Images taken under the low-light condition often contain blur and satura...
Deblurring can not only provide visually more pleasant pictures and make...
Low-dose CT has been a key diagnostic imaging modality to reduce the
pot...
Deep neural networks have been widely used in image denoising during the...
Image quality assessment (IQA) is the key factor for the fast developmen...
Image quality assessment (IQA) is the key factor for the fast developmen...
Automatically selecting exposure bracketing (images exposed differently)...
Recovering sharp video sequence from a motion-blurred image is highly
il...
Recently, consistency-based methods have achieved state-of-the-art resul...
We present a simple and effective image super-resolution algorithm that
...
Video deblurring is a challenging task due to the spatially variant blur...
Nowadays stereo cameras are more commonly adopted in emerging devices su...
Time-of-Flight (ToF) cameras require active illumination to obtain depth...
With the developments of dual-lens camera modules,depth information
repr...
Monocular depth estimation aims at estimating a pixelwise depth map for ...
We present an algorithm to directly solve numerous image restoration pro...
Social relationships (e.g., friends, couple etc.) form the basis of the
...
In this paper, we propose a general dual convolutional neural network
(D...
Artistic style transfer can be thought as a process to generate differen...
Recently, remarkable advances have been achieved in 3D human pose estima...
Despite the recent success of stereo matching with convolutional neural
...
Previous monocular depth estimation methods take a single view and direc...
We observed that recent state-of-the-art results on single image human p...
In this paper, we introduce a bilinear composition loss function to addr...
Recent advances in visual tracking showed that deep Convolutional Neural...
Automatic speaker naming is the problem of localizing as well as identif...