Change captioning is to describe the semantic change between a pair of
s...
This paper proposes a novel application system for the generation of
thr...
Arbitrary-oriented object representations contain the oriented bounding ...
Nearly all existing Facial Action Coding System-based datasets that incl...
Domain adaptive semantic segmentation is recognized as a promising techn...
Energy disaggregation, also known as non-intrusive load monitoring (NILM...
Unsupervised Domain Adaptation (UDA) aims to generalize the knowledge le...
Chinese is one of the most widely used languages in the world, yet onlin...
Domain adaptation investigates the problem of cross-domain knowledge tra...
Lately, generative adversarial networks (GANs) have been successfully ap...
Domain adaptation investigates the problem of leveraging knowledge from ...
Zero-shot learning (ZSL) and cold-start recommendation (CSR) are two
cha...
Conventional zero-shot learning (ZSL) methods generally learn an embeddi...
Facial expression analysis based on machine learning requires large numb...
Direct policy search is one of the most important algorithm of reinforce...
Action recognition is an important yet challenging task in computer visi...
This paper addresses the problem of handling spatial misalignments due t...
Multi-camera tracking is quite different from single camera tracking, an...
With the rapid development of social media sharing, people often need to...