Quan Huu Cap

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Low Resolution Images

Disease Diagnosis

Video Super Resolution

Top Venues

Comput. Electron. Agric.

IEEE Trans Autom. Sci. Eng.

Publications

Quan Huu Cap, Atsushi Fukuda
High-Quality Medical Image Generation from Free-hand Sketch. CoRR (2024)
Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy. CoRR (2023)
Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement. CoRR (2023)
Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
Towards robust plant disease diagnosis with hard-sample re-mining strategy. Comput. Electron. Agric. 215 (2023)
Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. IEEE Trans Autom. Sci. Eng. 19 (2) (2022)
Quan Huu Cap, Hiroki Tani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
LASSR: Effective super-resolution method for plant disease diagnosis. Comput. Electron. Agric. 187 (2021)
Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi
Bulk Production Augmentation Towards Explainable Melanoma Diagnosis. CoRR (2021)
Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. CoRR (2020)
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis. CoRR (2020)
Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. ICPR Workshops (1) (2020)
Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. CoRR (2020)
Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. IEEE BigData (2019)
Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, Hitoshi Iyatomi, Jun Hashimoto
Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images. IEEE BigData (2019)
Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. CoRR (2019)
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
Super-Resolution for Practical Automated Plant Disease Diagnosis System. CISS (2019)
Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. IEEE BigData (2019)
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
Super-Resolution for Practical Automated Plant Disease Diagnosis System. CoRR (2019)
Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. CoRR (2019)