Transformer-based models have been widely demonstrated to be successful ...
While class activation map (CAM) generated by image classification netwo...
It has been widely known that CAM (Class Activation Map) usually only
ac...
Employing the latent space of pretrained generators has recently been sh...
Generative Adversarial Networks (GANs) have been widely adopted in vario...
There are large amount of valuable video archives in Video Home System (...
Although significant progress has been made in synthesizing high-quality...
Recently, convolutional neural networks (CNNs)-based facial landmark
det...
Recent works have demonstrated convolutional neural networks are vulnera...
Supervised semantic segmentation normally assumes the test data being in...
Image denoising is the process of removing noise from noisy images, whic...
We present a new method for improving the performances of variational
au...
One issue with computer based histopathology image analysis is that the ...
Single image defogging is a classical and challenging problem in compute...
Building on crucial insights into the determining factors of the visual
...
In this paper, we introduce deep learning technology to tackle two
tradi...
We present a novel method for constructing Variational Autoencoder (VAE)...
A popular approach to semantic image understanding is to manually tag im...
We present a method for discovering and exploiting object specific deep
...