World's Best Scientists 2026 revealed!

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Computer Science

D-Index
35
Citations
5679
World Ranking
11638
National Ranking
1438

Overview

Wei An is affiliated with the National University of Defense Technology in China. Their research primarily spans the fields of engineering and computer science, with a focus on subfields such as computer vision and pattern recognition, aerospace engineering, electrical and electronic engineering, media technology, and mechanics of materials.

The scientist's extensive work covers core topics including infrared target detection methodologies, advanced image processing techniques, advanced vision and imaging, remote-sensing image classification, advanced neural network applications, video surveillance and tracking methods, and advanced image and video retrieval techniques.

Wei An has collaborated frequently with several co-authors, including Yingqian Wang, Longguang Wang, Jungang Yang, Chao Xiao, and Zaiping Lin. Their publication record is distributed across prominent venues such as IEEE Transactions on Geoscience and Remote Sensing, arXiv (Cornell University), Journal of Physics Conference Series, IEEE Transactions on Pattern Analysis and Machine Intelligence, and IEEE Geoscience and Remote Sensing Letters.

Some recent papers authored by Wei An include:

  • Dense Nested Attention Network for Infrared Small Target Detection (2022, IEEE Transactions on Image Processing)
  • Infrared Dim and Small Target Detection via Multiple Subspace Learning and Spatial-Temporal Patch-Tensor Model (2020, IEEE Transactions on Geoscience and Remote Sensing)
  • Deep Video Super-Resolution Using HR Optical Flow Estimation (2020, IEEE Transactions on Image Processing)
  • MTU-Net: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection (2023, IEEE Transactions on Geoscience and Remote Sensing)
  • Deformable 3D Convolution for Video Super-Resolution (2020, IEEE Signal Processing Letters)

Best Publications

  • Dense Nested Attention Network for Infrared Small Target Detection.

    Boyang Li;Chao Xiao;Longguang Wang;Yingqian Wang

  • Unsupervised Degradation Representation Learning for Blind Super-Resolution

    Longguang Wang;Yingqian Wang;Xiaoyu Dong;Qingyu Xu

  • 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

  • Infrared Dim and Small Target Detection via Multiple Subspace Learning and Spatial-Temporal Patch-Tensor Model

    Yang Sun;Jungang Yang;Wei An

  • Light Field Image Super-Resolution Using Deformable Convolution

    Yingqian Wang;Jungang Yang;Longguang Wang;Xinyi Ying

  • Spatial-Angular Interaction for Light Field Image Super-Resolution

    Yingqian Wang;Longguang Wang;Jungang Yang;Wei An

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

    Chao Ma;Yulan Guo;Jungang Yang;Wei An

  • Deep Video Super-Resolution Using HR Optical Flow Estimation

    Longguang Wang;Yulan Guo;Li Liu;Zaiping Lin

  • Deformable 3D Convolution for Video Super-Resolution

    Xinyi Ying;Longguang Wang;Yingqian Wang;Weidong Sheng

  • Learning a Single Network for Scale-Arbitrary Super-Resolution

    Longguang Wang;Yingqian Wang;Zaiping Lin;Jungang Yang

  • Parallax Attention for Unsupervised Stereo Correspondence Learning.

    Longguang Wang;Yulan Guo;Yingqian Wang;Zhengfa Liang

  • Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution

    Yingqian Wang;Jungang Yang;Yulan Guo;Chao Xiao

  • Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution

    Yingqian Wang;Longguang Wang;Jungang Yang;Wei An

  • Occlusion-Aware Cost Constructor for Light Field Depth Estimation

    Unknown

  • A Stereo Attention Module for Stereo Image Super-Resolution

    Xinyi Ying;Yingqian Wang;Longguang Wang;Weidong Sheng

  • Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark

    Qian Yin;Qingyong Hu;Hao Liu;Feng Zhang

  • A Constrained Sparse Representation Model for Hyperspectral Anomaly Detection

    Qiang Ling;Yulan Guo;Zaiping Lin;Wei An

  • Symmetric Parallax Attention for Stereo Image Super-Resolution

    Yingqian Wang;Xinyi Ying;Longguang Wang;Jungang Yang

  • Learning for Video Super-Resolution through HR Optical Flow Estimation

    Longguang Wang;Yulan Guo;Zaiping Lin;Xinpu Deng

  • Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection

    Ting Liu;Jungang Yang;Boyang Li;Chao Xiao

  • DeOccNet: Learning to See Through Foreground Occlusions in Light Fields

    Yingqian Wang;Tianhao Wu;Jungang Yang;Longguang Wang

Frequent Co-Authors

Yulan Guo
Yulan Guo Sun Yat-sen University
Jingyi Yu
Jingyi Yu ShanghaiTech University
Jonathan Li
Jonathan Li University of Waterloo

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