In this paper, we tackle the problem of synthesizing a ground-view panor...
Synthesizing high-resolution realistic images from text descriptions is ...
Learning to generate natural scenes has always been a daunting task in
c...
Low-rank Multi-view Subspace Learning (LMvSL) has shown great potential ...
Multi-view subspace clustering aims to divide a set of multisource data ...
Unsupervised Domain Adaptation (UDA) addresses the problem of performanc...
It remains a huge challenge to design effective and efficient trackers u...
Cross-view classification that means to classify samples from heterogene...
We present a novel cross-view classification algorithm where the gallery...