425 citations · 956 across the 28 of their papers we have counts for
28 papers
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy
Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada +3
With rich annotation information, object detection-based automated plant disease diagnosis systems (e.g., YOLO-based systems) often provide advantages over classification-based sys…
A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement
Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
Medical images are extremely valuable for supporting medical diagnoses. However, in practice, low-quality (LQ) medical images, such as images that are hazy/blurry, have uneven illu…
Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired
Kazuya Ohata, Shunsuke Kitada, Hitoshi Iyatomi
We propose a simple yet effective image captioning framework that can determine the quality of an image and notify the user of the reasons for any flaws in the image. Our framework…
Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval
Kei Nishimaki, Kumpei Ikuta, Yuto Onga +2
Content-based image retrieval (CBIR) systems are an emerging technology that supports reading and interpreting medical images. Since 3D brain MR images are high dimensional, dimens…
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents
Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi
It is often difficult to correctly infer a writer's emotion from text exchanged online, and differences in recognition between writers and readers can be problematic. In this paper…
DMS: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention
Shunsuke Kitada, Yuki Iwazaki, Riku Togashi +1
There is increasing interest in the use of multimodal data in various web applications, such as digital advertising and e-commerce. Typical methods for extracting important informa…