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    • Towards High-resolution and Disentangled Reference-based Sketch Colorization

      Dingkun Yan, Xinrui Wang, Ru Wang, Zhuoru Li, Jinze Yu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo.

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026).

    • CLIP-like Model as a Foundational Density Ratio Estimator

      Fumiya Uchiyama*, Rintaro Yanagi, Shohei Taniguchi, Shota Takashiro, Masahiro Suzuki, Hirokatsu Kataoka, Yusuke Iwasawa, Yutaka Matsuo.

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026).

    • MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation

      Yuta Oshima*, Daiki Miyake*, Kohsei Matsutani, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta.

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026).

    • Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search

      Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta.

      Advances in Neural Information Processing Systems (NeurIPS 2025).

    • 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

    • 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)

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

      Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo

      IPSJ, (2023).

    • 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).

    • 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

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

      Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      New Generation Computing, (2022).[paper]