Image dehazing aims to restore spatial details from hazy images. There h...
Video quality is a primary concern for video service providers. In recen...
Visual Emotion Analysis (VEA), which aims to predict people's emotions
t...
Personalized image aesthetics assessment (PIAA) is challenging due to it...
Recovering a dense depth image from sparse LiDAR scans is a challenging ...
Visual Emotion Analysis (VEA) aims at finding out how people feel emotio...
The attention mechanism is blooming in computer vision nowadays. However...
Visual Emotion Analysis (VEA) has attracted increasing attention recentl...
Neural architecture search (NAS) has recently reshaped our understanding...
Wireless communication has achieved great success in the past several
de...
Research on image quality assessment (IQA) remains limited mainly due to...
Deep neural networks (DNNs) based methods have achieved great success in...
Recently, increasing interest has been drawn in exploiting deep convolut...
Existing methods on visual emotion analysis mainly focus on coarse-grain...
Pedestrian attribute recognition has received increasing attention due t...
Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-mod...
For many computer vision problems, the deep neural networks are trained ...