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Deep learning-based magnetic resonance image super-resolution: a survey

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  1. Article

    Open Access

    Joint self-supervised and reference-guided learning for depth inpainting

    Depth information can benefit various computer vision tasks on both images and videos. However, depth maps may suffer from invalid values in many pixels, and also large holes. To improve such data, we propose ...

    Heng Wu, Kui Fu, Yifan Zhao, Haokun Song, Jia Li in Computational Visual Media (2022)

  2. Chapter and Conference Paper

    Incentive Mechanism for Cooperative Intrusion Response: A Dynamic Game Approach

    Yunchuan Guo, **ao Wang, Liang Fang, Yongjun Li in Computational Science – ICCS 2019 (2019)

  3. Article

    Open Access

    The research about high-dynamic and low-gray target image differential capture technology based on laser active detection

    The extraction and capture of the target by the medium-long wave infrared optical system is mainly achieved based on the gray difference between the target image and the background image. Under complex backgro...

    Zhaobing Chen, Ning Chen, Kui Shi in EURASIP Journal on Image and Video Process… (2018)

  4. Chapter and Conference Paper

    Crack Detection for Concrete Architecture Images Using Feature Enhancement Filtering and Shape Guided Active Contour Model

    Accurate and automatic crack detection for concrete architecture images is quite important and challenging. A joint crack detection model is presented in this paper, integrating the nonlocal means model for t...

    **aomin **e, Tingting Wang, Bo Liu, Kui Li in Pattern Recognition and Computer Vision (2018)

  5. Chapter and Conference Paper

    Fine-Grained Visual Categorization Using Meta-learning Optimization with Sample Selection of Auxiliary Data

    Fine-grained visual categorization (FGVC) is challenging due in part to the fact that it is often difficult to acquire an enough number of training samples. To employ large models for FGVC without suffering fr...

    Yabin Zhang, Hui Tang, Kui Jia in Computer Vision – ECCV 2018 (2018)

  6. Chapter and Conference Paper

    Influence Evaluation for Image Tampering Using Saliency Mechanism

    Due to the immediacy and the easy way to understand the image content, the applications of digital image have brought great opportunity to the development of social networks. However, there exist some serious ...

    Kui Ye, **aobo Sun, **dong Xu, **g Dong, Tieniu Tan in Computer Vision (2017)

  7. Chapter and Conference Paper

    Image Forgery Detection Based on Semantic Image Understanding

    Image forensics has been focusing on low-level visual features, paying little attention to high-level semantic information of the image. In this work, we propose the framework for image forgery detection based...

    Kui Ye, **g Dong, Wei Wang, **dong Xu, Tieniu Tan in Computer Vision (2017)

  8. Chapter and Conference Paper

    One Simple Virtual Avatar System Based on Single Image

    To establish virtual avatar systems at the computing environments with limited resources, we design such a system based on single image which can generate speech animation with different facial expressions. Fi...

    Lanfang Dong, Jianfu Wang, Kui Ni, Yatao Wang, **an Wu, Mingxue Xu in Image and Graphics (2015)

  9. Chapter and Conference Paper

    Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition

    We investigate the problem of finding the correspondence from multiple images, which is a challenging combinatorial problem. In this work, we propose a robust solution by exploiting the priors that the rank of...

    Zinan Zeng, Tsung-Han Chan, Kui Jia, Dong Xu in Computer Vision – ECCV 2012 (2012)

  10. Chapter and Conference Paper

    Towards Optimal Design of Time and Color Multiplexing Codes

    Multiplexed illumination has been proved to be valuable and beneficial, in terms of noise reduction, in wide applications of computer vision and graphics, provided that the limitations of photon noise and satu...

    Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, Yi Ma in Computer Vision – ECCV 2012 (2012)

  11. Chapter and Conference Paper

    A Fast Motion Estimation Algorithm Based on Diamond and Simplified Square Search Patterns

    Based on the directional characteristic of SAD(Sum of Absolute Difference) distribution and the center-biased characteristic of motion vectors, a fast BMA(block-matching motion estimation algorithm), DSSS(Diam...

    Yun Cheng, Kui Dai, Zhiying Wang in Progress in Pattern Recognition, Image Ana… (2005)

  12. Chapter and Conference Paper

    A Theoretical Foundation and a Method for Document Table Structure Extraction and Decompositon

    The algorithm described in this paper is designed to detect potential table regions in the document, to decide whether a potential table region is, in fact, a table, and, when it is, to analyze the table struc...

    Howard Wasserman, Keitaro Yukawa, Bon Sy, Kui-Lam Kwok in Document Analysis Systems V (2002)