2 citations · 4 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning
Hong Wang, Yuefan Deng, Shinjae Yoo +2
While deep neural networks have shown impressive performance in many tasks, they are fragile to carefully designed adversarial attacks. We propose a novel adversarial training-base…
Transparent Object Tracking Benchmark
Heng Fan, Halady Akhilesha Miththanthaya, Harshit +5
Visual tracking has achieved considerable progress in recent years. However, current research in the field mainly focuses on tracking of opaque objects, while little attention is p…