Training deep generative models usually requires a large amount of data....
To deliver the artistic expression of the target style, recent studies
e...
Temporal action detection aims to predict the time intervals and the cla...
3D-aware GANs aim to synthesize realistic 3D scenes such that they can b...
This paper focuses on subject adaptation for EEG-based visual recognitio...
Weakly supervised semantic segmentation (WSSS) aims to produce pixel-wis...
Domain adaptation for object detection (DAOD) has recently drawn much
at...
Learning visual representation of high quality is essential for image
cl...
This paper tackles the problem of subject adaptive EEG-based visual
reco...
This paper focuses on EEG-based visual recognition, aiming to predict th...
Domain generalization aims to enhance the model robustness against domai...
We tackle the problem of localizing temporal intervals of actions with o...
Style transfer aims to reproduce content images with the styles from
ref...
Face aging is the task aiming to translate the faces in input images to
...
Training GANs on videos is even more sophisticated than on images becaus...
In this paper, we introduce FairFaceGAN, a fairness-aware facial
Image-t...
Weakly supervised object localization (WSOL) aims to localize the target...
Fair representation learning aims to encode invariant representation wit...
Weakly-supervised temporal action localization aims to detect intervals ...
Since annotating pixel-level labels for semantic segmentation is laborio...
Weakly-supervised temporal action localization is a very challenging pro...