16 citations · 27 across the 4 of their papers we have counts for
5 papers · 1 filter
Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network
Huan Liu, Junsong Yuan, Chen Wang +1
Despite recent improvement of supervised monocular depth estimation, the lack of high quality pixel-wise ground truth annotations has become a major hurdle for further progress. In…
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning
Yankun Yu, Huan Liu, Minghan Fu +3
Recently, there has been rapid and significant progress on image dehazing. Many deep learning based methods have shown their superb performance in handling homogeneous dehazing pro…
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing
Minghan Fu, Huan Liu, Yankun Yu +2
Hazy images are often subject to color distortion, blurring, and other visible quality degradation. Some existing CNN-based methods have great performance on removing homogeneous h…
Towards a Unified Approach to Single Image Deraining and Dehazing
Xiaohong Liu, Yongrui Ma, Zhihao Shi +2
We develop a new physical model for the rain effect and show that the well-known atmosphere scattering model (ASM) for the haze effect naturally emerges as its homogeneous continuo…
Learning for Unconstrained Space-Time Video Super-Resolution
Zhihao Shi, Xiaohong Liu, Chengqi Li +4
Recent years have seen considerable research activities devoted to video enhancement that simultaneously increases temporal frame rate and spatial resolution. However, the existing…