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HUU QUAN Cap

HUU QUAN Cap

HUU QUAN  CAP   フー クアン キャップ(クン) 博士研究員
                huu quan cap
                E-mail : huuquan.cap.75(A T)hosei.ac.jp

Research theme: Applying Deep Learning/Machine Learning for Automated Plant Diagnosis and Medical Imaging

 

Publications

Journal

Q. H. Cap, H. Tani, H. Uga, S. Kagiwada, H. Iyatomi, “LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis,” Computers and Electronics in Agriculture (COMPAG), 2021. [Link]

 Q. H. Cap, H. Uga, S. Kagiwada, H. Iyatomi, “LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis,” IEEE Transactions on Automation Science and Engineering (T-ASE), 2020. [Link]

 Q. H. Cap, K. Suwa, E. Fujita, H. Uga, S. Kagiwada, and H. Iyatomi, “An End-to-end Practical Plant Disease Diagnosis System for Wide-angle Cucumber Images,” International Journal of Engineering & Technology, vol. 7, no. 4.11, pp. 106–111, 2018. [Link]

International conference

Q. H. Cap, H. Iyatomi, A. Fukuda, “MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis,” 25th International Conference on Pattern Recognition Workshops (ICPR2020), Milan, Italy, 2020. [Link]

K. Obi, Q. H. Cap, N. Umegaki-Arao, M. Tanaka, H. Iyatomi, “Bulk Production Augmentation Towards Explainable Melanoma Diagnosis,” IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES2020), Langkawi, Malaysia, 2020. (Student Best Paper Award) [Link]

S. Kanno, S. Nagasawa, Q. H. Cap, S. Shibuya, H. Uga, S. Kagiwada, H. Iyatomi, “PPIG: Productive and Pathogenic Image Generation for Plant Disease Diagnosis,” IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES2020), Langkawi, Malaysia, 2020. [Link]

K. Suwa, Q. H. Cap, S. Kagiwada, H. Uga, H. Iyatomi, “A Comparable Study: Intrinsic Difficulties of Practical Plant Diagnosis from Wide-angle Images,” IEEE BigData Workshops, Los Angeles, CA, 2019. [Link]

T. Saikawa, Q. H. Cap, S. Kagiwada, H. Uga, H. Iyatomi, “AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis,” IEEE BigData Workshops, Los Angeles, CA, 2019. [Link]

H. Okamoto, Q. H. Cap, T. Nomura, H. Iyatomi, J. Hashimoto, “Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images,” IEEE BigData Workshops, Los Angeles, CA, 2019. [Link]

Q. H. Cap, H. Tani, H. Uga, S. Kagiwada, H. Iyatomi, “Super-Resolution for Practical Automated Plant Disease Diagnosis System,” The 53rd Annual Conference on Information Sciences and Systems (CISS2019), Maryland, USA, March. 2019. [Link]

Q. H. Cap, K. Suwa, E. Fujita, S. Kagiwada, H. Uga, H. Iyatomi, “An End-To-End Practical Plant Disease Diagnosis System for Wide-Angle Cucumber Images,” The 2018 International Symposium on Computational Intelligence & Applications (ISCIA2018), Malaysia, July. 2018. (Best Paper Award) [Link]

H. Q. Cap, K. Suwa, E. Fujita, S. Kagiwada, H. Uga, H. Iyatomi, “A Deep Learning Approach for on-site Plant Leaf Detection,” The 14th IEEE Colloquium on Signal Processing and its Applications (CSPA2018), Penang, Malaysia, March. 2018. [Link]

Domestic conference

Q. H. Cap, E. Fujita, K. Suwa, S. Kagiwada, H. Uga, H. Iyatomi, “A Basic Study on Leaves Detection with Deep Learning Features,” 16th Forum of Information Technology (FIT2017), Tokyo, Sep. 2017.

Google Scholar

Quan Huu Cap

Personal website

Cap Huu Quan's blog