出版物 / Publications
2021年以前の論文，パターン認識研究室（栗田研究室）の研究，国内会議の研究は 栗田多喜夫先生の個人ページ もしくは 相澤の個人ページ をご覧ください．
Preprint
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Kohei Fukuda, Hiroaki Aizawa Taylor Outlier Exposure arXiv:2412.07219 |
論文誌 / Journal
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尾下拓未, 上野詩翔, 山田悠正, 中塚俊介, 加藤邦人, 相澤宏旭, 林良和 In-Context Learningを使用した大規模視覚言語モデルによる少数の例示画像付き外観検査 精密工学会誌, 採択決定, 2024 |
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林良和, 相澤宏旭, 加藤邦人 Total Variation正則化を適用したFast Fourier ConvolutionによるPaDiMの異常検知性能の向上 電気学会論文誌C, Vol.144, No.9, pp.886-893, 2024 |
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Hiroaki Aizawa and Itoshi Naramura Eigengrasp-Conditioned Neural Radiance Fields IEEE Access, vol.11, pp.121629-121636, 2023. |
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中村友哉, 加藤邦人, 寺田和憲, 高橋通一, 塩澤安生, 相澤宏旭 もつれ解き表現学習を用いた木目画像の官能検査 精密工学会誌, Vol.89, No.12, pp.973-978, 2023. |
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林良和, 相澤宏旭, 中塚俊介, 加藤邦人 Fourier-Convolutional PaDiM による異常検知 精密工学会誌, Vol.89, No.12, pp.942-948, 2023. |
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中村友哉, 加藤邦人, 寺田和憲, 高橋通一, 塩澤安生, 相澤宏旭 GANの潜在空間探索を用いた木目画像の官能検査 精密工学会誌, Vol.89, No.2, pp.213-220, 2023. |
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丹羽靖治, 相澤宏旭, 加藤邦人 穴位置不確実Peg-in-holeのための擬似力覚モジュールを用いた深層模倣学習 精密工学会誌, Vol.89, No.1, pp.83-89, 2023. |
国際会議 / International Conference
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Kohei Fukuda, Hiroaki Aizawa Adaptive Out-of-Distribution Detection with Coarse-to-Fine Grained Representation VISAPP2025, pp.xx-xx, 2025 |
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Shiryu Ueno, Yoshikazu Hayashi, Shunsuke Nakatsuka, Yusei Yamada, Hiroaki Aizawa, Kunihito Kato Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model VISAPP2025, pp.xx-xx, 2025 |
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Shiryu Ueno, Yoshikazu Hayashi, Shunsuke Nakatsuka, Hiroaki Aizawa, Kunihito Kato Boosting Explainability of Visual Inspection via Multi-Head Vision Language Model International Conference on Quality Control by Artificial Vision (QCAV), pp.xx-xx, 2025 |
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Yuki Igaue, Takio Kurita, Hiroaki Aizawa Incorporating Spatial Locality into Self-Attention for Training Vision Transformer on Small-Scale Datasets Proceedings of 27th International Conference on Pattern Recognition (ICPR), Lecture Notes in Computer Science (volume 15303), pp.259-274, 2024 |
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Takeshi Yoshidomi, Shinji Kume, Hiroaki Aizawa, Akira Furui Classification of Carotid Plaque with Jellyfish Sign Through Convolutional and Recurrent Neural Networks Utilizing Plaque Surface Edges Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC2024), pp.xx-xx, 2024 |
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Kohei Fukuda, Takio Kurita, Hiroaki Aizawa Important Pixels Sampling for NeRF Training based on Edge Values and Squared Errors between the Ground Truth and the Estimated Colors International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) - Volume 2: VISAPP, pp.102-111, 2024 |
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Yin Wang, Hiroaki Aizawa, Takio Kurita Image inpainting for large and irregular mask based on partial convolution and cross semantic attention Asian Conference on Pattern Recognition (ACPR), pp.115-128, 2023. |
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Sota Ito, Hiroaki Aizawa, Kunihito Kato Few-shot NeRF-based View Synthesis for Viewpoint-biased Camera Pose Estimation International Conference on Artificial Neural Networks (ICANN), pp.308-319, 2023. |
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Kohei Fukuda, Takio Kurita, Hiroaki Aizawa Neural Radiance Fields with Regularizer Based on Differences of Neighboring Pixels International Joint Conference on Neural Networks (IJCNN), pp.1-7, 2023. |
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Jiazhou Zheng, Hiroaki Aizawa, Takio Kurita Facial Image Manipulation via Discriminative Decomposition of Semantic Space International Joint Conference on Neural Networks (IJCNN), pp.1-8, 2023. |
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Yasuharu Niwa, Kunihito Kato, Hiroaki Aizawa, Yoshiyuki Hatta, Kazuaki Ito Parallax-based Imitation Learning with Human Intervention for Uncertain Insertion Tasks International Workshop on Frontiers of Computer Vision (IW-FCV), pp.271-285, 2023. |
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Yoshikazu Hayashi, Hiroaki Aizawa, Shunsuke Nakatsuka, Kunihito Kato Frequency Perturbation Analysis for Anomaly Detection using Fourier Heat Map International Conference on Quality Control by Artificial Vision (QCAV), Vol.12749, pp.73-79, 2023. |
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Jiazhou Zheng, Hiroaki Aizawa, Takio Kurita Additional Learning for Joint Probability Distribution Matching in BiGAN International Conference on Neural Information Processing (ICONIP), pp.165-176, 2022. |
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Itsuki Ueda, Yoshihiro Fukuhara, Hirokatsu Kataoka, Hiroaki Aizawa, Hidehiko Shishido, Itaru Kitahara Neural Density-Distance Fields European Conference on Computer Vision (ECCV), pp.53-68, 2022. |