, 2021-7. (IF:2.835(2021), PDF(OpenAccess), Link, BibTeX)
  8. Xinyi Wang, Zhenyang Zhu, Xiaodiao Chen, Kentaro Go, Masahiro Toyoura, Xiaoyang Mao, "Fast Contrast and Naturalness Preserving Image Recolouring for Dichromats," Computers & Graphics, Vol.98, pp.19-28, 2021-5. (IF:1.821(2021), Link, BibTeX)
  9. Zhenyang Zhu, Masahiro Toyoura, Issei Fujishiro, Kentaro Go, Kenji Kashiwagi, Xiaoyang Mao, "LineM: Assessing Metamorphopsia Symptom Using Line Manipulation Task," The Visual Computer, Vol.38, pp.1607-1617, 2021-2. (IF:2.835(2021), Link, PDF, BibTeX)
  10. Ying Tang, Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Kenji Kashiwagi, Issei Fujishiro, Xiaoyang Mao, "ALCC-Glasses: Arriving Light Chroma Controllable Optical See-Through Head-Mounted Display System for Color Vision Deficiency Compensation," Applied Sciences, Vol.10, No.7, Article 2381, 2020-4. (IF:2.838(2021), PDF(OpenAccess), BibTeX)
  11. Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Issei Fujishiro, Kenji Kashiwagi, Xiaoyang Mao, "Naturalness- and Information-Preserving Image Recoloring for Red-Green Dichromats," Signal Processing: Image Communication, Vol.76, pp.68-80, 2019-8. (IF:3.453(2021), Link, PDF (Open Access), BibTeX)
  12. Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Issei Fujishiro, Kenji Kashiwagi, Xiaoyang Mao, "Processing images for red-green dichromats compensation via naturalness- and information- preservation considered recoloring," The Visual Computer, Vol.35, No.6-8, pp.1053-1066, 2019-6. (IF:2.835(2021), Link, PDF (Open access), BibTeX)

招待講演 - Invited Talk

  1. 朱 臻陽，豊浦 正広，郷 健太郎，柏木 賢治，藤代 一成，黄 田津，茅 暁陽，“Personalized Image Recoloring for Color Vision Deficiency Compensation”，Visual Computing 2021，2021-9． (BibTeX)

