个人简介
工作经历
1. 2011/01-至今, 南京理工大学计算机科学与工程学院, 硕士生导师,副教授;
2. 2009/09–2010/12,芬兰Oulu大学,博士后研究员;
3. 2007/09–2009/01, 新加坡松下研发中心,工程师;
4. 2005/07–2007/09, 中科院计算所,助研。
教育经历
1.2004/9–2009/7, 哈尔滨工业大学, 计算机应用, 博士, 导师:高文
2.2002/9–2004/7, 哈尔滨工业大学, 计算机应用, 硕士, 导师:高文
3.1998/9–2002/7, 哈尔滨工程大学, 机械工程, 学士, 导师:
研究领域
主要研究方向为计算机视觉、模式识别以及遥感影像处理等
近期论文
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Yazhou Liu, Pongsak Lasang, Quansen Sun and Mel Siegel, Geodesic Invariant Feature (GIF): A Local Descriptor in Depth, IEEE Transactions on Image Processing, 2015, vol.24, No1, pp 1057-7149.
Yazhou Liu, Guo Cao, Quansen Sun and Mel Siegel, Hyperspectral Classification via Deep Networks and Superpixel Segmentation, International Journal of Remote Sensing, Volume 36, Issue 13, July 2015, pages 3459-3482
Yazhou Liu, Pongsak Lasang, Quansen Sun and Mel Siegel, Multi-sparse Descriptor: A Scale Invariant Feature for Pedestrian Detection, Neurocomputing, 2016, 184 (5), 55-65
Xiaoqing Tang, Junlong Chen, Yazhou Liu*; Quansen Sun, Hyperspectral image classification by fusing sparse representation and simple linear iterative clustering, J. Appl. Remote Sens. 9(1), 2015
Yazhou Liu, Pongsak Lasang, Quansen Sun and Mel Siegel, Multiple Dictionaries Sparse Coding for Pedestrian Detection, IEEE International Conference on Image Processing (ICIP), 2015, Québec city, Canada.
Yazhou Liu, Guo Cao, Quansen Sun and Mel Siegel, Hyperspectral Classification via Learnt Feature, IEEE International Conference on Image Processing (ICIP), 2015, Québec city, Canada.
Yazhou Liu, Pongsak Lasang, Quansen Sun and Mel Siegel, Learning Hierarchical Feature Representation in Depth Image, The 12th Asian Conference on Computer Vision (ACCV), 2014, Singapore.