PeopleofSuperintelligence

Researcher

Junwei Han

Also known as Han Junwei, 韩军伟

Junwei Han is a professor in the School of Automation at Northwestern Polytechnical University, and his work spans computer vision, visual saliency and remote-sensing images. The International Association for Pattern Recognition named him a Fellow in 2022 for contributions to visual saliency computation and remote-sensing image analysis. In 2017 he co-authored NWPU-RESISC45, a benchmark of 31,500 remote-sensing images across 45 scene classes. A 2018 survey he co-wrote reviewed deep-learning methods for salient and category-specific object detection. He was one of five authors of a 2019 preprint that introduced DIOR, a benchmark for object detection in optical remote-sensing images.

Timeline

  1. 2015

    Co-saliency detection at CVPR

    He co-authors Co-Saliency Detection via Looking Deep and Wide with Dingwen Zhang, Chao Li and Jingdong Wang, a 2015 paper at the IEEE Conference on Computer Vision and Pattern Recognition.

  2. 2017

    NWPU-RESISC45 scene benchmark

    A 2017 preprint written with Gong Cheng and Xiaoqiang Lu introduces NWPU-RESISC45, a benchmark of 31,500 remote-sensing images in 45 scene classes.

  3. 2018

    Salient and category-specific detection survey

    With Dingwen Zhang, Gong Cheng, Nian Liu and Dong Xu, he surveys deep-learning methods for salient and category-specific object detection in IEEE Signal Processing Magazine in 2018.

  4. 2019

    The DIOR remote-sensing benchmark

    He co-authors a 2019 preprint with Ke Li, Gang Wan, Gong Cheng and Liqiu Meng that introduces DIOR, a benchmark of 23,463 images and 20 object classes for detection in optical remote-sensing images.

  5. 2022

    An IAPR fellowship

    In 2022 the International Association for Pattern Recognition (IAPR) names him a Fellow for work on visual saliency computation and remote-sensing image analysis.

  6. As of October 2026

    Professor at Northwestern Polytechnical

    He is a professor in the School of Automation at Northwestern Polytechnical University.

Sources and credits

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  1. Co-Saliency Detection via Looking Deep and Wide cv-foundation.org. Checked 14 October 2026.
  2. [1703.00121] Remote Sensing Image Scene Classification: Benchmark and State of the Art arxiv.org. Checked 14 October 2026.
  3. Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey pure.nwpu.edu.cn. Checked 14 October 2026.
  4. [1909.00133] Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark arxiv.org. Checked 14 October 2026.
  5. Chronological List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 14 October 2026.
  6. Junwei Han - Northwestern Polytechnical University pure.nwpu.edu.cn. Checked 14 October 2026.