Dian-Wei Wang (王殿伟)
Associate Professor (副教授)
Research Direction
研究方向
UAV Intelligent Situation Awareness, Fire Smoke Intelligent Monitoring and Early Warning, Low-Iight Image Enhancement Processing
无人机智能态势感知、火灾烟雾智能监测与预警、低光照图像增强处理

Teaching Direction
教学方向
Computer Vision and Artificial Intelligence，Digital Image Processing
计算机视觉与人工智能、数字图像处理
Xi’an University of Posts & Telecommunications(XUPT)
No.618, West Chang'an Street, Chang'an District, Xi'an 710121, China.

Email:wangdianwei@126.com

About Me

I am an associate research professor at the MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC). I received my Ph.D. degree in Biomedical Engineering from UESTC in 2016 under the supervision of Prof. Yong-Jie Li. From August 2019 to August 2020, I was a visiting scholar at the Computer Vision Lab, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland.

Research Interests

I conduct interdisciplinary research at the intersection of visual cognition and computer vision. My research aims to explore the underlying computational theory of visual cognition and develop bio-inspired methods for computer vision applications. Through a combination of computational modeling and behavioral experiments, such as eye-tracking, we investigate the computational basis of many aspects of vision, such as visual perception, visual attention, and object recognition. In addition, we also try to explore new methods for medical data analysis.

Projects and Publications

(1)Scientific research projects

  • 1、王殿伟, 2018.01~2019.12, 基于高分辨率红外热成像的复杂背景下目标信息理解技术研究（2018JM6118, 陕西省自然科学基础研究计划项目.
  • 2、王殿伟, 2023.01~2023.12, 生物视觉启发的无人机目标智能感知算法研究（2023-GHYB-04）,陕西省国际科技合作计划项目.
  • 3、王殿伟, 2023.07~2025.06, 基于无人机平台的秦岭山区火灾监测预警关键技术研究与示范（23SFSF0004）, 西安市科技局计划项目.
  • 4、王殿伟, 2022.11~2023.10, 基于无人机平台的智能环境监测系统开发（HX2022-273）, 横向课题.

    • (2) Published Papers

  • 1、王殿伟, 赵文博, 房杰等.多类场景下无人机航拍视频烟雾检测算法[J/OL].哈尔滨工业大学学报,2023:1-8.http://kns.cnkinet /kcms/detail/23.1235.T.20230404.1644.004.html.
  • 2、王殿伟, 刘旺, 房杰等.受生物视觉启发的无人机航拍低照度图像增强算法[J].西北工业大学学报, 2023,41(01):144-152.DOI: 10.1051/jnwpu/20234110144
  • 3、王殿伟, 胡里晨, 房杰等.基于改进Double-Head RCNN的无人机航拍图像小目标检测算法[J/OL].北京航空航天大学学报,2023:1-10.DOI: 10.13700/i.bh.1001-5965.2022.0591.
  • 4、王殿伟，韩鹏飞，范九伦.基于光照-反射成像模型和形态学操作的多谱段图像增强算法[J].物理学报,2018,67(21):104-114.DOI: 10.7498/aps.67.20181288
  • 5、Jie Fang, Xiaoqian, Dianwei Wang, Shengjun Xu. "Multitask Learning Mechanism for Remote Sensing Image Motion Deblurring" [J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, vol.14: 2184-2193.DOI:10.1109/JSTARS.2020.3047636

    • (3) Conferences and Working Papers

  • 1、Leilei Zhai, Dianwei Wang, Jie Fang, Zhijie Xu. "Auto-DenseNet: DenseNet OptimizationMethod Based on Evolutionary Algorithm”(C] //2022 5th International Conference on IntelligentAutonomous Systems (lColAS). IEEE, 2022: 387-393.DOI: 10.1109/1ClAS56028.2022.9931240.
  • 2、Jinghuan ie, Dianwei Wang, Jiahuai Guo, et al.“An Anchor-free Detector Based on ResidualFeature Enhancememt Pyramid Network for UAV Vehicle Detection”[C] //2021 4th InternationalConference on Artificial Intelligence and Pattern Recognition. 2021: 287-294. DOI:10.1145/3488933.3488936.
  • 3、Yuhuan Zheng, Dianwei Wang, Pengfei Han, et al. “An Unmanned Aeria/ Vehicle Video ObjectTracking Algorithm Based on Siamese Attention Network[C] //2021 International Conference onArtificial lntelligence and Pattern Recognition. 2021: 1-8. DOI: 10.1145/3488933. 3488934.
  • 4、Shu Wang, Dianwei Wang, Pengfei Han, et al. “Text Recognition in UAV Aerial lmages”(C]1/2021 International Conference on Artificial lntelligence and Pattern Recognition. 2021: 232-238. DOI:10.1145/3488933.3488935
  • 5、Dianwei Wang, Weichao Yan, Tingge Zhu, et al. "An Adaptive Correction Algorithm 1or Non.Uniform llumination Panoramic lmages Based on The lmproved Bilateral Gamma Function"(C] //2017International Conference on Digital lmage Computing: Techniques and Applications (DICTA). IEEE2017: 1-6.DOI: 10.1109/DICTA.2017.8227404.