研究業績

論文
著書
国際会議
国内会議

論文

  1. R. Higashimoto, S. Yoshida, and M. Muneyasu : ConfidentMix: Confidence-guided Mixup for Learning With Noisy Labels, IEEE Access, vol. 12, pp. 58519-58531, Apr. 2024 DOI: 10.1109/ACCESS.2024.3393440
  2. K. Soga, S. Yoshida, M. Muneyasu: Graph-Based Interpretability for Fake News Detection through Topic- and Propagation-Aware Visualization, Computation, Vol. 12, No. 4, Apr. 2024 DOI: 10.3390/computation12040082
  3. R. Higashimoto, S. Yoshida, and M. Muneyasu : CRAS: Curriculum Regularization and Adaptive Semi-Supervised Learning with Noisy Labels, Applied Sciences, vol. 14, no. 3, Jan. 2024 DOI: doi.org/10.3390/app14031208
  4. R. Higashimoto, S. Yoshida, T. Horihata, and M. Muneyasu : Unbiased Pseudo-Labeling for Learning with Noisy Labels, IEICE Trans. Information and Systems, vol. E107-D, no. 1, pp. 44-48, Jan. 2024 DOI: 10.1587/transinf.2023MUL0002
  5. K. Soga, S. Yoshida, and M. Muneyasu: Exploiting Stance Similarity and Graph Neural Networks for Fake News Detection, Pattern Recognition Letters, vol. 177, pp. 26-32, Jan. 2024 DOI: 10.1016/j.patrec.2023.11.019
  6. H. Shimoyama, S. Yoshida, T. Fujita, and M. Muneyasu : U-Net Architecture for Ancient Handwritten Chinese Character Detection in Han Dynasty Wooden Slips, IEICE Trans. Fundamentals, vol. E106-A, no. 11, pp.1406-1415, Nov. 2023 DOI: 10.1587/transfun.2023SMP0007
  7. M. Yasuda, S. Yoshida, and M. Muneyasu : New Performance Evaluation Method for Data Embedding Techniques for Printed Images Using Mobile Devices Based on a GAN, IEICE Trans. Fundamentals, vol. E106-A, no.3, pp. 481-485, Mar. 2023 DOI: 10.1587/transfun.2022SML0003
  8. H. Takeda, S. Yoshida and M. Muneyasu : Training Robust Deep Neural Networks on Noisy Labels Using Adaptive Sample Selection with Disagreement, IEEE Access, vol. 9, pp. 141131-141143, Oct. 2021 DOI: 10.1109/ACCESS.2021.3119582
  9. S. Yoshida, M. Muneyasu, T. Ogawa, and M. Haseyama : Heterogenerous-Graph-Based Video Search Reranking Using Topic Relevance, IEICE Trans. Fundamentals, vol. E103-A, no.12, pp. 1529-1540, Dec. 2020 DOI: 10.1587/transfun.2020SMP0023
  10. T. Fujii, S. Yoshida and M. Muneyasu : Video Search Reranking with Relevance Feedback Using Visual and Textual Similarities, IEICE Trans. Fundamentals, vol. E102-A, no.12, pp. 1900-1909, Dec. 2019 DOI: 10.1587/transfun.E102.A.1900
  11. S. Oohara, M. Muneyasu, S. Yoshida and M. Nakashizuka : Image Regularization with Total Variation and Optimized Morphologocal Gradient Priors, IEICE Trans. Fundamentals, vol. E102-A, no.12, pp. 1920-1924, Dec. 2019 DOI: 10.1587/transfun.E102.A.1920
  12. S. Yoshida, T. Ogawa, M. Haseyama and M. Muneyasu : Graph-Based Video Search Reranking with Local and Global Consistency Analysis, IEICE Trans. Inf. & Syst., vol. E101-D, no.5, pp. 1430-1440, May 2018 DOI: 10.1587/transinf.2017EDP7277
  13. M. Muneyasu, N. Jinda, Y. Moritani and S. Yoshida : Data Extraction Method from Printed Images with Different Formats, IEICE Trans. Fundamentals, vol. E100-A, no.11, pp. 2355-2357, Nov. 2017 DOI: 10.1587/transfun.E100.A.2355
  14. 吉田 壮，小川 貴弘，長谷山美紀 : 歌謡番組における映像の構造に注目したシーン分割手法, 電子情報通信学会論文誌(D), 一般社団法人 電子情報通信学会, vol.J97-D, no.7, pp. 1177-1188, 2014
  15. S. Yoshida, H. Okada, T. Ogawa, and M. Haseyama : A Method for Improving SVM-based Image Classification Performance Based on a Target Object Detection Scheme, ITE Transactions on Media Technology and Applications, The Institute of Image Information and Television Engineers, vol.1, no. 3, pp.237-243, 2013 DOI: 10.3169/mta.1.237

