傅可人

傅可人，男，雙博士，四川大學計算機學院特聘副研究員。

基本介紹

  • 中文名：傅可人
  • 國籍：中國
  • 畢業院校：上海交通大學、瑞典工科高等院校
  • 學位/學歷：博士
  • 職務：中國圖象圖形學學會會員 
  • 主要成就：2014年度上海交通大學研究生優秀獎學金 
  • 學術代表作：《結構化學習與預測的視頻顯著區域檢測研究》 
  • 職稱：特聘副研究員
  • 研究方向：視覺顯著性計算 
人物經歷,研究方向,學術成果,社會任職,項目成果,獲獎情況,論文著作,

人物經歷

2016年12月獲得上海交通大學（圖像棕厚擊榜處理與模式識別研究所）與瑞典工科高等院校己想背Chalmers University of Technology的雙博士學位，曾入選2017年“全國博士後創新人再套獄阿才支持計畫”，同年被四川大學引進為特聘副研究員（副高）。

研究方向

主要研究方向為圖像視頻中的目標檢測識別、深度學習、計算機視覺。刪判套

學術成果

傅可人博士已經發恥霸斷表IEEE等期刊和國際會議論文39篇，其中SCI檢索20篇，包括頂級期刊IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Image Processing、IEEE Transactions on Cybernetics、IEEE Transactions on Multimedia等, EI檢索19篇，包括領域知名國際會議CVPR，BMVC，ACCV等，已獲授權發明專利5項。

社會任職

是CSIG（中國圖象圖形學學會）會員，擔任IEEE Transaction on Neural Networks and Learning Systems，Pattern Recognition，Pattern Recognition Letters，Neurocomputing，Computer Vision and Image Understanding，IEEE Access等期刊審稿人。

項目成果

國家自然科學基金青年基金，“結構化學習與預測的視頻顯著區域檢測研究”，主持，2018-2020

獲獎情況

上海交櫻束通大學2016屆博士優秀畢業生
2015年博士研究生國端疊蜜家獎學金
2014年度上海交通大學研究生優秀獎學金
2013年博士研究生國家獎學金

論文著作

  1. Keren Fu, Qijun Zhao, Irene Yu-Hua Gu , Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection, IEEE Transactions on Multimedia, 2018 (accepted)
  2. Keren Fu, Irene Yu-Hua Gu, Jie Yang, Spectral salient object detection, Neurocomputing, 2018, 275: 788-803
  3. Keren Fu, Irene Yu-Hua Gu, Jie Yang, Saliency Detection by Fully Learning A Continuous Conditional Random Field, IEEE Transactions on Multimedia, 2017, 19(7): 1531-1544
  4. Keren Fu, Irene Yu-Hua Gu, Chen Gong, Jie Yang, Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction, Neurocomputing, 2016, 175: 336-347
  5. Keren Fu, Chen Gong, Irene Gu, Jie Yang*, Normalized Cut-based Saliency Detection by Adaptive Multi-Level Region Merging, IEEE Transactions on Image Processing, 2015, 24(12): 5671-5683
  6. Keren Fu, Chen Gong, Jie Yang, Yue Zhou, Irene Yu-Hua Gu, Superpixel based color contrast and color distribution driven salient object detection, Signal processing: Image Communication, 2013, 28(10): 1448-1463
  7. Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Yu-Hua Gu, One-class support vector machine-assisted robust tracking, Journal of Electronic Imaging, 2013, 22(2): 023002
  8. Keren Fu, Chen Gong, Yixiao Yun, Yijun Li, Irene Yu-Hua Gu, Jie Yang, Jingyi Yu, Adaptive Multi-Level Region Merging for Salient Object Detection, British Machine Vision Conference (BMVC), 2014
  9. Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang*, Geodesic Saliency Propagation for Image Salient Region Detection, IEEE Int'l Conference on Image Processing (ICIP), 2013: 3278-3282
  10. Keren Fu, Chen Gong, Jie Yang, Yue Zhou, Salient Object Detection via Color Contrast and Color Distribution, Asia Conference on Computer Vision (ACCV), 2012: 111-122
  11. Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Xiangjian He, Jie Yang, Visual tracking via nonnegative multiple coding, IEEE Transactions on Multimedia, 2017, 19(12):2680-2691
  12. Fanghui Liu, Tao Zhou, Chen Gong, Keren Fu, Li Bai, Jie Yang, Inverse nonnegative local coordinate factorization for visual tracking, IEEE Transactions on Circuits and Systems for Video Technology, 2017, accepted
  13. Fanghui Liu, Tao Zhou, Keren Fu, Jie Yang, Kernelized Temporal Locality Learning for Real-time Visual Tracking, Pattern Recognition Letters, 2017, 90: 72-79
  14. Chenjie Ge, Keren Fu, Fanghui Liu, Li Bai, Jie Yang, Co-saliency detection via inter and intra saliency propagation, Signal processing: Image Communication, 2016, 44: 69-83
  15. Fanghui Liu, Tao Zhou, Keren Fu, Jie Yang, Robust visual tracking via constrained correlation filter coding, Pattern Recognition Letters, 2016, 84: 163-169
  16. Yijun Li, Keren Fu, Zhi Liu, Jie Yang, Efficient Saliency-Model-Guided Visual Co-Saliency Detection, IEEE Signal Processing Letters, 2015, 22(5): 588-592
  17. Chen Gong, Dacheng Tao, Wei Liu, S.J. Maybank, Meng Fang, Keren Fu, Jie Yang, Saliency Propagation from Simple to Difficult, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015: 2531-2539
  18. Chen Gong, Dacheng Tao, Keren Fu, Jie Yang, FLAP: Fick's Law Assisted Propagation for Semisupervised Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2015, 26(9): 2148-2162
  19. Chen Gong, Tongliang Liu, Dacheng Tao, Keren Fu, Enmei Tu, Jie Yang, Deformed graph Laplacian for semisupervised learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2015, 26(10): 2261-2274
  20. Tao Zhou, Xiangjian He, Kai Xie, Keren Fu, Junhao Zhang, Jie Yang, Robust visual tracking via efficient manifold ranking with low-dimensional compressive features, Pattern Recognition, 2015, 48(8): 2459-2473
  21. Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang, Semi-supervised classification with pairwise constraints, Neurocomputing, 2014, 139: 130-137
  22. Chen Gong, Keren Fu, Artur Loza, Qiang Wu, Jia Liu, Jie Yang, PageRank Tracker: From ranking to tracking, IEEE Transactions on Cybernetics, 2014, 44(6): 882-893

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