Xiaoheng Jiang



jxiaoheng@gmail.com
jiangxiaoheng@zzu.edu.cn

[GitHub] [DBLP]
[Google Scholar]
[Zhengzhou Univ.]


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Welcome to Xiaoheng Jiang (姜晓恒)'s Homepage


2018/01-now, I am an associate professor at School of Information Engineering, Zhengzhou University (ZZU), Zhengzhou, China.
2017/07-2017.12, I worked as a Lecturer at School of Information Engineering, Zhengzhou University (ZZU), Zhengzhou, China.
2013/09-2017/06, I was a Ph.D student at School of Electrical and Information Engineering, Tianjin University (TJU), Tianjin, China, under the supervision of Prof. Yanwei Pang.
2010/09-2013/07, I was a M.S student at School of Electrical and Information Engineering, Tianjin University (TJU), Tianjin, China, under the supervision of Prof. Yanwei Pang.
2005/09-2010/07, I was a B.S student at School of Electrical and Information Engineering, Tianjin University (TJU), Tianjin, China, my thesis is supervised by Prof. Yanwei Pang.


Research Interests:

    Computer Vision, Deep Learning, particularly in the domains of

  • Image classification and object detection: small object detection
  • Crowd analysis: crowd counting


Recent News:

  • 2020/03 -- one papers was accepted by CVPR, July 16-18, 2020.


Publications:

  • Jiang Xiaoheng, Zhang Li, Xu Mingliang, Zhang Tianzhu, Lv Pei, Zhou Bing, Yang Xin, Pang Yanwei. Attention scaling for crowd counting. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2020. CCF-A类会议
  • Jiang Xiaoheng, Li Zhang, Pei Lv, Bing Zhou, Yanwei Pang, Mingliang Xu, Learning Multi-Level Density Maps for Crowd Counting, IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 31(8): 2705-2715,2020(中科院SCI 1区)
  • Jiang Xiaoheng, Zhang Li, Zhang Tianzhu, Lv Pei, Zhou Bing, Pang Yanwei, Xu Mingliang, Xu Changsheng. Density-aware multi-task learning for crowd counting. IEEE Transactions on Multimedia (TMM), DOI: 10.1109/TMM.2020.2980945.(中科院SCI 1区)
  • Jiang Xiaoheng, Yanwei Pang, Manli Sun, Xuelong Li. Cascaded Subpatch Networks for Effective CNNs. IEEE Transactions on Neural Networks and Learning Systems(TNNLS)29 (7), 2684-2694, 2018 (中科院SCI 1区)
  • Jiang Xiaoheng, Yanwei Pang, Xuelong Li, Jing Pan, Deep Neural Networks with Elastic Rectified Linear Units for Object Recognition, Neurocomputing 275: 1132-1139, 2018(中科院SCI 2区)
  • Jiang Xiaoheng, Yanwei Pang, Xuelong Li, Jing Pan. Speed up deep neural network based pedestrian detection by sharing features across multi-scale models. Neurocomputing 185: 163-170, 2016(中科院SCI 2区)
  • Jiang Xiaoheng, Yanwei Pang, Jing Pan, Xuelong Li. Flexible sliding windows with adaptive pixel strides. Signal Processing 110: 37-45, 2015 (中科院SCI 2区)
  • Mingliang Xu, Zhaoyang Ge, Jiang Xiaoheng (Corresponding Autor), Pei Lv, Yanwei Pang, Bing Zhou, Depth Information Guided Crowd Counting for Complex Crowd Scenes, Pattern Recognition Letters, 125: 563-569, 2019(中科院SCI 3区)
  • Lisha Cui, Pei Lv, Jiang Xiaoheng, Zhimin Gao, Bing Zhou, Luming Zhang, Ling Shao, Mingliang Xu, Context-Aware Block Net for Small Object Detection, DOI: 10.1109/TCYB.2020.3004636, IEEE Transactions on Cybernetics (中科院SCI 1区)
  • Lisha Cui, Rui Ma, Pei Lv, Jiang Xiaoheng, Zhimin Gao, Bing Zhou, Mingliang Xu. MDSSD: multi-scale deconvolutional single shot detector for small objects, SCIENCE CHINA Information Sciences,63(2): 120113, 2020 (中科院SCI 2区)


Projects:


Attention Scaling for Crowd Counting CVPR, 2020
Jiang Xiaoheng, Zhang Li, Xu Mingliang, Zhang Tianzhu, Lv Pei, Zhou Bing, Yang Xin, Pang Yanwei.
PDF





Honors & Awards:

  • "Outstanding Graduate Student" in Tianjin University, 2017.


Professional Service:


    Reviewer
  • IEEE:
  • TNNLS,TMM
  • Elsevier:
  • Neurocomputing, PRL
  • Conference:
  • ACM MM 2020