Qixiang Ye received his B.S. and M.S. degrees in mechanical & electrical engineering from Harbin Institute of Technology (HIT) in 1999 and 2001 respectively, and a Ph.D. degree from the Institute of Computing Technology, Chinese Academy of Sciences in 2006. Since 2016 he has been a full professor at the University of the Chinese Academy of Sciences. He was a visiting assistant professor of University of Maryland Institute of Advanced Computer Studies (UMIACS) until Jan. 2014, and a visiting scholar at Duke University at 2016. His research interests include visual object sensing and machine learning. He was a recipient of the Sony Outstanding Paper Award and the LuJiaXi Young Researcher Award. He is a Senior Member of IEEE.
Email: qxye at ucas dot ac dot cn
Google : ScholarPage
Address: School of Electronics, Electrical and Communication Engineering,
University of Chinese Academy of Sciences, A-2 BLDG, RM.457,
Huaibei Zhuang, Huairou District, Beijing, China, 101408.
His research interests are in areas of computer vision and machine learning, including image segmentation, microscope multi-focus image fusion; design of sparse linear classifier and piecewise linear classifiers; visual object representation and detection; He is moving to investigate large-scale weakly supervised object sensing and robotics.
Master of science, Harbin Institute of Technology, China. July 2001
Ph.D in computer science, Institute of Computing Technology, Chinese Academy of Sciences, April 2006
Assistant Professor of University of Chinese Academy of Sciences, from April 2006
Associate Professor of University of Chinese Academy of Sciences, from July 2009
Visiting Assitant Professor of University of Maryland, College Park, from 2012 to 2013
Visiting Scholar of Electrical and Computer Engineering, Duke, 2016
Professor of University of Chinese Academy of Sciences, from January 2016
Introduction to Algorithm
Honors & Distinctions
Top-10 most Cited Papers in The Past Five Years of Image and Vision Computing, 2010
Outstanding Course of Chinese Academy of Sciences at 2007 and 2009
CAS-Sony Outstanding Paper Award 2005
Scholarship of Institute of Computing Technology, Chinese Academy of Sciences, 2005
 Q. Ye, Z. Zhang, Q. Qiu, B. Zhang, J. Chen, and G. Sapiro, "Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model," in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2017.
 W. Ke, J. Chen, J. Jiao, and Q. Ye, "SRN: Side-output Residual Network for Object Symmetry Detection in the Wild," in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2017, (Oral).
 Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao, "Oriented Response Networks," in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2017.
 Y. Zhu, Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao, "Soft Proposal Network for Weakly Supervised Object Localization," in Proc. of IEEE Int. Conf. on Computer Vision (ICCV), 2017.
 S. Gao, Q. Ye, J. Xing, A. kuijper, Z. Han, J. Jiao, X. Ji, Beyond Group: Multiple Person Tracking via Minimal Topology-Energy-Variation, IEEE Transactions on Image Processing, 2017.
 B. Zhang, Z. Li, X. Cao, Q. Ye, C. Chen, L. Shen, A. Perina, and R. Ji,"Output Constraint Transfer for Kernelized Correlation Filter in Tracking," IEEE Transactions on Systems, Man, and Cybernetics, 2016.
 Q. Ye, D. S. Doermann, "Text Detection and Recognition in Imagery: A Survey," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.37, No.3, pp.1480-1500, 2015.
 S. Gao, Z. Han, C. Li, Q. Ye, J. Jiao, "Real-time Multi-pedestrian Tracking in Traffic Scenes via an RGB-D based Layered Graph Model," IEEE Transactions on Intelligent Transportation Systems, 2015.
 L. Zhang, Q. Ye, W. Yang, J. Jiao, "Weld Line Detection and Tracking via Spatial-Temporal Cascaded Hidden Markov Models and Cross Structured Light," IEEE Transactions on Instrumentation and Measurement, Vol.6, No.4, pp.742-752, 2014.
 Q. Ye, Z. Han, J. Jiao, J. Liu, "Human Detection in Images via Piecewise Linear Support Vector Machines," IEEE Transactions on Image Processing, Vol.22. No.2, pp.778-789, 2013.
 Q. Ye, J. Liang, J. Jiao, "Pedestrian Detection in Video Images via Error Correcting Output Code Classification of Manifold Subclasses," IEEE Transactions on Intelligent Transportation Systems, Vol.1, pp.193-202, 2012.
 R. Xu, J. Jiao, B. Zhang, Q. Ye, "Pedestrian Detection in Images via Cascaded L1-norm Minimization Learning Method," Pattern Recognition, Vol. 45, No.7, pp.2573-2583, 2012.
 Z. Han, J. Jiao, Q. Ye, J. Liu, "Visual Object Tracking Via Sample-Based Adaptive Sparse Representation, " Pattern Recognition, Vol.44, pp.2170-2183, 2011.
 R. Xu, B. Zhang, Q. Ye, J. Jiao, "Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection," in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2010.