Research
研究
研究業績
カテゴリー
研究領域
年
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2024年度 研究報告ユビキタスコンピューティングシステム,優秀論文賞（UBI）：Vision Transformerから畳み込みニューラルネットワーク への知識蒸留手法の提案
前羽 利治，河野 慎，松尾 豊
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“Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model”
Xin Zhang*, Jiaxian Guo*, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)
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DreamSparse: Escaping from Plato’s Cave with 2D Frozen Diffusion Model given Sparse Views
Paul Yoo, Jiaxian Guo, Xin Zhang, Yutaka Matsuo, Shixiang Shane Gu
XRNerf workshop of The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)
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HAWK-Net: Hierarchical Attention Weighted Top-K Network for Megapixel Image Classification
Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo
IPSJ, (2023).
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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).
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“DreamSparse: Escaping from Plato’s Cave with 2D Frozen Diffusion Model given Sparse Views”
Paul Yoo, Jiaxian Guo, Xin Zhang, Yutaka Matsuo, Shixiang Shane Gu
XRNerf workshop of The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023). May 2023
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Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Xin Zhang, Jiaxian Guo, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
AI4CC workshop of The IEEE/CVF Conference on Computer Vision and Pattern Recognition
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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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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).
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Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Takeshi Kojima, Yutaka Matsuo, and Yusuke Iwasawa.
the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)