most citedA Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning

5 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20224 cited

Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022

Li Gu, Zhixiang Chi, Huan Liu +2

In this work, we present the winning solution for ORBIT Few-Shot Video Object Recognition Challenge 2022. Built upon the ProtoNet baseline, the performance of our method is improve…

cs.CV2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li, Kai Zhang, Radu Timofte +108

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…

cs.CV20215 cited

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…

eess.IV20215 cited

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…

eess.IV2021

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…