Koki Madono, Masayuki Tanaka, Masaki Onishi, Tetsuji Ogawa, SIA-GAN: Scrambling Inversion Attack Using Generative Adversarial Network, IEEE Access, vol.9, pp.129385-129393, Sep. 2021. [paper][code]
Koki Madono, Edgar-Simo-Serra, Data-Driven Ink Painting Brushstroke Rendering, Pacific Graphics (Special issue of Computer Graphics Forum), Volume 42, Issue-7, Oct. 2023 (29.32% of acceptance rate) [paper] [video]
Koki Madono, Takeo Igarashi, Hiroharu Kato, Taisuke Hashimoto, Fabrice Matulic, Tsukasa Takagi, Keita Higuchi, Interactive Texture Segmentation of 3D Scanned Models Leveraging Multiview Automatic Segmentation, IEEE Computer Graphics and Application [paper]
Koki Madono, Takeo Igarashi, Hiroharu Kato, Taisuke Hashimoto, Fabrice Matulic, Tsukasa Takagi, Keita Higuchi, Interactive Texture Segmentation of 3D Scanned Models Leveraging Multiview Automatic Segmentation, CHI Late Breaking Work (CHI-EA) 2025 [paper]
Koki Madono, Masayuki Tanaka, Masaki Onishi, ScrambleMix: A Privacy-Preserving Image Processing for Edge-Cloud Machine Learning, PSIVT 2023 [paper][code]
Koki Madono, Yannick Hold-Geoffroy, Yijun Li, Daichi Ito, Jose Echevarria, Cameron Smith, Automatic Vector Caricature via Face Parametrization, Pacific Graphics 2023 (Conference Proceedings) [paper] [during the internship work, please ask code&data to co-authors since company own them],
Koki Madono, Masayuki Tanaka, Masaki Onishi, Instance-Wise Center Loss for Efficient Training of Deep Convolutional Neural Networks, IEEE Global Conference on Consumer Electronics (GCCE) Oct. 2022 oral [paper][code]
Koki Madono, Masayuki Tanaka, Masaki Onishi, Tetsuji Ogawa, Scrambling Parameter Generation to Improve Perceptual Information Hiding, Proc. IS&T Conference on Human Vision and Electronic Imaging (HVEI), pp. 155-1 - 155-8, Jan. 2021. [paper]
Koki Madono, Teppei Nakano, Tetsunori Kobayashi, and Tetsuji Ogawa, Efficient Human-In-The-Loop Object Detection using Bi-Directional Deep SORT and Annotation-Free Segment Identification, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp.1226-1233, Dec. 2020. oral [paper] [silde]
Koki Madono, Masayuki Tanaka, Masaki Onishi, Tetsuji Ogawa, Block-wise Scrambled Image Recognition Using Adaptation Network, AAAI-20 Workshop on Artificial Intelligence of Things, Feb. 2020. oral [paper][slide][code]
Koki Madono, Edgar SImo-Serra, Data-Driven Brushstroke Rendering for Real World Nuance Expression, Visual Computing (VC) Oct. 2022 (Long Oral)
真殿 航輝, 五十嵐 健夫, 加藤 大晴, 橋本 泰輔, Fabrice Matulic, 高木 士, 樋口 啓太, サブセグメント分割に基づく 3D スキャンモデルのインタラクティブセグメンテーション, WISS Dec. 2024 登壇発表 (Oral)
真殿航輝, 中野鐵兵, 小林哲則, 小川哲司,双方向時系列情報を利用した検出結果と正解情報付与 による効率的なアノテーション手法,画像の認識・理解シンポジウム (MIRU2019), PS2-5, pp.1-4, Aug. 2019. 6.
真殿航輝,田中正行,大西正輝, 小川哲司, 学習可能な暗号化画像への敵対的学習に基づく攻撃, 画像の認識・理解シンポジウム (MIRU2019), PS1-41, pp.1-4, Aug. 2019.
真殿航輝,田中正行,大西正輝, 識別問題における写像空間上での距離計量学習,画像の認識・理 解シンポジウム (MIRU2021), PS1-41, pp.1-4, Aug. 2019.
荒木 諒介, 早志 英朗, 原田 翔太, 真木 勇人, 黒木 武, 真殿 航輝, 平川 幸司, データマイニング 研究の最新動向: 時系列、テキストマイニング、異常検知, 画像の認識・理解シンポジウム (MIRU2018), 若手プログラム, Aug. 2018.
品川 政太朗,岩本蘭,高田 雅之,真殿航輝,三好遼, Retina-Like Visual Image Reconstruction via Spiking Neural Model (サーベイ発表), 画像の認識・理解シンポジウム (MIRU2020), 若手プログラム, オンライン,Aug. 2020.
Koki Madono, Yuan Mingcheng, Edgar Simo-Serra, Hint-AUC: Deterministic Region-based Hint Generation for Line Art Colorization Evaluation, Visual Computing (VC) Oct. 2024 (poster)