20 citations · 30 across the 6 of their papers we have counts for
8 papers
Continuous Face Aging Generative Adversarial Networks
Seogkyu Jeon, Pilhyeon Lee, Kibeom Hong +1
Face aging is the task aiming to translate the faces in input images to designated ages. To simplify the problem, previous methods have limited themselves only able to produce disc…
ArrowGAN : Learning to Generate Videos by Learning Arrow of Time
Kibeom Hong, Youngjung Uh, Hyeran Byun
Training GANs on videos is even more sophisticated than on images because videos have a distinguished dimension: time. While recent methods designed a dedicated architecture consid…
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation
Sunhee Hwang, Sungho Park, Dohyung Kim +2
In this paper, we introduce FairFaceGAN, a fairness-aware facial Image-to-Image translation model, mitigating the problem of unwanted translation in protected attributes (e.g., gen…
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization
Minsong Ki, Youngjung Uh, Wonyoung Lee +1
Weakly supervised object localization (WSOL) aims to localize the target object using only the image-level supervision. Recent methods encourage the model to activate feature maps…
README: REpresentation learning by fairness-Aware Disentangling MEthod
Sungho Park, Dohyung Kim, Sunhee Hwang +1
Fair representation learning aims to encode invariant representation with respect to the protected attribute, such as gender or age. In this paper, we design Fairness-aware Disenta…
Weakly-supervised Temporal Action Localization by Uncertainty Modeling
Pilhyeon Lee, Jinglu Wang, Yan Lu +1
Weakly-supervised temporal action localization aims to learn detecting temporal intervals of action classes with only video-level labels. To this end, it is crucial to separate fra…