広島大学 パターン認識研究室
Pattern Recognition Laboratory, Hiroshima University

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.



研究室メンバー / Members

教員

  1. 相澤宏旭(助教) [個人ページ]

博士課程前期学生

  1. 内藤 勇太
  2. 伊賀上 裕輝
  3. 陳 茂森
  4. 李 微奇
  5. 米花 陽希
  6. 篠原 彰斗

学部生

  1. 久保田 晃市
  2. 劉 嘉欣

研究生

  1. 呉 楽楽
  2. 弓 馳弘

研究 / Research

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.


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
Hiroaki Aizawa, Yoshikazu Hayashi
Flatness-aware Curriculum Learning via Adversarial Difficulty
British Machine Vision Conference (BMVC), pp.xx-xx, 2025
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)
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
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
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
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
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
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
Kohei Fukuda, Hiroaki Aizawa
Taylor Outlier Exposure
arXiv:2412.07219
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
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
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
Hiroaki Aizawa and Itoshi Naramura
Eigengrasp-Conditioned Neural Radiance Fields
IEEE Access, vol.11, pp.121629-121636, 2023.
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.
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.
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.
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.
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.
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.
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.
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.


連絡先 / Contact

宛先

〒739-8527
広島県東広島市鏡山1-4-1
広島大学 先進理工系科学研究科 情報科学プログラム 総合科学部C棟6階C619
相澤 宏旭

居室

広島大学 東広島キャンパス 総合科学部C棟6階C619
TEL: 082-424-4655 (内線:4655)

研究室

広島大学 東広島キャンパス 総合科学部C棟7階C706