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20182026
most citedAttention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training

29 citations · 67 across the 17 of their papers we have counts for

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cs.CV2026

Where Did the Light Come From? Diagnosing Cast-Shadow Reasoning in VLMs and Borrowing the Missing Shadow Prior from Image Generation Models

Ryugo Morita, Shunsuke Kitada, Stanislav Frolov +5

Shadows are observable consequences of latent physical causes, arising from the interaction between illumination, object geometry, and scene structure. A model that understands sha…

cs.CV2025

TAUE: Training-free Noise Transplant and Cultivation Diffusion Model

Daichi Nagai, Ryugo Morita, Shunsuke Kitada +1

Despite the remarkable success of text-to-image diffusion models, their output of a single, flattened image remains a critical bottleneck for professional applications requiring la…

cs.CV2025

SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers

Takuro Kawada, Shunsuke Kitada, Sota Nemoto +1

Graphical Abstracts (GAs) play a crucial role in visually conveying the key findings of scientific papers. Although recent research increasingly incorporates visual materials such…

cs.CV2022

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…

cs.CV2018★ 12 cited

Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning

Shunsuke Kitada, Hitoshi Iyatomi

In this report, we introduce the outline of our system in Task 3: Disease Classification of ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection. We fine-tuned multiple pre-t…