広島大学 パターン認識研究室のWebサイトです.栗田多喜夫先生が運営していたパターン認識研究室(栗田・宮尾・相澤研究室)を相澤宏旭が引き継ぎ,2024年から新たにスタートした研究室です.研究室では,主に画像認識・画像生成のための機械学習・深層学習の基礎技術について研究しています.
興味をお持ちの方は,相澤(hiroaki-aizawa {at} hiroshima-u.ac.jp)までご連絡ください.
This is the website of the Pattern Recognition Laboratory at Hiroshima University. Our group mainly studies foundational machine learning and deep learning techniques for image recognition and image generation.
If you are interested, please contact Aizawa (hiroaki-aizawa {at} hiroshima-u.ac.jp).
現在,研究室の受け入れ上限のため新規の修士学生と研究生を受け入れておりません.
Due to capacity limits, we are not currently accepting new master's students or research students.
2021年以前の論文,パターン認識研究室(栗田研究室)の研究,国内論文誌と国内会議の研究は 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.
For publications before 2021, research conducted in the Pattern Recognition Laboratory under Professor Kurita, and domestic journal and conference papers, please visit Professor Takio Kurita’s personal page or Aizawa’s personal page.
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Akito Shinohara, Kohei Fukuda, Hiroaki Aizawa Logit Mixture Outlier Exposure for Fine-grained Out-of-Distribution Detection International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp.xx-xx, 2025 |
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Hiroaki Aizawa, Yoshikazu Hayashi Flatness-aware Curriculum Learning via Adversarial Difficulty British Machine Vision Conference (BMVC), pp.xx-xx, 2025 |
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Hiroaki Aizawa*, Yuta Naito*, Kohei Fukuda Class-wise Flooding Regularization for Imbalanced Image Classification Asian Conference on Pattern Recognition (ACPR), pp.xx-xx, 2025, (*equal contribution) |
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Yuki Igaue, Hiroaki Aizawa Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers Asian Conference on Pattern Recognition (ACPR), pp.xx-xx, 2025 |
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Sota Ito, Yoshikazu Hayashi, Hiroaki Aizawa, Kunihito Kato Learning Neural Velocity Fields from Dynamic 3D Scenes via Inter-Frame Consistency Loss International Joint Conference on Neural Networks (IJCNN), pp.xx-xx, 2025 |
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Kohei Fukuda, Hiroaki Aizawa Adaptive Out-of-Distribution Detection with Coarse-to-Fine Grained Representation International Conference on Computer Vision Theory and Applications (VISAPP), pp.19-26, 2025 |
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Sota Ito, Yoshikazu Hayashi, Hiroaki Aizawa, Kunihito Kato Learning Neural Velocity Fields from Dynamic 3D Scenes via Edge-Aware Ray Sampling International Conference on Computer Vision Theory and Applications (VISAPP), pp.699-706, 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 International Conference on Computer Vision Theory and Applications (VISAPP), pp.253-260, 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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Kohei Fukuda, Hiroaki Aizawa Taylor Outlier Exposure arXiv:2412.07219 |
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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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Hiroaki Aizawa and Itoshi Naramura Eigengrasp-Conditioned Neural Radiance Fields IEEE Access, vol.11, pp.121629-121636, 2023. |
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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. |