activity
20192022
most citedToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation

7 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20222 cited

Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation

Xin Li, Cuiling Lan, Guoqiang Wei +1

Vision transformer has demonstrated great potential in abundant vision tasks. However, it also inevitably suffers from poor generalization capability when the distribution shift oc…

cs.CV20217 cited

ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation

Guoqiang Wei, Cuiling Lan, Wenjun Zeng +2

Unsupervised domain adaptive classifcation intends to improve the classifcation performance on unlabeled target domain. To alleviate the adverse effect of domain shift, many approa…

cs.CV20216 cited

MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation

Guoqiang Wei, Cuiling Lan, Wenjun Zeng +1

For unsupervised domain adaptation (UDA), to alleviate the effect of domain shift, many approaches align the source and target domains in the feature space by adversarial learning…

cs.CV2019

Semantics-Aligned Representation Learning for Person Re-identification

Xin Jin, Cuiling Lan, Wenjun Zeng +2

Person re-identification (reID) aims to match person images to retrieve the ones with the same identity. This is a challenging task, as the images to be matched are generally seman…

cs.CV20192 cited

View Invariant 3D Human Pose Estimation

Guoqiang Wei, Cuiling Lan, Wenjun Zeng +1

The recent success of deep networks has significantly advanced 3D human pose estimation from 2D images. The diversity of capturing viewpoints and the flexibility of the human poses…