In this paper, we present a medical AttentIon Denoising Super Resolution...
Pool-based Active Learning (AL) has achieved great success in minimizing...
To understand human behaviors, action recognition based on videos is a c...
Recent image captioning models are achieving impressive results based on...
Active Learning (AL) is a set of techniques for reducing labeling cost b...
Contrastive learning has been widely applied to graph representation
lea...
Image super-resolution is important in many fields, such as surveillance...
Describing images using natural language is widely known as image captio...
In this paper, we develop face.evoLVe – a comprehensive library that
col...
A wide range of image captioning models has been developed, achieving
si...
Visual crowd counting has been recently studied as a way to enable peopl...
Arbitrary image style transfer is a challenging task which aims to styli...
Although significant progress has been made in the field of automatic im...
Recently, the state-of-the-art models for image captioning have overtake...
Attention modules connecting encoder and decoders have been widely appli...
Image captioning is a challenging task that combines the field of comput...