国際会議 (査読有) - Refereed International Conference

  1. Ligeng Chen, Zhenyang Zhu, Xiaodiao Chen, Kentaro Go, Xiaoyang Mao, "Personalized Image Preference Assessment for Individuals with Color Vision Deficiency," NICOGRAPH International 2025, pp.52-58, 2025-6. (Honorable Mention Award, BibTeX)
  2. Haiqiang Zhou, Zhenyang Zhu, Xiao-Diao Chen, Kentaro Go, Xiaoyang Mao, "A Color Measurement Calibration Method for Color Vision Deficiency Degree," NICOGRAPH International 2025, pp.65-71, 2025-6. (BibTeX)
  3. Asif Mohammed Arfi, Masahiro Toyoura, Kenji Kashiwagi, Satoshi Nishiguchi, Kentaro Go, Zhenyang Zhu, Xiaoyang Mao, "A Semi-automatic Quality Assessment System for Capturing High-quality Fundus Image," 2024 International Conference on Cyberworlds (CW), pp.315-322, 2024-10. (BibTeX)
  4. Naohiko Ishikawa, Zhenyang Zhu, Jong-nam Kim, Xiaoyang Mao, "Seam Carving-Based Image Partial Enlargement Method for Perceptual Impression Reflection," 2024 International Conference on Cyberworlds (CW), pp.203-210, 2024-10. (BibTeX)
  5. Haiqiang Zhou, Wangkang Huang, Zhenyang Zhu, Xiao-Diao Chen, Kentaro Go, Xiaoyang Mao, "Perceptual Uniformity-Aware Image Recoloring Method for Red-Green Anomalous Trichromacy," NICOGRAPH International 2024, pp.41-48, 2024-6. (Link, BibTeX)
  6. Chao Ge, Zhenyang Zhu, Kenji Kashiwagi, Masahiro Toyoura, Kentaro Go, Issei Fujishiro, Xiaoyang Mao, "STMA: A Fast Visual Field Defect Assessment Method Using Quadtree and Head-Mounted Display," NICOGRAPH International 2024, pp.1-8, 2024-6. (Link, BibTeX)
  7. Ying Tang, Zhenyang Zhu, Xiaoyang Mao, "A Study on Impact of Displaying Depth on User Recognition to Virtual Information," NICOGRAPH International 2024, pp.9-13, 2024-6. (Link, BibTeX)
  8. Zhenyang Zhu, Katsuhito Moritake, Kenji Kashiwagi, Masahiro Toyoura, Kentaro Go, Issei Fujishiro, Xiaoyang Mao, "Metamorphopsia Insepction System based on Relevance Feedback," International Conference on System, Man and Cybernetics 2023, pp.4667-4674, 2023-10. (Link, BibTeX)
  9. Naohiko Ishikawa, Zhenyang Zhu, Jong-Nam Kim, Wan-Young Chung, Kentaro Go, Xiaoyang Mao, "Seamless Image Editing for Perceptual Size Restoration Based on Seam Carving," Advances in Computer Graphics (CGI2023), pp.322-334, 2023-8. (Link, BibTeX)
  10. Shota Chiba, Zhenyang Zhu, Daisuke Inoue, Xiaoyang Mao, "Deep Learning and Augmented-Reality Glasses based Meat Cooking Support for Color Vision Disorder Compensation," NICOGRAPH International 2023, pp.62-67, 2023-6. (Honorable Mention Award, Link, BibTeX)
  11. Zhenyang Zhu, Jiyi Li, Ying Tang, Kentaro Go, Masahiro Toyoura, Kenji Kashiwagi, Issei Fujishiro, Xiaoyang Mao, "CC-Glasses: Color Communication Support for People with Color Vision Deficiency Using Augmented Reality and Deep Learning," Augmented Humans (AHs), pp.190-199, 2023-3. (Link, PDF, BibTeX)
  12. Chao Ge, Zhenyang Zhu, Keisuke Ichinose, Issei Fujishiro, Kentaro Go, Kenji Kashiwagi, Masahiro Toyoura, Xiaoyang Mao, "A Study on Contextual Task Performance of Simulated Homonymous Hemianopia Patients with Computational Glasses-based Compensation," ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI), Article 34, 2022-12. (Link, PDF, BibTeX)
  13. Katsuhito Moritake, Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Kenji Kashiwagi, Issei Fujishiro, Xiaoyang Mao, "Eye-Tracker-Free Compensation for Metamorphopsia," Cyberworlds, pp.78-84, 2021-9. (Link, BibTeX)
  14. Zhenyang Zhu, "Individual Adaptive Recoloring Method for Color Vision Deficiency Compensation," Eurographics 2021 Doctoral Consortium, 2021-5. (BibTeX)
  15. Xinyi Wang, Zhenyang Zhu, Xiaodiao Chen, Masahiro Toyoura, Xiaoyang Mao, "Evaluation of Color Vision Compensation Algorithms for People with Varying Degree of Color Vision Deficiency," Cyberworlds, pp.149-152, 2020-9. (Link, BibTeX)
  16. Ying Tang, Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Kenji Kashiwagi, Issei Fujishiro, Xiaoyang Mao, "Arriving Light Control for Color Vision Deficiency Compensation Using Optical See-Through Head-Mounted Display," ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI), pp.1-6, Article 6, 2018-12. (PDF, ACM DL, BibTeX)

国際会議 (査読無) - Not-refereed International Conference

  1. Naohiko Ishikawa, Zhenyang Zhu, Xiaoyang Mao, "Image contents considered thing of interest enlarging method for perceptual size restoration," NICOGRAPH International 2023, Article P20, 2023-6. (Link, BibTeX)