著書

  1. 吉田　壮：動画像検索のための適合性フィードバックを用いたリランキング，電気学会・ディジタル信号処理システム最適化技術調査専門委員会 編：ディジタル信号処理におけるシステム最適化技–基礎技術から音声・音響信号処理，産業応用と情報システムまで-第12章，オーム社，pp.237-257, 2021

国際会議

  1. S. Takano, M. Muneyasu, and S. Yoshida : A New Image Watermarking Method Using Adversarial Perturbations, Proc. 2022 International Workshop on Smart Info-Media Systems in Asia, online, Sept.15–16, SISA-AVM-01, 2022
  2. H. Matsumoto, S. Yoshida and M. Muneyasu : Flexible Framework to Provide Explainability for Fake News Detection Methods on Social Media, Proc. 2022 IEEE 11th Global Conference on Consumer Electronics, Osaka, Japan, Oct.18–21, pp.421-422, 2022
  3. K. Soga, S. Yoshida and M. Muneyasu : Propagation-Based Fake News Detection Using a Combination of Different Content Features, Proc. 2022 IEEE 11th Global Conference on Consumer Electronics, Osaka, Japan, Oct.18–21, pp.411-412, 2022 (IEEE GCCE 2022 Excellent Student Poster Award Silver Prize)
  4. R. Higashimoto, S. Yoshida and M. Muneyasu : A Robust Learning Framework Using Self-supervised Learning for Learning with Noisy Labels, Proc. 2022 IEEE 11th Global Conference on Consumer Electronics, Osaka, Japan, Oct.18–21, pp.409-410, 2022
  5. F. Kotegawa, M. Muneyasu, and S. Yoshida : Method of Extracting Data from Images on a Curved Surface in Data Embedding to Printed Images Using Mobile Devices, Proc. 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Hualien, Taiwan, Nov.16–19, O2-4, 2021
  6. T. Murano, M. Muneyasu, S. Yoshida, K. Chamnongthai, A. Asano, and K. Uchida : New Method of Detecting Calcification Regions in Dental Panoramic Radiographs Based on U-PraNet, Proc. 2021 20th International Symposium on Communication and Information Technologies (ISCIT), Tottori, Japan, Oct.20–22, W1-3, pp.11-14, 2019
  7. H. Matsumoto, S. Yoshida and M. Muneyasu : Propagation-Based Fake News Detection Using Graph Neural Networks with Transformer, Proc. 2021 IEEE 10th Global Conference on Consumer Electronics, Kyoto, Japan, Oct.12–15, pp.19-20, 2021
  8. M. Yasuda, M. Muneyasu, and S. Yoshida : Method of Generating Pseudo-Captured Images to Evaluate the Performance of Data Embedding Techniques for Printed Images Using Mobile Devices, Proc. 2021 International Workshop on Smart Info-Media Systems in Asia, online, Sept.20–22, pp.28-33, 2021
  9. T. Murano, M. Muneyasu, S. Yoshida, K. Chamnongthai, A. Asano, K. Uchida, N. Dewake, Y. Ishioka, and N. Yoshinari : Detection of Calcification Regions from Dental Panoramic Radiographs Based on Semantic Segmentation Using Deep Learning, Proc. 2021 International Workshop on Smart Info-Media Systems in Asia, online, Sept.20–22, pp.122-127, 2021
  10. S. Yoshida, T. Fujita and M. Muneyasu : A Character-region-aware Deep Network for Chinese Character Detention from Wood Slips of the Han Period, Proc. 2020 International Workshop on Smart Info-Media Systems in Asia, Online, Dec.18–19, pp.18-23, 2020
  11. M. Amami, M. Muneyasu and S. Yoshida : Data Extraction from Printed Data-Embedded Image Using Projectors, Proc. 2020 International Workshop on Smart Info-Media Systems in Asia, Online, Dec.18–19, pp.12-17, 2020
  12. M. Shiiba, M. Muneyasu and S. Yoshida : New Data Embedding and Detecting Method for Printed Image, Proc. 2019 IEEE 8th Global Conference on Consumer Electronics, Osaka, Japan, Oct.15–18, pp.223-224, 2019
