High dynamic range (HDR) imaging is a highly challenging task since a la...
As demands for high-quality videos continue to rise, high-resolution and...
There have been many image denoisers using deep neural networks, which
o...
Recent deep-learning-based video compression methods brought coding gain...
Single-image super-resolution (SISR) networks trained with perceptual an...
There have been numerous image restoration methods based on deep
convolu...
This paper presents a new variational inference framework for image
rest...
The goal of face reenactment is to transfer a target expression and head...
Recent studies have significantly enhanced the performance of single-ima...
In hash-based image retrieval systems, the transformed input from the
or...
Predicting the pose of an object is a core computer vision task. Most de...
Recent learning-based lossless image compression methods encode an image...
Supervised deep learning-based hash and vector quantization are enabling...
Face image retrieval, which searches for images of the same identity fro...
The recent progress of deep convolutional neural networks has enabled gr...
Convolutional neural networks (CNNs) have shown outstanding performance ...
Image denoising is an essential part of many image processing and comput...
Convolutional neural networks (CNNs) have shown dramatic improvements in...
Learning to hash has achieved great success in image retrieval due to it...
Real-noise denoising is a challenging task because the statistics of
rea...
This paper presents a method for automatic video object segmentation bas...
Recently, many convolutional neural networks for single image
super-reso...
We propose a new semi-supervised learning method on face-related tasks b...
We propose a new semi-supervised learning method on face-related tasks b...
We present a new handwritten text segmentation method by training a
conv...
This paper presents a new framework for jointly enhancing the resolution...
Deep neural networks are widely used and exhibit excellent performance i...
Since the convolutional neural network (CNN) is be- lieved to find right...
This paper presents an algorithm that enhances undesirably illuminated i...
This paper presents a co-salient object detection method to find common
...
There have been many discriminative learning methods using convolutional...
There are two main streams in up-to-date image denoising algorithms:
non...
The inception network has been shown to provide good performance on imag...