国内研究会 (査読有) - Refereed Domestic Symposium

  1. Haiqiang Zhou，Wangkang Huang，Zhenyang Zhu，Xiaodiao Chen，Xiaoyang Mao，“Fast Image Recoloring for Anomalous Trichromacy with Contrast Enhancement and Naturalness Preservation”，Visual Computing シンポジウム，Article 10，2023-9． (Link, BibTeX)
  2. 石川 直彦，朱 臻陽，茅 暁陽，“知覚サイズを反映した写真生成のための画像自動部分拡大方法”，Visual Computing シンポジウム，Article 42，2022-10． (Link, BibTeX)
  3. 陳 立庚，朱 臻陽，郷 健太郎，黄 望康，茅 暁陽，“Swin Transformerを利用した色覚障がい支援用色変換手法”，Visual Computing シンポジウム，Article 41，2022-10． (Link, BibTeX)
  4. Zhenyang Zhu，Xinyi Wang，Xiaodiao Chen，Masahiro Toyoura，Xiaoyang Mao，“最適化を利用した二色覚補償のための高速色変換技術”，Visual Computing シンポジウム，Article 20，2020-12． (Link, BibTeX)
  5. 朱 臻陽，豊浦 正広，郷 健太郎，柏木 賢治，藤代 一成，茅 暁陽，“色覚障がい支援のための個人適応型色変換アルゴリズム”，Visual Computing シンポジウム，Article 7，2019-6． (Link, BibTeX)
  6. 朱 臻陽，豊浦 正広，郷 健太郎，柏木 賢治，藤代 一成，茅 暁陽，“自然さ保存とコントラスト強調を考慮した色覚補償のための色変換アルゴリズム”，Visual Computing シンポジウム，Article 34，2018-6． (Link, BibTeX)

国内研究会 (査読無)，その他 - Not-refereed Domestic Symposium and Others

  1. 陳 立庚，朱 臻陽，茅 暁陽，“A Personalized Generative Model for Color Vision Deficiency”，画像電子学会ビジュアルコンピューティングワークショップ，Article 4，2023-12． (Link, BibTeX)
  2. 小林 剛豊，朱 臻陽，茅 暁陽，“GANを用いたスタイル制御可能な鉛筆画風画像生成手法”，画像電子学会ビジュアルコンピューティングワークショップ，Article 7，2022-11． (Link, BibTeX)
  3. 森竹 活仁，朱 臻陽，茅 暁陽，“Relevance feedbackを用いた変視症の検査”，情報処理学会第84回全国大会，Article 6ZG-06，2022-3． (Link, BibTeX)
  4. 日本経済新聞，“その色は 味わいは 本物か 技術で五感を操る 仮想現実が拓く世界（4）”，（全国版朝刊，2019年5月29日011面，Web版にも掲載有），2019-5． (Link, BibTeX)
  5. 朱 臻陽，豊浦 正広，郷 健太郎，藤代 一成，柏木 賢治，茅 暁陽，“色覚障がい支援のための個人適応型色変換アルゴリズム”，画像電子学会研究会，Article 7，2018-8． (BibTeX)
  6. 朱 臻陽，豊浦 正広，茅 暁陽，柏木 賢治，郷 健太郎，藤代 一成，“画像処理による色覚障がい支援”，画像電子学会ビジュアルコンピューティングワークショップ，Article 11，2017-12． (BibTeX)

特許 - Patent

  1. 茅 暁陽，王 欣怡，朱 臻陽，豊浦 正広，“画像処理方法、画像処理プログラム、及び表示装置”，特願2020-117905，2020-7． (BibTeX)
  2. 茅 暁陽，朱 臻陽，豊浦 正広，柏木 賢治，“画像処理方法、画像処理プログラム、及び表示装置”，特願2018-025389，特開2019-145876，2018-2． (BibTeX)