2 citations · 5 across the 11 of their papers we have counts for
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cs.CV2023
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer
Joonwoo Kwon, Sooyoung Kim, Yuewei Lin +2
Neural style transfer (NST) has evolved significantly in recent years. Yet, despite its rapid progress and advancement, existing NST methods either struggle to transfer aesthetic i…
cs.CV2023★ 1 cited
Exploring Robust Features for Improving Adversarial Robustness
Hong Wang, Yuefan Deng, Shinjae Yoo +1
While deep neural networks (DNNs) have revolutionized many fields, their fragility to carefully designed adversarial attacks impedes the usage of DNNs in safety-critical applicatio…
cs.CV2023★ 2 cited
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization
Xi Yu, Huan-Hsin Tseng, Shinjae Yoo +2
Domain Generalization (DG) aims to learn a generalizable model on the unseen target domain by only training on the multiple observed source domains. Although a variety of DG method…