Published in ICCV 2025 Workshop [Paper] [Code]
Citation: Shumpei Takezaki, Ryoma Bise, Shinnosuke Matsuo, "NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models", ICCV 2025 Workshop
Published in ICDAR 2025 Workshop
Citation: Masaki Akiba, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida, "Few-Part-Shot Font Generation", ICDAR 2025 Workshop
Published in ICDAR 2025 [Paper] [Code]
Citation: Takumi Yoshimatsu, Shumpei Takezaki, Seiichi Uchida, "Inverse Scene Text Removal", ICDAR 2025
Published in WACV 2025 [Paper] [Code]
Citation: Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida, "Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels", WACV 2025
Published in BMVC 2024 [Paper]
Citation: Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano, Takayuki Yagi, Ryoma Bise, "Guidance-base Diffusion Models for Improving Photoacoustic Image Quality", BMVC 2024
Published in ISBI 2024 [Paper]
Citation: Shumpei Takezaki, Seiichi Uchida, "An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels", ISBI 2024
Published in ICDAR 2024 [Paper]
Citation: Sho Shimotsumagari, Shumpei Takezaki, Daichi Hraguchi, Seiichi Uchida, "Cross-Domain Image Conversion by CycleDM", ICDAR 2024
Published in ICDAR 2024 [Paper]
Citation: Tetta Kondo, Shumpei Takezaki, Daichi Hraguchi, Seiichi Uchida, "Font Style Interpolation with Diffusion Models", ICDAR 2024
Published in ISBI 2023 [Paper]
Citation: Shumpei Takezaki, Seiichi Uchida, "Disease Severity Regression with Continuous Data Augmentation", ISBI 2023
Published in IMECS 2021 [Paper]
Citation: Shumpei Takezaki, Kazuya Kishida, "Construction of CNNs for Abnormal Heart Sound Detection using Data Augmentation", IMECS 2021
Published in IEICE Kyushu
Citation: 吉松 拓海，内田 誠一， 竹崎 隼平, "拡散モデルによるScene text removal", IEICE Kyushu
Published in IEICE Kyushu
Citation: 石丸 大晟， 竹崎 隼平，備瀬 竜馬, "拡散モデルを利用した分布外検出", IEICE Kyushu
Published in IEICE Kyushu
Citation: 松崎 悠汰，内田 誠一， 竹崎 隼平, "ノイズキャンセル機能を有した拡散モデル", IEICE Kyushu
Published in IEICE Kyushu
Citation: 永留 和真，内田 誠一， 竹崎 隼平, "カラーパレットによる着色指示が可能な拡散モデルによる画像生成", IEICE Kyushu
Published in MIRU 2024 Oral
Citation: 竹崎 隼平，田中聖人，内田誠一, "誤りのある順序付きラベルでの自己緩和型共同学習による重症度推定", MIRU 2024 Oral
Published in MIRU 2024 Oral
Citation: 江口達大， 竹崎 隼平，備瀬竜馬, "撮像条件情報を用いたガイダンスを導入した拡散モデルによる光超音波画像の画質改善", MIRU 2024 Oral
Published in MIRU 2024 Oral
Citation: 下津曲将， 竹崎 隼平，原口大地，内田誠一, "Cyclic Diffusion Modelの提案とその文字画像変換への応用", MIRU 2024 Oral
Published in PRMU
Citation: 下津曲将， 竹崎 隼平，原口大地，内田誠一, "拡散モデルによる活字画像の生成", PRMU
Published in PRMU
Citation: 竹崎 隼平，内田誠一, "重症度クラスを条件とした拡散モデルによる医用画像生成", PRMU
Published in MIRU 2023 Poster
Citation: 竹崎 隼平，Weizhi shi，Gantugs Atarsaikhan，内田誠一, "事前学習済みU-Netによる画像処理パイプライン", MIRU 2023 Poster
Published in PRMU
Citation: 竹崎 隼平，田中聖人，内田誠一，門田健明, "重症度が連続的に変化する医用生成画像を用いたデータ拡張", PRMU
Published in IEICE Kyushu
Citation: 竹崎 隼平，田中聖人，内田誠一，門田健明, "Conditional GANによる医療画像のデータ拡張", IEICE Kyushu