Continual semantic segmentation aims to learn new classes while maintain...
Understanding action recognition in egocentric videos has emerged as a v...
The research in self-supervised domain adaptation in semantic segmentati...
Understanding semantic scene segmentation of urban scenes captured from ...
Although Domain Adaptation in Semantic Scene Segmentation has shown
impr...
Although unsupervised domain adaptation methods have achieved remarkable...
In this work, we investigate the problem of face reconstruction given a
...
Self-training crowd counting has not been attentively explored though it...
Unsupervised domain adaptation is one of the challenging problems in com...
Human action recognition has recently become one of the popular research...
Semantic segmentation aims to predict pixel-level labels. It has become ...
Turn-taking has played an essential role in structuring the regulation o...
Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer...
Disentangled representations have been commonly adopted to Age-invariant...
Unveiling face images of a subject given his/her high-level representati...
Image alignment across domains has recently become one of the realistic ...
Recognition across domains has recently become an active topic in the
re...
Flow-based generative models have recently become one of the most effici...
Recognition across domains has recently become an active topic in the
re...