27 citations · 35 across the 5 of their papers we have counts for
Showing 2023 · cs.CVShow all
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cs.CV2023★ 3 cited
LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack
Joonkyo Shim, Hyunsoo Yoon
Deepfakes, malicious visual contents created by generative models, pose an increasingly harmful threat to society. To proactively mitigate deepfake damages, recent studies have emp…
cs.CV2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection
Yujin Lee, Harin Lim, Seoyoon Jang +1
Visual anomaly detection aims to learn normality from normal images, but existing approaches are fragmented across various tasks: defect detection, semantic anomaly detection, mult…
cs.CV2023
AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain
Jun Kataoka, Hyunsoo Yoon
This paper presents an unsupervised domain adaptation (UDA) method for predicting unlabeled target domain data, specific to complex UDA tasks where the domain gap is significant. M…