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Huaida Liu - IEEE Xplore Author Profile
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Huaida Liu

Publications
4
Citations
32
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (81)
Image of author Huaida Liu

Huaida Liu

Affiliation

Beihang University

Publication Topics

Biography

Huaida Liu received the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, China. His research interests include image and video processing.(Based on document published on 9 August 2021).
Publications
4
Citations
32
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (81)
Author's Published Works

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Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain

Qunliang Xing;Mai Xu;Shengxi Li;Xin Deng;Meisong Zheng;Huaida Liu;Ying Chen

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2024 | Conference Paper |
Existing quality enhancement methods for compressed images focus on aligning the enhancement domain with the raw domain to yield realistic images. However, these methods exhibit a pervasive enhancement bias towards the compression domain, inadvertently regarding it as more realistic than the raw domain. This bias makes enhanced images closely resemble their compressed counterparts, thus degrading ...Show More

Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain

Qunliang Xing;Mai Xu;Shengxi Li;Xin Deng;Meisong Zheng;Huaida Liu;Ying Chen

Year: 2024 | Conference Paper |

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results

Ren Yang;Radu Timofte;Meisong Zheng;Qunliang Xing;Minglang Qiao;Mai Xu;Lai Jiang;Huaida Liu;Ying Chen;Youcheng Ben;Xiao Zhou;Chen Fu;Pei Cheng;Gang Yu;Junyi Li;Renlong Wu;Zhilu Zhang;Wei Shang;Zhengyao Lv;Yunjin Chen;Mingcai Zhou;Dongwei Ren;Kai Zhang;Wangmeng Zuo;Pavel Ostyakov;Vyal Dmitry;Shakarim Soltanayev;Chervontsev Sergey;Zhussip Magauiya;Xueyi Zou;Youliang Yan;Pablo Navarrete Michelini;Yunhua Lu;Diankai Zhang;Shaoli Liu;Si Gao;Biao Wu;Chengjian Zheng;Xiaofeng Zhang;Kaidi Lu;Ning Wang;Thuong Nguyen Canh;Thong Bach;Qing Wang;Xiaopeng Sun;Haoyu Ma;Shijie Zhao;Junlin Li;Liangbin Xie;Shuwei Shi;Yujiu Yang;Xintao Wang;Jinjin Gu;Chao Dong;Xiaodi Shi;Chunmei Nian;Dong Jiang;Jucai Lin;Zhihuai Xie;Mao Ye;Dengyan Luo;Liuhan Peng;Shengjie Chen;Xin Liu;Qian Wang;Xin Liu;Boyang Liang;Hang Dong;Yuhao Huang;Kai Chen;Xingbei Guo;Yujing Sun;Huilei Wu;Pengxu Wei;Yulin Huang;Junying Chen;Ik Hyun Lee;Sunder Ali Khowaja;Jiseok Yoon

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (22)
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the LDV dataset (240 videos) and 95 additional videos. This challenge includes three tracks. Track 1 aims at enhancing the videos compressed by HEVC at a fixed QP. Track 2 and Track 3 target both the super-resolution and qua...Show More

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results

Ren Yang;Radu Timofte;Meisong Zheng;Qunliang Xing;Minglang Qiao;Mai Xu;Lai Jiang;Huaida Liu;Ying Chen;Youcheng Ben;Xiao Zhou;Chen Fu;Pei Cheng;Gang Yu;Junyi Li;Renlong Wu;Zhilu Zhang;Wei Shang;Zhengyao Lv;Yunjin Chen;Mingcai Zhou;Dongwei Ren;Kai Zhang;Wangmeng Zuo;Pavel Ostyakov;Vyal Dmitry;Shakarim Soltanayev;Chervontsev Sergey;Zhussip Magauiya;Xueyi Zou;Youliang Yan;Pablo Navarrete Michelini;Yunhua Lu;Diankai Zhang;Shaoli Liu;Si Gao;Biao Wu;Chengjian Zheng;Xiaofeng Zhang;Kaidi Lu;Ning Wang;Thuong Nguyen Canh;Thong Bach;Qing Wang;Xiaopeng Sun;Haoyu Ma;Shijie Zhao;Junlin Li;Liangbin Xie;Shuwei Shi;Yujiu Yang;Xintao Wang;Jinjin Gu;Chao Dong;Xiaodi Shi;Chunmei Nian;Dong Jiang;Jucai Lin;Zhihuai Xie;Mao Ye;Dengyan Luo;Liuhan Peng;Shengjie Chen;Xin Liu;Qian Wang;Xin Liu;Boyang Liang;Hang Dong;Yuhao Huang;Kai Chen;Xingbei Guo;Yujing Sun;Huilei Wu;Pengxu Wei;Yulin Huang;Junying Chen;Ik Hyun Lee;Sunder Ali Khowaja;Jiseok Yoon

Year: 2022 | Conference Paper |

Progressive Training of A Two-Stage Framework for Video Restoration

Meisong Zheng;Qunliang Xing;Minglang Qiao;Mai Xu;Lai Jiang;Huaida Liu;Ying Chen

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
As a widely studied task, video restoration aims to enhance the quality of the videos with multiple potential degradations, such as noises, blurs and compression artifacts. Among video restorations, compressed video quality enhancement and video super-resolution are two of the main tacks with significant values in practical scenarios. Recently, recurrent neural networks and transformers attract in...Show More

Progressive Training of A Two-Stage Framework for Video Restoration

Meisong Zheng;Qunliang Xing;Minglang Qiao;Mai Xu;Lai Jiang;Huaida Liu;Ying Chen

Year: 2022 | Conference Paper |

MRS-Net+ for Enhancing Face Quality of Compressed Videos

Tie Liu;Mai Xu;Shengxi Li;Rui Ding;Huaida Liu

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2022 | Volume: 32, Issue: 5 | Journal Article |
Cited by: Papers (5)
During the past few years, face videos, e.g., video conference, interviews and variety shows, have grown explosively with millions of users over social media networks. Unfortunately, the existing compression algorithms are applied to these videos for reducing bandwidth, which also bring annoying artifacts to face regions. This paper addresses the problem of face quality enhancement in compressed v...Show More

MRS-Net+ for Enhancing Face Quality of Compressed Videos

Tie Liu;Mai Xu;Shengxi Li;Rui Ding;Huaida Liu

Year: 2022 | Volume: 32, Issue: 5 | Journal Article |

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