姓名：傅可人
职称：特聘副研究员（副高） 职务：
所在系所：图象图形研究所 电话：
电子邮箱：fkrsuper@scu.edu.cn 个人主页：http://www.kerenfu.top/
办公地址： 图象图形研究所234室
研究方向：视觉显著性计算，目标检测与识别，立体视觉与三维建模，深度学习等

个人简介
傅可人，博士，2016年12月获得上海交通大学（图像处理与模式识别研究所）与瑞典工科高等院校Chalmers University of Technology的双博士学位，主要研究方向为图像视频中的目标检测识别、深度学习、计算机视觉，曾入选2017年“全国博士后创新人才支持计划”，同年被四川大学引进为特聘副研究员（副高）。傅可人博士已经发表IEEE等期刊和国际会议论文39篇，其中SCI检索20篇，包括顶级期刊IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Image Processing、IEEE Transactions on Cybernetics、IEEE Transactions on Multimedia等, EI检索19篇，包括领域知名国际会议CVPR，BMVC，ACCV等，已获授权发明专利5项。目前是CSIG（中国图象图形学学会）会员，担任IEEE Transaction on Neural Networks and Learning Systems，Pattern Recognition，Pattern Recognition Letters，Neurocomputing，Computer Vision and Image Understanding，IEEE Access等期刊审稿人。

项目成果及获奖荣誉
国家自然科学基金青年基金，“结构化学习与预测的视频显著区域检测研究”，主持，2018-2020
上海交通大学2016届博士优秀毕业生
2015年博士研究生国家奖学金
2014年度上海交通大学研究生优秀奖学金
2013年博士研究生国家奖学金

部分论文著作
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