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许林峰

副教授

智能视觉信息处理实验室

lfxu@uestc.edu.cn

English Version
个人简介:

    许林峰2014年6月毕业于电子科技大学,获信号与信息处理博士学位;2014年12月至2015年12月在美国纽约州立大学布法罗分校从事访问学者研究工作。2015年晋升副教授。2014年入选四川省青年科技创新团队。目前的主要研究兴趣包括:数字图像处理与视频分析,视觉注意力,模式识别,多媒体通信。 

    长期从事数字图像与视频处理、智能媒体认知、视觉信息处理领域的研究工作。在人眼注意力建模、图像显著性检测、媒体处理应用等方面取得了创新性的研究成果。先后在国内外一些著名的期刊和会议上发表学术论文30余篇,其中SCI论文26篇;EI论文30篇。参与了国家自然科学基金,“863”计划,新世纪优秀人才支持计划项目,以及教育部博士点基金等项目的研究工作。担任IEEE ISPACS 2010、IEEE VCIP 2016执行主席,是IEEE Trans. Image Process.等6种国际著名期刊评审专家。 


课程教学:
本科生课程:信号与系统

研究方向:
数字图像与视频处理、智能媒体认知、视觉信息处理等

论文成果:
  • 1.Li Wei,Li Hongliang,Wu Qingbo,Meng Fanman,Xu Linfeng,Ngan King Ngi,“HeadNet: An End-to-end Adaptive Relational Network for Head Detection”IEEE Transactions on Circuits and Systems for Video Technology, pp.1-1, 02 January 2019. [PDF]
  • 2.Shang C, Wu Q, Meng F, Xu L.,”Instance Segmentation by Learning Deep Feature in Embedding Space”2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019: 2444-2448.
  • 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.Lei Ma, Hongliang Li, Fanman Meng, Qingbo Wu, and Linfeng Xu, "Manifold-ranking Embedded Order Preserving Hashing for Image Semantic Retrieval", Journal of Visual Communication and Image Representation, vol. 44, pp. 29-39, Apr. 2017.
  • 5.Chao Huang, Hongliang Li, Wei Li, Qingbo Wu, and Linfeng Xu, "Store Classification Using Text Exemplar Similarity and Hypotheses Weighted CNN", Journal of Visual Communication and Image Representation, vol. 44, pp. 21-28, Apr. 2017.
  • 6.Qingbo Wu, Hongliang Li, King N. Ngan and Linfeng Xu, "Blind Proposal Quality Assessment via Deep Objectness Representation and Local Linear Regression", IEEE International Conference on Multimedia & Expo (ICME 2017), Hong Kong, China, Jul. 10 - 14, 2017. (Oral) [PDF]
  • 7.Linfeng Xu, Liaoyuan Zeng, Huiping Duan, "An effective vector model for global-contrast-based saliency detection", Journal of Visual Communication and Image Representations, vol.30, pp. 64-74, July 2015.
  • 8.Guanghui Liu, Liaoyuan Zeng, Hongliang Li, Linfeng Xu, and Zhengning Wang, "Adaptive interpolation for pilot-aided channel estimator in OFDM system", IEEE Transactions on Broadcasting, vol. 60, no. 3, page 486-498, Sep, 2014.
  • 9.Linfeng Xu, Liaoyuan Zeng, Huiping Duan, Nii Longdon Sowah, "Saliency detection in complex scenes", EURASIP Journal on Image and Video Processing, 2014, 2014:31.
  • 10.Tiecheng Song, Linfeng Xu, Chao Huang, Bing Luo, "Texture Representation via Joint Statistics of Local Quantized Patterns", IEICE Transactions on Information and Systems, vol. E97-D, no. 1, pp. 155-159, Jan. 2014.
  • 11.Linfeng Xu, Liaoyuan Zeng, Zhengning Wang, "Saliency-based Superpixels", Signal, Image and Video Processing, vol. 8, no. 1, pp. 181-190, Jan. 2014.
  • 12.Qingbo Wu, Jian Xiong, Bing Luo, Chao Huang and Linfeng Xu, "A Novel Joint Rate Distortion Optimization Scheme for Intra Prediction Coding in H.264/AVC", IEICE TRANSACTIONS on Information and Systems, vol. E97-D, no. 4, pp. 989 - 992, Apr. 2014.
  • 13.Yurui Xie, Linfeng Xu, Zhengning Wang, "Automated co-superpixel generation via graph matching", Signal, Image and Video Processing, DOI 10.1007/s11760-013-0589-0, Published online: 6 Dec. 2013.
  • 14.Linfeng Xu, Liaoyuan Zeng, Zhengning Wang, "Learning a Saliency Map for Fixation Prediction", IEICE Transactions on Information and Systems, vol. E96-D, no. 10, pp. 2294-2297, Oct. 2013.
  • 15.Yurui Xie, Chao Huang, Linfeng Xu, "Semantic superpixel extraction via a discriminative sparse representation", Multimedia Tools and Applications, DOI 10.1007/s11042-013-1626-2, Published online: 31 July 2013.
  • 16.Bo Wu, and Linfeng Xu, "Integrating Bottom-up and Top-down Visual Stimulus for Saliency Detection In News Video", Multimedia Tools and Applications, DOI 10.1007/s11042-013-1530-9, Published online: 5 June 2013.
  • 17.Bo Wu, Linfeng Xu, Liaoyuan Zeng, Zhengning Wang, Yan Wang, "A unified framework for spatiotemporal salient region detection," EURASIP Journal on Image and Video Processing 2013, 2013:16.

  • 招生信息:
    硕士:
    081000 信息与通信工程
    06方向:图像与视频处理
    09方向:机器学习与人工智能
    10方向:信号与信息智能处理

    奖项荣誉:
    2013年优秀博士生学术支持计划
    2018年度四川省科技进步奖二等奖

    访问量 4709
    更新时间2019-01-04

    联系方式:

    邮编:611731

    实验室地址:成都市高新区(西区)西源大道2006号

    电子科技大学信息与通信工程学院

    技术支持:成都今网科技

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