8 citations · 37 across the 10 of their papers we have counts for
10 papers
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge
Ke Chen, Liangyan Li, Huan Liu +3
Stereo Image Super-Resolution (stereoSR) has attracted significant attention in recent years due to the extensive deployment of dual cameras in mobile phones, autonomous vehicles a…
A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer
Yangyi Liu, Huan Liu, Liangyan Li +2
Recent years have witnessed an increased interest in image dehazing. Many deep learning methods have been proposed to tackle this challenge, and have made significant accomplishmen…
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank
Shirui Huang, Keyan Wang, Huan Liu +2
Despite the remarkable achievement of recent underwater image restoration techniques, the lack of labeled data has become a major hurdle for further progress. In this work, we prop…
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…
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
Huan Liu, Li Gu, Zhixiang Chi +4
Few-shot class-incremental learning (FSCIL) has been proposed aiming to enable a deep learning system to incrementally learn new classes with limited data. Recently, a pioneer clai…
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…
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…
Indirect Domain Shift for Single Image Dehazing
Huan Liu, Jun Chen
Despite their remarkable expressibility, convolution neural networks (CNNs) still fall short of delivering satisfactory results on single image dehazing, especially in terms of fai…