Publication

 Journal  (refereed) 

• 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] (CCF-B)

 International Conference  (refereed) 

• 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]

Domestic Conference  (refereed) 

• Koki Madono, Edgar SImo-Serra, Data-Driven Brushstroke Rendering for Real World Nuance Expression, Visual Computing (VC) Oct. 2022 long oral
  
  
  

Domestic Conference (non refereed) & Talk

• 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.