  13. H. Takeda, S. Yoshida and M. Muneyasu : Learning from Noisy Labeled Data Using Symmetric Cross-Entropy Loss for Image Classification, Proc. 2020 IEEE 9th Global Conference on Consumer Electronics, Kobe, Japan, Oct.13–16, pp.770-772, 2020
  14. S. Oohara, H. Oka, M. Muneyasu, S. Yoshida, and M. Nakashizuka : Image Regularization with Morphological Gradient Priors Using Optimal Structuring Element for Each Pixel, Proc. 2019 International Symposium on Intelligent Signal Processing and Communication Systems, Taipei, Taiwan, Dec.3–6, O22-1, 2019
  15. T. Nishikawa, M. Muneyasu, Y. Nishida, S. Yoshida and K. Chamnongthai : Data Retrieval from Printed Image Using Image Features and Data Embedding, Proc. 2019 International Symposium on Intelligent Signal Processing and Communication Systems, Taipei, Taiwan, Dec.3–6, O28-6, 2019
  16. M. Shiiba, M. Muneyasu and S. Yoshida : New Data Embedding and Detecting Method for Printed Image, Proc. 2019 IEEE 8th Global Conference on Consumer Electronics, Osaka, Japan, Oct.15–18, pp.223-224, 2019
  17. H. Takeda, S. Yoshida and M. Muneyasu : Tag-based Video Retrieval with Social Tag Relevance Learning, Proc. 2019 IEEE 8th Global Conference on Consumer Electronics, Osaka, Japan, Oct.15–18, pp.893-894, 2019
  18. S. Yoshida and M. Muneyasu : A Graph-based Video Visual Reranking Method via Heterogenous Graph Analysis, Proc. 2019 International Workshop on Smart Info-Media Systems in Asia, Tokyo, Japan, Sept.4–6, pp.161-166, 2019
  19. M. Shiiba, T. Nishikawa, M. Muneyasu and S. Yoshida : Improvement of Data Embedding Method for Printed Image with High Detection Rate, Proc. 2019 International Workshop on Smart Info-Media Systems in Asia, Tokyo, Japan, Sept.4–6, pp.167-171, 2019
  20. M. Muneyasu : Recent Advances of Information Retrieval by Data Embedding Technique to Printed Images Using Mobile Devices (Keynote Speech), Proc. 2019 International Workshop on Smart Info-Media Systems in Asia, Tokyo, Japan, Sept.4–6, 2019
  21. M. Amami, M. Muneyasu, and S. Yoshida : Data Extraction for Data-embedded Printed Image Arranged at Arbitrary Positions, Proc. 2018 International Workshop on Smart Info-Media Systems in Asia, Kanagawa, Japan, Dec.13–14, pp.92-97, 2018
  22. S. Yoshida, and M. Muneyasu : Video Search Reranking on Multi-Layer Graphs Based on Combination of Video Features Using Subspace Analysis, Proc. 2018 International Workshop on Smart Info-Media Systems in Asia, Kanagawa, Japan, Dec.13–14, pp.53-58, 2018
  23. S. Oohara, M. Muneyasu, S. Yoshida, and M. Nakashizuka : Image Regularization Using Total Variation and Morphological Gradient Priors with Optimization of Structuring Element, Proc. 2018 International Symposium on Intelligent Signal Processing and Communication Systems, Ishigaki, Japan, Nov.27–30, pp.498-503, 2018
  24. T. Fujii, S. Yoshida, and M. Muneyasu : Video Retrieval by Reranking and Relevance Feedback with Tag-Based Similarity, Proc. 2018 IEEE 7th Global Conference on Consumer Electronics, Nara, Japan, Sept.6–8, pp.659-660, 2018 (IEEE GCCE 2018 Excellent Poster Award 3rd Prize)
  25. H. Oka, S. Oohara, M. Muneyasu, S. Yoshida, and M. Nakashizuka : Image Regularization with Morphological Gradients Priors Using Optimization of Multiple Structuring Element, Proc. 2018 International Symposium on Multimedia and Communication Technology, Tottori, Japan, Aug.29–31, pp.32-35, 2018
