HIROAKI AIZAWA

Last Updated :2024/05/07

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Assistant Professor
Web Site
https://aizawan.github.io/
E-mail
hiroaki-aizawahiroshima-u.ac.jp

Basic Information

Academic Degrees

  • Gifu University
  • Gifu University

Research Keywords

  • Machine Learning
  • Computer Vision
  • Deep Learning

Educational Activity

Course in Charge

  1. 2024, Liberal Arts Education Program1, 3Term, Starting Programming from Scratch
  2. 2024, Liberal Arts Education Program1, 3Term, Starting Programming from Scratch
  3. 2024, Liberal Arts Education Program1, 3Term, Starting Programming from Scratch
  4. 2024, Liberal Arts Education Program1, 3Term, Starting Programming from Scratch
  5. 2024, Liberal Arts Education Program1, 3Term, Starting Programming from Scratch
  6. 2024, Liberal Arts Education Program1, 3Term, Starting Programming from Scratch
  7. 2024, Undergraduate Education, 1Term, Research Tutorial IIB
  8. 2024, Undergraduate Education, 2Term, Mathematical Analysis
  9. 2024, Undergraduate Education, 4Term, Informatics and Data Science Exercise IV
  10. 2024, Undergraduate Education, 1Term, Data Science Seminar I
  11. 2024, Undergraduate Education, 2Term, Data Science Seminar II
  12. 2024, Undergraduate Education, Second Semester, Graduation Thesis
  13. 2024, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science A
  14. 2024, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science A
  15. 2024, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science B
  16. 2024, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science B
  17. 2024, Graduate Education (Master's Program) , Academic Year, Special Study on Informatics and Data Science

Research Activities

Academic Papers

  1. ★, Additional Learning for Joint Probability Distribution Matching in BiGAN, International Conference on Neural Information Processing (ICONIP), 2022
  2. ★, Neural Density-Distance Fields, European Conference on Computer Vision (ECCV), 2022
  3. Universal Representation Learning from Multiple Domains for Few-Shot Classification with Self Distillation, Proceedings of 28th International Workshop on Frontiers of Computer Vision (IW-FCV), 2022
  4. Adversarial autoencoder for detecting anomalies in soldered joints on printed circuit boards, Journal of Electronic Imaging, 29(4), 1-9, 2020
  5. Multi-scale Global Reasoning Unit for Semantic Segmentation, Proceedings of 27th International Workshop on Frontiers of Computer Vision (IW-FCV), 2021
  6. ★, Viewpoint-agnostic Image Rendering, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 3803-3812, 2021
  7. ★, Disentangle, Assemble, and Synthesize: Unsupervised Learning to Disentangle Appearance and Location, Proceedings of 25th International Conference on Pattern Recognition (ICPR), 2065-2072, 2020
  8. Consistency Ensured Bi-directional GAN for Anomaly Detection, Proceedings of 26th International Workshop on Frontiers of Computer Vision (IW-FCV), 236-247, 2020
  9. Structural and Relational Reasoning with Multi-Scale Context for Semantic Segmentation, Proceedings of 26th International Workshop on Frontiers of Computer Vision (IW-FCV), 2020
  10. Temporal and Contextual Aggregation for Road Marking Semantic Segmentation, Proceedings of International Workshop on Advanced Imaging Technology (IWAIT), 115150E, 59-62, 2020
  11. Anomaly Detection of solder joint on print circuit board by using Adversarial Autoencoder, Proceedings of Fourteenth International Conference on Quality Control by Artificial Vision (QCAV), 11172, 203-208, 2019
  12. Training time reduction for network architecture search using genetic algorithm, Proceedings of Fourteenth International Conference on Quality Control by Artificial Vision (QCAV), 11172, 168-174, 2019
  13. Semantic Segmentation of Road Marking by Temporal Information, Proceeding of 25th International Workshop on Frontiers of Computer Vision (IW-FCV), 2019
  14. Defective Products Detection using Adversarial AutoEncode, Proceedings of International Workshop on Advanced Image Technology (IWAIT), 11049, 154-159, 2019
  15. A Method of Generation of Normal Model and Discrimination of Defects by Adversarial AutoEncoder under Small Number of Defective Samples, Proceeding of 24th International Workshop on Frontiers of Computer Vision (IW-FCV), 2018
  16. Human body and facial parts segmentation using Encoder-Multiple Decoders CNN, Proceeding of 24th International Workshop on Frontiers of Computer Vision (IW-FCV), 2018
  17. A Performance Evaluation of Defect Detection by using Denoising AutoEncoder Generative Adversarial Networks, Proceeding of International Workshop on Advanced Image Technology (IWAIT), 2018
  18. Fine-grained Semantic Part Segmentation using Encoder-Multiple Decoders CNN, The Fourth Workshop on Fine-Grained Visual Categorization in conjunction with CVPR2017, 2017
  19. Parts Segmentation on Aircraft using Encoder-Decoder CNN, Proceeding of 23rd International Workshop on Frontiers of Computer Vision (IW-FCV), 2017

Invited Lecture, Oral Presentation, Poster Presentation

  1. Viewpoint-agnostic Image Rendering, Hiroaki Aizawa, GPU Technology Conference (GTC), 2021, Without Invitation, English