World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6305
World Ranking
11573
National Ranking
1432

Overview

Yanyun Qu is affiliated with Xiamen University in China and focuses on research primarily in the fields of Computer Science and Engineering. Their work spans several subfields, most notably Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics, and Geology.

Their main research topics include:

  • Advanced Image Processing Techniques
  • Advanced Neural Network Applications
  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Image and Signal Denoising Methods
  • 3D Surveying and Cultural Heritage
  • Video Surveillance and Tracking Methods

Yanyun Qu has published extensively, with notable papers including:

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study, 2020, IEEE Transactions on Image Processing
  • Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Joint Deep Multi-View Learning for Image Clustering, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Robust Kernelized Multiview Self-Representation for Subspace Clustering, 2020, IEEE Transactions on Neural Networks and Learning Systems

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • Proceedings of the 30th ACM International Conference on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Yanyun Qu collaborates regularly with several co-authors, including:

  • Yuan Xie
  • Zhizhong Zhang
  • Lizhuang Ma
  • Yachao Zhang
  • Xiaotong Luo

Best Publications

  • Contrastive Learning for Compact Single Image Dehazing

    Haiyan Wu;Yanyun Qu;Shaohui Lin;Jian Zhou

  • Enhanced Pix2pix Dehazing Network

    Yanyun Qu;Yizi Chen;Jingying Huang;Yuan Xie

  • On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization

    Yuan Xie;Dacheng Tao;Wensheng Zhang;Yan Liu

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block

    Xiaotong Luo;Yuan Xie;Yulun Zhang;Yanyun Qu

  • Distilling Image Dehazing With Heterogeneous Task Imitation

    Ming Hong;Yuan Xie;Cuihua Li;Yanyun Qu

  • Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten $p$ -Norm Minimization

    Yuan Xie;Yanyun Qu;Dacheng Tao;Weiwei Wu

  • Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning

    Yuan Xie;Wensheng Zhang;Yanyun Qu;Longquan Dai

  • Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification

    Xudong Tian;Zhizhong Zhang;Shaohui Lin;Yanyun Qu

  • Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation

    Yachao Zhang;Yanyun Qu;Yuan Xie;Zonghao Li

  • Discriminative Object Tracking via Sparse Representation and Online Dictionary Learning

    Yuan Xie;Wensheng Zhang;Cuihua Li;Shuyang Lin

  • Joint Deep Multi-View Learning for Image Clustering

    Yuan Xie;Bingqian Lin;Yanyun Qu;Cuihua Li

  • Unifying visual saliency with HOG feature learning for traffic sign detection

    Yuan Xie;Li-Feng Liu;Cui-Hua Li;Yan-Yun Qu

  • NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

    Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang

  • Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud.

    Yachao Zhang;Zhonghao Li;Yuan Xie;Yanyun Qu

  • Trident Dehazing Network

    Jing Liu;Haiyan Wu;Yuan Xie;Yanyun Qu

  • Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network

    Xiaoli Yu;Yanyun Qu;Ming Hong

  • NTIRE 2020 challenge on nonhomogeneous dehazing

    Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte

  • En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning

    Unknown

  • NTIRE 2021 NonHomogeneous Dehazing Challenge Report

    Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte

  • Robust Kernelized Multiview Self-Representation for Subspace Clustering

    Yuan Xie;Jinyan Liu;Yanyun Qu;Dacheng Tao

  • AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

    Kai Zhang;Martin Danelljan;Yawei Li;Radu Timofte

  • AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

    Kai Zhang;Martin Danelljan;Yawei Li;Radu Timofte

Frequent Co-Authors

Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Lizhuang Ma
Lizhuang Ma Shanghai Jiao Tong University
Wensheng Zhang
Wensheng Zhang Iowa State University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Radu Timofte
Radu Timofte University of Wurzburg
Hanzi Wang
Hanzi Wang Xiamen University
Jianping Fan
Jianping Fan University of North Carolina at Charlotte
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Vishal Monga
Vishal Monga Pennsylvania State University

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