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  • DeepQTMT: A Deep Learning A... DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of Intra-mode VVC
    Li, Tianyi; Xu, Mai; Tang, Runzhi ... IEEE transactions on image processing, 01/2021, Volume: 30
    Journal Article
    Peer reviewed
    Open access

    Versatile Video Coding (VVC), as the latest standard, significantly improves the coding efficiency over its predecessor standard High Efficiency Video Coding (HEVC), but at the expense of sharply ...
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2.
  • MFQE 2.0: A New Approach fo... MFQE 2.0: A New Approach for Multi-Frame Quality Enhancement on Compressed Video
    Guan, Zhenyu; Xing, Qunliang; Xu, Mai ... IEEE transactions on pattern analysis and machine intelligence, 2021-March-1, 2021-Mar, 2021-3-1, 20210301, Volume: 43, Issue: 3
    Journal Article
    Peer reviewed

    The past few years have witnessed great success in applying deep learning to enhance the quality of compressed image/video. The existing approaches mainly focus on enhancing the quality of a single ...
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Available for: IJS, NUK, UL

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3.
  • DAQE: Enhancing the Quality... DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus
    Xing, Qunliang; Xu, Mai; Deng, Xin ... IEEE transactions on pattern analysis and machine intelligence, 2023-Aug., 2023-Aug, 2023-8-00, 20230801, Volume: 45, Issue: 8
    Journal Article
    Peer reviewed
    Open access

    Image defocus is inherent in the physics of image formation caused by the optical aberration of lenses, providing plentiful information on image quality. Unfortunately, existing quality enhancement ...
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Available for: IJS, NUK, UL
4.
  • DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus
    Xing, Qunliang; Xu, Mai; Deng, Xin ... arXiv (Cornell University), 03/2023
    Paper, Journal Article
    Open access

    Image defocus is inherent in the physics of image formation caused by the optical aberration of lenses, providing plentiful information on image quality. Unfortunately, existing quality enhancement ...
Full text
Available for: NUK, UL, UM, UPUK
5.
  • Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
    Xing, Qunliang; Xu, Mai; Li, Shengxi ... arXiv (Cornell University), 03/2024
    Paper, Journal Article
    Open access

    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 ...
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6.
  • Progressive Training of A Two-Stage Framework for Video Restoration
    Zheng, Meisong; Xing, Qunliang; Qiao, Minglang ... 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022-June
    Conference Proceeding

    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, ...
Full text
Available for: IJS, NUK, UL, UM
7.
  • DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of Intra-mode VVC
    Li, Tianyi; Xu, Mai; Tang, Runzhi ... arXiv.org, 06/2021
    Paper, Journal Article
    Open access

    Versatile Video Coding (VVC), as the latest standard, significantly improves the coding efficiency over its ancestor standard High Efficiency Video Coding (HEVC), but at the expense of sharply ...
Full text
Available for: NUK, UL, UM, UPUK
8.
  • Progressive Training of A Two-Stage Framework for Video Restoration
    Zheng, Meisong; Xing, Qunliang; Qiao, Minglang ... arXiv (Cornell University), 02/2023
    Paper, Journal Article
    Open access

    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, ...
Full text
Available for: NUK, UL, UM, UPUK
9.
  • Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
    Xing, Qunliang; Xu, Mai; Li, Tianyi ... arXiv.org, 10/2020
    Paper, Journal Article
    Open access

    Lossy image compression is pervasively conducted to save communication bandwidth, resulting in undesirable compression artifacts. Recently, extensive approaches have been proposed to reduce image ...
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Available for: NUK, UL, UM, UPUK
10.
  • NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
    Yang, Ren; Timofte, Radu; Zheng, Meisong ... 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022-June
    Conference Proceeding
    Open access

    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 ...
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Available for: IJS, NUK, UL, UM
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