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石恒璨

2014级

智能视觉信息处理与通信实验室

shihc@std.uestc.edu.cn

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个人简介:

石恒璨2014年获得电子科技大学电子与信息工程学士学位,目前在李宏亮教授的指导下攻读博士学位。

他的研究兴趣包括图像分割、场景分析、机器学习和视觉与语言。



研究方向:
图像分割、场景分析、机器学习、视觉与语言

论文成果:
  • 1.Hengcan Shi, Hongliang Li, Qingbo Wu and Zichen Song,“Scene Parsing via Integrated Classification Model and Variance-Based Regularization,”IEEE Conference on Computer Vision and Pattern Recognition. Long Beach, the U.S. June 16-20, 2019. (Accepted)
  • 2.Heqian Qiu, Hongliang Li,Qingbo Wu,Fanman Meng,King Ngi Ngan,Hengcan Shi,” A2RMNet: Adaptively Aspect Ratio Multi-Scale Network for Object Detection in Remote Sensing Images”, Remote Sensing, Vol.11(13), p.1594, 01 July 2019.
  • 3.Hengcan Shi, Hongliang Li, Fanman Meng, Qingbo Wu, Linfeng Xu, King N. Ngan, "Hierarchical Parsing Net: Semantic Scene Parsing from Global Scene to Objects", IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2670 - 2682, 2018.
  • 4.Hengcan Shi, Hongliang Li, Qingbo Wu, Fanman Meng, and King Ngi Ngan, “Boosting scene parsing performance via reliable scale prediction,” 26th ACM international conference on Multimedia. Seoul, Korea, October 22 - 26, 2018.
  • 5.Hengcan Shi, Hongliang Li, Fanman Meng, Qingbo Wu, “Key-Word-Aware Network for Referring Expression Image Segmentation”, 15th European Conference on Computer Vision, Munich, Germany, September 8 -14, 2018.
  • 6.Yinan Liu, Qingbo Wu, Liangzhi Tang, and Hengcan Shi, "Gaze-Assisted Multi-Stream Deep Neural Network for Action Recognition", IEEE Access, vol. 5, pp. 19432-19441, Sept. 2017.
  • 7.Wei Li, Hongliang Li, Bing Luo, Hengcan Shi, Qingbo Wu, and King N. Ngan, "Improving Object Proposals with Top-down Cues", Signal Processing: Image Communication, vol. 56, pp. 20–27, Aug. 2017.


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