Encoding the Region Of Interest (ROI) with better quality than the backg...
Clinic testing plays a critical role in containing infectious diseases s...
Recently, deep learning-based image compression has made signifcant
prog...
Efficient and effective real-world image super-resolution (Real-ISR) is ...
Single image super-resolution (SISR) with generative adversarial network...
Recently, various view synthesis distortion estimation models have been
...
Existing image-to-image translation (I2IT) methods are either constraine...
Different from general photo retouching tasks, portrait photo retouching...
We develop a special phase field/diffusive interface method to model the...
As an infrastructure for data persistence and analysis, Database Managem...
In remote regions (e.g., mountain and desert), cellular networks are usu...
Recently deep learning-based image compression has shown the potential t...
Person search generally involves three important parts: person detection...
Learned image compression has recently shown the potential to outperform...
Recently many works attempt to develop image compression models based on...
Recently it has been shown that deep learning-based image compression ha...
Recently deep learning-based methods have been applied in image compress...
In this paper, we deal with the problem of relay selection in mobile edg...
In this paper we propose a unified framework to simultaneously discover ...
Fuzzing is widely used for software vulnerability detection. There are
v...
Deep learning has revolutionized many computer vision fields in the last...
A semi-recurrent hybrid VAE-GAN model for generating sequential data is
...
In this paper, two local activity-tuned filtering frameworks are propose...
Deep neural networks generally involve some layers with mil- lions of
pa...