World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8522
World Ranking
6519
National Ranking
873

Overview

Mai Xu is affiliated with Beihang University in China and specializes in computer science, with a strong focus on computer vision and pattern recognition. They have contributed extensively to subfields such as media technology, radiology, nuclear medicine and imaging, artificial intelligence, and signal processing.

The main topics of Mai Xu's research include advanced image processing techniques, image and video quality assessment, visual attention and saliency detection, advanced vision and imaging, image and signal denoising methods, advanced data compression techniques, and retinal imaging and analysis.

Mai Xu has authored numerous papers published in prominent venues, reflecting their active role in advancing their field. Notable recent publications include:

  • State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression (2020), IEEE Journal of Selected Topics in Signal Processing
  • DeepMIH: Deep Invertible Network for Multiple Image Hiding (2022), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • DeepQTMT: A Deep Learning Approach for Fast QTMT-Based CU Partition of Intra-Mode VVC (2021), IEEE Transactions on Image Processing
  • Domain Adaptation for Underwater Image Enhancement (2023), IEEE Transactions on Image Processing
  • Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution (2021), IEEE Transactions on Image Processing

Mai Xu frequently publishes in specialized and high-impact journals. Their primary publication venues include:

  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia

The scientist collaborates regularly with several coauthors, reflecting interdisciplinary and collective research efforts. Frequent coauthors include:

  • Xin Deng
  • Lai Jiang
  • Shengxi Li
  • Zulin Wang
  • Zhenyu Guan

Mai Xu's work is rooted in the areas of signal processing and image analysis, focusing on enhancing both the quality and computational methods for visual data. They have contributed to methodologies involving video/image perception, compression, and fusion, showing intersections with machine learning and deep learning paradigms.

Best Publications

  • Reducing Complexity of HEVC: A Deep Learning Approach

    Mai Xu;Tianyi Li;Zulin Wang;Xin Deng

  • Multi-frame Quality Enhancement for Compressed Video

    Ren Yang;Mai Xu;Zulin Wang;Tianyi Li

  • Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.

    Hanruo Liu;Liu Li;I. Michael Wormstone;Chunyan Qiao

  • State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression

    Mai Xu;Chen Li;Shanyi Zhang;Patrick Le Callet

  • A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection

    Liu Li;Mai Xu;Hanruo Liu;Yang Li

  • Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model

    Liu Li;Mai Xu;Xiaofei Wang;Lai Jiang

  • Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach

    Mai Xu;Yuhang Song;Jianyi Wang;Minglang Qiao

  • MFQE 2.0: A New Approach for Multi-Frame Quality Enhancement on Compressed Video

    Zhenyu Guan;Qunliang Xing;Mai Xu;Ren Yang

  • Road Structure Refined CNN for Road Extraction in Aerial Image

    Yanan Wei;Zulin Wang;Mai Xu

  • Enhancing Quality for HEVC Compressed Videos

    Ren Yang;Mai Xu;Tie Liu;Zulin Wang

  • DeepVS: A Deep Learning Based Video Saliency Prediction Approach

    Lai Jiang;Mai Xu;Tie Liu;Minglang Qiao

  • A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC

    Tianyi Li;Mai Xu;Ce Zhu;Ren Yang

  • A multipath routing protocol based on clustering and ant colony optimization for wireless sensor networks.

    Jing Yang;Mai Xu;Wei Zhao;Baoguo Xu

  • Domain Adaptation for Underwater Image Enhancement.

    Zhengyong Wang;Liquan Shen;Mei Yu;Kun Wang

  • A DenseNet Based Approach for Multi-frame In-loop Filter in HEVC

    Tianyi Li;Mai Xu;Ren Yang;Xiaoming Tao

  • Assessing Visual Quality of Omnidirectional Videos

    Mai Xu;Chen Li;Zhenzhong Chen;Zulin Wang

  • DeepQTMT: A Deep Learning Approach for Fast QTMT-Based CU Partition of Intra-Mode VVC

    Tianyi Li;Mai Xu;Runzhi Tang;Ying Chen

  • DeepMTT: A deep learning maneuvering target-tracking algorithm based on bidirectional LSTM network

    Jingxian Liu;Jingxian Liu;Zulin Wang;Mai Xu

  • Decoder-side HEVC quality enhancement with scalable convolutional neural network

    Ren Yang;Mai Xu;Zulin Wang

  • Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video: A Large-Scale Dataset and a Deep Learning Model

    Chen Li;Mai Xu;Xinzhe Du;Zulin Wang

  • Region-of-Interest Based Conversational HEVC Coding with Hierarchical Perception Model of Face

    Mai Xu;Xin Deng;Shengxi Li;Zulin Wang

Frequent Co-Authors

Xiaoming Tao
Xiaoming Tao Hong Kong Polytechnic University
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Thomas Lukasiewicz
Thomas Lukasiewicz University of Oxford
Liquan Shen
Liquan Shen Shanghai University
Xiaoyan Sun
Xiaoyan Sun University of Science and Technology of China
Ali Borji
Ali Borji Quintic AI
Pier Luigi Dragotti
Pier Luigi Dragotti Imperial College London
H. Vincent Poor
H. Vincent Poor Princeton University
Kanapathippillai Cumanan
Kanapathippillai Cumanan University of York
Ce Zhu
Ce Zhu University of Electronic Science and Technology of China

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