
Research
Publications
Category
Research Area
Year
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Learning Global Spatial Information for Multi-View Object-Centric Models
Yuya Kobayashi, Masahiro Suzuki, Yutaka Matsuo
Advanced Robotics, (2023).
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Scene interpretation using background information from deep generative models
小林由弥, 鈴木雅大, 松尾豊
人工知能学会論文誌, 第38巻3号, (2023).
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Bayesian Neural Network for Uncertainty Assessment of Economic Text and Development of Economic Indicators
山本裕樹, 鈴木雅大, 落合桂一, 松尾豊
情報処理学会論文誌, (2023).
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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).
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BRAES: Developing a Brain Reference Architecture Editorial System for Accumulating Hypotheses on Neural Functionality
Yoshimasa Tawatsuji, Yuta Ashihara, Naoya Arakawa, Hiroshi Yamakawa
INCF Neuroinformatics Assembly, 517. September 2023
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BDBRA: Database for extracting descriptions of neural projections and brain regions from neuroscience literature with dialogue prompts
Yuta Ashihara, Hiroshi Yamakawa, Iriya Horiguchi, Yutaka Matsuo
Computational Neuroscience, P128. 2023.
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Robustifying Vision Transformer Without Retraining From Scratch Using Attention Based Test-Time Adaptation
Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
New Generation Computing, (2022).[paper]
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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).
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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)
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Predicting production indices using deep learning models with inter-industry trade structures
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).