顔の角度情報を用いたDeepFake動画の検出手法の提案

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]

 “World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator”

Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo.

Advanced Robotics. Vol. 36, No. 17-18, pp 850-869, (2022).

Explaining Intelligent Agent’s Future Motionon Basis of Vocabulary Learning WithHuman Goal Inference

Fukuchi, Y., Osawa, M., Yamakawa, H., & Imai, M.

IEEE Access, 10, 54336–54347. (2022)

産業間の取引構造を用いた深層学習モデルによる生産指数の予測

山本裕樹，落合桂一，鈴木雅大，松尾豊

情報処理学会論文誌, (2022).

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).

Hippocampal formation-inspired probabilistic generative model

Taniguchi, A., Fukawa, A., & Yamakawa,H

Neural Networks: The Official Journal of the International Neural Network Society.(2022)

A whole brain probabilistic generative model: Toward realizingcognitive architectures for developmental robots

Taniguchi, T., Yamakawa, H., Nagai, T., Doya, K., Sakagami, M., Suzuki, M., Nakamura, T., & Taniguchi, A

Neural Networks: The Official Journal of the International Neural Network Society.(2022)