Research

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    • 2024 Research Report Ubiquitous Computing Systems, Best Paper Award (UBI): Proposal of Knowledge Distillation Method from Vision Transformer to Convolutional Neural Network

      前羽 利治,河野 慎,松尾 豊

    • HAWK-Net: Hierarchical Attention Weighted Top-K Network for Megapixel Image Classification

      Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo

      IPSJ, (2023).

    • Proposal of a DeepFake Video Detection Method Using Face Angle Information

      蔭山智, 鈴木雅大, 落合桂一, 松尾豊

      電子情報通信学会和文論文誌D, (2023).

    • Robustifying Vision Transformer Without Retraining From Scratch Using Attention Based Test-Time Adaptation

      Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      New Generation Computing, (2022).[paper]

    • Fixing the train-test objective discrepancy: Iterative Image Inpainting for Unsupervised Anomaly Detection

      Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matuo.

      J-Stage in August Vol.30, (2022).

    • 25th Symposium on Image Recognition and Understanding (MIRU2022) MIRU Excellence Award: Pixel vs. Object: A Study on Optimal Image Representation in Change Capture

      土居健人, 濱口竜平, 岩澤有祐, 大西正輝, 松尾豊, 櫻田健,

    • JSAI2018 Excellence Award: “Improving Robustness to Long Action Sequences by Partitioning into Subtasks and Predicting Abstracted Actions in Instruction Following.”

      篠田 一聡,竹澤 祐貴,鈴木 雅大,岩澤 有祐,松尾 豊

    • Cloth-Region Aware Generative Adversarial Networks toword Virtual Try-On System

      久保静真, 岩澤有祐, 鈴木雅大, 松尾豊

      情報処理学会論文誌, Vol.60, No.3, pp.870-879(2019)

    • JSAI2018 Student Incentive Award: “Measuring the number of garbage bags from garbage collection videos using deep learning.”

      三上 量弘, 河野 慎, 陳 寅, 中澤 仁

    • JSAI2018 Student Incentive Award: “Pointillism Detection and Scoring Method for the Establishment of Basic Calligraphic Postures in Elementary School Students.”

      柿野 優衣, 河野 慎, 米澤 拓郎, 中澤 仁