World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
18965
World Ranking
2570
National Ranking
347

Overview

Yulan Guo is affiliated with the National University of Defense Technology in China. Their research primarily spans the fields of computer science and engineering, with concentrated efforts in computer vision and pattern recognition, computational mechanics, aerospace engineering, media technology, and geology.

The scientist's work engages with several main topics within these disciplines, including:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Advanced Image Processing Techniques
  • 3D Surveying and Cultural Heritage
  • Image Processing Techniques and Applications
  • Remote Sensing and LiDAR Applications
  • Advanced Neural Network Applications

Yulan Guo has contributed to numerous publications, frequently publishing in venues such as arXiv (Cornell University), IEEE Transactions on Pattern Analysis and Machine Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Journal of Image and Graphics, and IEEE Signal Processing Letters.

Recent published papers include:

  • Deep Learning for 3D Point Clouds: A Survey, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Deep Video Super-Resolution Using HR Optical Flow Estimation, 2020, IEEE Transactions on Image Processing
  • Deformable 3D Convolution for Video Super-Resolution, 2020, IEEE Signal Processing Letters

Throughout their career, Yulan Guo has collaborated frequently with several coauthors, including Longguang Wang, Yingqian Wang, Qingyong Hu, Wei An, and Jungang Yang. These collaborations have contributed to advancing research in 3D data processing, image enhancement, and related computer vision tasks.

Best Publications

  • Deep Learning for 3D Point Clouds: A Survey

    Yulan Guo;Hanyun Wang;Qingyong Hu;Hao Liu

  • RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

    Qingyong Hu;Bo Yang;Linhai Xie;Stefano Rosa

  • Rotational Projection Statistics for 3D Local Surface Description and Object Recognition

    Yulan Guo;Yulan Guo;Ferdous Ahmed Sohel;Mohammed Bennamoun;Min Lu

  • Dense Nested Attention Network for Infrared Small Target Detection.

    Boyang Li;Chao Xiao;Longguang Wang;Yingqian Wang

  • 3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey

    Yulan Guo;Mohammed Bennamoun;Ferdous Ahmed Sohel;Min Lu

  • A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

    Yulan Guo;Mohammed Bennamoun;Ferdous Sohel;Min Lu

  • Geometric Transformer for Fast and Robust Point Cloud Registration

    Unknown

  • Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

    Unknown

  • Median Robust Extended Local Binary Pattern for Texture Classification

    Li Liu;Songyang Lao;Paul W. Fieguth;Yulan Guo

  • Local binary features for texture classification

    Li Liu;Paul Fieguth;Yulan Guo;Xiaogang Wang

  • Unsupervised Degradation Representation Learning for Blind Super-Resolution

    Longguang Wang;Yingqian Wang;Xiaoyu Dong;Qingyu Xu

  • Learning for Disparity Estimation Through Feature Constancy

    Zhengfa Liang;Yiliu Feng;Yulan Guo;Hengzhu Liu

  • SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

    Sheng Ao;Qingyong Hu;Bo Yang;Andrew Markham

  • Exploring Sparsity in Image Super-Resolution for Efficient Inference

    Longguang Wang;Xiaoyu Dong;Yingqian Wang;Xinyi Ying

  • Learning Parallax Attention for Stereo Image Super-Resolution

    Longguang Wang;Yingqian Wang;Zhengfa Liang;Zaiping Lin

  • Light Field Image Super-Resolution Using Deformable Convolution

    Yingqian Wang;Jungang Yang;Longguang Wang;Xinyi Ying

  • Axiom−based Grad−CAM: Towards Accurate Visualization and Explanation of CNNs

    Ruigang Fu;Qingyong Hu;Xiaohu Dong;Yulan Guo

  • Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling.

    Qingyong Hu;Bo Yang;Linhai Xie;Stefano Rosa

  • MTU-Net: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection

    Unknown

  • Semantic-Aware Domain Generalized Segmentation

    Unknown

  • Hyperspectral Image Restoration Using Low-Rank Tensor Recovery

    Haiyan Fan;Yunjin Chen;Yulan Guo;Hongyan Zhang

  • Spatial–Spectral Total Variation Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising

    Haiyan Fan;Chang Li;Yulan Guo;Gangyao Kuang

  • An Accurate and Robust Range Image Registration Algorithm for 3D Object Modeling

    Yulan Guo;Ferdous Ahmed Sohel;Mohammed Bennamoun;Jianwei Wan

  • Learning Multi-View Representation With LSTM for 3-D Shape Recognition and Retrieval

    Chao Ma;Yulan Guo;Jungang Yang;Wei An

  • An efficient 3D face recognition approach using local geometrical signatures

    Yinjie Lei;Mohammed Bennamoun;Munawar Hayat;Yulan Guo

Frequent Co-Authors

Wei An
Wei An National University of Defense Technology
Mohammed Bennamoun
Mohammed Bennamoun University of Western Australia
Ferdous Sohel
Ferdous Sohel Murdoch University
Jonathan Li
Jonathan Li University of Waterloo
Cheng Wang
Cheng Wang Xiamen University
Andrew Markham
Andrew Markham University of Oxford
Niki Trigoni
Niki Trigoni University of Oxford
Yao Zhao
Yao Zhao Beijing Jiaotong University
Wei Chen
Wei Chen National University of Singapore
Paul Fieguth
Paul Fieguth University of Waterloo

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