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    Chapter and Conference Paper

    Learning from Rankings with Multi-level Features for No-Reference Image Quality Assessment

    Deep neural networks for image quality assessment have been suffering from a lack of training data for a long time, as it is expensive and laborious to collect sufficient subjective mean opinion scores (MOS). ...

    Yiqun Li, Lan Ma, Dahai Yu in Pattern Recognition and Computer Vision (2020)

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    Chapter and Conference Paper

    UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

    This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-collected database of Under-Dis...

    Yuqian Zhou, Michael Kwan, Kyle Tolentino in Computer Vision – ECCV 2020 Workshops (2020)

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    Chapter and Conference Paper

    HTCN: Harmonious Text Colorization Network for Visual-Textual Presentation Design

    The selection of text color is a time-consuming and important aspect in the designing of visual-textual presentation layout. In this paper, we propose a novel deep neural network architecture for predicting te...

    Xuyong Yang, **aobin Xu, Yaohong Huang in Pattern Recognition and Computer Vision (2021)

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    Chapter and Conference Paper

    Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report

    Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions have been proposed for this prob...

    Andrey Ignatov, Radu Timofte, Maurizio Denna in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    Affinity-Aware Relation Network for Oriented Object Detection in Aerial Images

    Object detection in aerial images is a challenging task due to the oriented and densely packed objects. However, densely packed objects constitute a significant characteristic of aerial images: objects are not...

    Tingting Fang, Bin Liu, Zhiwei Zhao, Qi Chu, Nenghai Yu in Computer Vision – ACCV 2022 (2023)