  26. T. Nishigaito, M. Muneyasu, K. Matsushima, S. Yoshida, and A. Taguchi : A New Method of Lossless Cording for Binary Holographic Interference Fringes, Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept.6–8, pp.1-4, 2017
  27. S. Oohara, Y. Ikeshita, M. Muneyasu, S. Yoshida, and M. Nakashizuka : Image Regularization with Morphological Gradient Priors Using Optimization of Structuring Element, Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept.6–8, pp.61-65, 2017
  28. T. Fujii, S. Yoshida, and M. Muneyasu : Feedback Assisted Multi-modality Reranking for Web Video Search, Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept.6–8, pp.74-78, 2017
  29. T. Nasu, K. Kawachi, M. Muneyasu, K. Chamnongthai, A. Asano, K. Uchida, Y. Ishioka, N. Yoshinari, and A. Taguchi : Detection of Calcification Region in Dental Panoramic Radiographs Using Snakes, Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept.6–8, pp.110-113, 2017
  30. M. Liji, M. Muneyasu, K. Matsushima S. Yoshida, and A. Taguchi : Lossy Coding of Wave-field Data Using Singular Value Decomposition, Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept.6–8, pp.211-215, 2017
  31. Y. Ikeshita, M. Muneyasu, M. Nakashizuka, and S. Yoshida : Image Regularization with Morphological Gradients Priors Considering Optimization of SE, Proc. 2017 Taiwan and Japan Conference on Circuits and Systems, Okayama, Japan, Aug. 21-23, pp.4, 2017
  32. S. Abe, M. Muneyasu, and S. Yoshida : A Design Technique of Impulse Detector Using Neural Network, Proc. 2017 Taiwan and Japan Conference on Circuits and Systems, Okayama, Japan, Aug. 21-23, pp. 19, 2017
  33. S. Yoshida, T. Ogawa, M. Haseyama and M. Muneyasu : Heterogeneous Graph-Based Topic Learning for Web Video Search Reranking, Proc. 2016 International Workshop on Smart Info-Media Systems in Asia, Ayutthaya, Thailand, Sept.14–17, pp.81-85，2016
  34. T. Shintani, M. Muneyasu and S. Yoshida : Improved Object Detection Method Using PTZ Camera and Kinect, Proc. 2016 International Workshop on Smart Info-Media Systems in Asia, Ayutthaya, Thailand, Sept.14–17, pp.75-80，2016
  35. N. Jinda, M. Shiiba and M. Muneyasu : Implementation of Data Extraction for Data Embedding to Printed Images in Tablet PC and Its Evaluation, Proc. 2016 International Workshop on Smart Info-Media Systems in Asia, Ayutthaya, Thailand, Sept.14–17, pp.69-74，2016
  36. K. Fujii and M. Muneyasu : A Method Stably Working Feedback Type Active Noise Control System for Preventive Panel of Sound Leakage, Proc. the 45th International Congress and Exposition on Noise Control Engineering, Hamburg, Germany, Aug.21-24, pp.426-437, 2016
  37. S. Yoshida, T. Ogawa, M. Haseyama : Graph-based web video search reranking through consistency analysis using spectral clustering, Proc. 2016 IEEE International Conference on Multimedia and Expo, Seattle, USA, July.11-15, pp.1-6, 2016 (Oral presentation)
  38. S. Yoshida, T. Ogawa, and M. Haseyama : Heterogeneous Graph-based Video Search Reranking using Web Knowledge via Social Media Network,” Proc. ACM International Conference on Multimedia (ACM MM), pp. 871-874, Brisbane, Australia, October, 2015 (Acceptance rate: 22%, Core Conference Ranking A*)

国内会議

Under construction