Quan Huu Cap

According to our database, Quan Huu Cap authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

High-Quality Medical Image Generation from Free-hand Sketch.

Quan Huu Cap, Atsushi Fukuda

CoRR, 2024

2023

Towards robust plant disease diagnosis with hard-sample re-mining strategy.

Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi

Comput. Electron. Agric., December, 2023

A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement.

Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi

CoRR, 2023

2022

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis.

Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi

IEEE Trans Autom. Sci. Eng., 2022

2021

Bulk Production Augmentation Towards Explainable Melanoma Diagnosis.

Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi

CoRR, 2021

LASSR: Effective super-resolution method for plant disease diagnosis.

Quan Huu Cap, Hiroki Tani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi

Comput. Electron. Agric., 2021

2020

MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis.

Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Super-Resolution for Practical Automated Plant Disease Diagnosis System.

Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi

Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images.

Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis.

Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images.

Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, Hitoshi Iyatomi, Jun Hashimoto

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019