PDF《张笑钦教师简介》

-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches , European Conference on Computer Vision (ECCV), 2012. 33. NianhuaXie, Haibing Lin, Weiming Hu, Xiaoqin Zhang, Use Bin-Ratio Information for Category and Scene Classification , International Conference on Computer Vision and Pattern Recognition (CVPR),

2010 34. Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weiming Hu,Steve Maybank, Yimin Zhang, Efficient Human PoseEstimation via Parsing a Tree Structure Based Human Model , International Conferenceon Computer Vision(ICCV) , 2009. 35. Xiaoqin Zhang, Weiming Hu,Steve Maybank, Li Xi, Sequential Particle Swarm Optimization for Visual Tracking , International Conference on Computer Vision and Pattern Recognition (CVPR), 2008. 36. Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Mingliang Zhu, Jian Chen, Visual Tracking via Incremental Log-Euclidean Riemannian Subspace Learning , International Conference on Computer Vision and Pattern Recognition (CVPR), 2008. 37. Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Robust visual tracking Based on AnEffective Appearance Model , European Conference on Computer Vision (ECCV), 2008. 38. Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Robust Foreground SegmentationBased on Two Effective Background Models , ACM Conference on MultimediaInformation Retrieval (ACM MIR), 2008. 39. Xiaoqing Zhang, Weiming Hu,Steve Maybank, and Xi Li, Graph based discriminative learning for robust and efficient object tracking , IEEE International Conference on Computer Vision (ICCV), 2007. 40. Xiaoqin Zhang,Zhiyong Liu,Hong Qiao, A Robust Multiple Cues Fusion based Bayesian Tracker , IEEE International Conference on Robotics and Automation (ICRA), pp. 4614-4619,

2007 41. Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, and Guan Luo, Robust Visual Tracking Based on Incremental Tensor Subspace Learning , IEEE International Conference on Computer Vision (ICCV), 2007. ? 科研获奖 1. 《复杂场景下目标跟踪的理论与方法》 , 浙江大学出版社

2017 年度

10 大好书 (科技类) ,

2017 2. 《复杂交通场景视频多目标跟踪与识别关键技术研究及应用》,浙江省人民政府, 浙江省 科技进步三........