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...
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...
Face aging is the task aiming to translate the faces in input images to
...
Weakly-supervised temporal action localization aims to detect intervals ...
Weakly-supervised temporal action localization is a very challenging pro...