David Carlyn — accepted AI-conference papers

2025

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation

Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Berger-Wolf +2

CVPR 2025poster

Class activation map (CAM) has been widely used to highlight image regions that contribute to class predictions. Despite its simplicity and computational efficiency, CAM often struggles to identify discriminative regions that distinguish visually similar fine-grained classes. Prior efforts address t…

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2023

Learning Fractals by Gradient Descent

Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao

AAAI 2023technical

Fractals are geometric shapes that can display complex and self-similar patterns found in nature (e.g., clouds and plants). Recent works in visual recognition have leveraged this property to create random fractal images for model pre-training. In this paper, we study the inverse problem --- given a…

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