Rchr
J-GLOBAL ID:201901004148618896   Update date: Sep. 03, 2024

Nakamura Kazuaki

ナカムラ カズアキ | Nakamura Kazuaki
Affiliation and department:
Job title: Associate Professor
Research field  (3): Intelligent informatics ,  Information security ,  Perceptual information processing
Research keywords  (5): attacks on AI and their defense ,  artificial intelligence ,  machine learning ,  image generation ,  image recognition
Research theme for competitive and other funds  (6):
  • 2017 - 2021 Development of Client-Server-Based Framework for Privacy-Preserving Media Recognition
  • 2014 - 2017 Visual Concept Modeling of Verbs Based on a Large Scale Set of Tagged Videos Provided by Folksonomy
  • 2012 - 2016 Understanding Human Activity in Kitchen via Food, Tool, and Action Recognition
  • 2012 - 2016 Creation of profit harmonized with disclosure of privacy information
  • 2012 - 2014 Development of a Cooking Support System for Measuring, Storing, Retrieving and Recommending Consumption Data of Seasonings
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Papers (166):
  • Yudai Hirata, Yota Yamamoto, Kazuaki Nakamura, Yukinobu Taniguchi. An Efficient Annotation Interface for Dairy Cow Identification. Proceedings of the 30th International Workshop on Frontiers of Computer Vision. 2024
  • Shunpei Aou, Yota Yamamoto, Kazuaki Nakamura, Yukinobu Taniguchi. Multi-Camera Tracking of Dairy Cows Using Rotated Bounding Boxes. Proceedings of International Workshop on Advanced Image Technology. 2024
  • Yuki Hirose, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi. An Experimental Consideration on Gait Spoofing. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2023
  • Yuki Hirose, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi. Anonymization of Human Gait in Video Based on Silhouette Deformation and Texture Transfer. IEEE Transactions on Information Forensics and Security. 2022. 17. 3375-3390
  • 奥田悠太, 山本洋太, 中村和晃, 谷口行信. 疑似マウンティング画像生成による乳牛の発情兆候検知. 第50回画像電子学会年次大会予稿集. 2022
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MISC (5):
  • Hikaru Mori, Kazuaki Nakamura. Model Inversion Attacks Based on Incremental Model Extraction against a Single-Label Image Classifier. 2024
  • Koshiro Orikasa, Kazuaki Nakamura. Detoxification of Image Recognition Model Suffered From Clean Label Poisoning Attacks. 2024
  • Yuta Kotsuji, Kazuaki Nakamura. Performance Reduction of Model Inversion Attacks Using a Dummy Recognizer. 2024
  • Saya Iwaki, Kazuaki Nakamura. Improving Implicit Bias Contained in Unlabeled Dataset Using GAN. 2024
  • Ryuya Okabe, Kazuaki Nakamura. Anomaly Detection in Tennis Serve Motions using LSTM-RNN. 2024
Books (1):
  • 新しい信号処理の教科書 : 信号処理の基本から深層学習・グラフ信号処理まで
    オーム社 2021 ISBN:9784274227806
Education (3):
  • 2007 - 2010 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology
  • 2005 - 2007 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology
  • 2001 - 2005 Kyoto University Faculty of Engineering School of Informatics & Mathematical Science
Professional career (3):
  • Ph.D. Informatics (Kyoto University)
  • Master of Informatics (Kyoto University)
  • Bachelor of Engineering (Kyoto University)
Work history (3):
  • 2021/10 - 現在 Tokyo University of Science Faculty of Engineering, Department of Information and Computer Technology Associate Professor
  • 2012/06 - 2021/09 Osaka University Graduate School of Engineering Assistant Professor
  • 2010/04 - 2012/06 Kyoto University Graduate School of Law
Awards (7):
  • 2020/03 - 学術奨励賞 画像生成ネットワークを用いたModel Inversion Attackの提案
  • 2020/03 - 研究奨励賞 地理空間概念知識グラフを用いたグラフ畳み込みネットワークによる詳細画像認識
  • 2017/03 - 学生プレゼンテーション賞 マイクロブログからの関連実世界観測情報の抽出
  • 2017/03 - 学生プレゼンテーション賞 マイクロブログからのリアルタイム地域情報抽出
  • 2017/01 - Best Paper Runner-up A Framework of Privacy-Preserving Image Recognition for Image-Based Information Services
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Association Membership(s) (4):
IEEE (Institute of Electrical and Electronics Engineers) ,  The Institute of Image Information and Television Engineers ,  Information Processing Society of Japan ,  The Institute of Electronics, Information and Communication Engineers
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