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王兴刚
个人信息Personal Information
教授
博士生导师
硕士生导师
性别：男
在职信息：在职
所在单位：电子信息与通信学院
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：华中科技大学
学科：通信与信息系统
信号与信息处理
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Wang,Xinggang,Wang,Xinggang,Latecki,Jan,Longin,Liu,Wenyu,Bai,Xiang.Wang,Xinggang.Feature Context for Image Classification and Object Detection.2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2011,
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Wang,Xinggang,Wang,Xinggang,Latecki,Jan,Longin,Liu,Wenyu,Yang,Xingwei,Bai,Xiang.Wang,Xinggang.Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning.Advances in Neural Information Processing Systems 24 (NIPS 2011),2011,
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Wang,Xinggang,Wang,Xinggang,Latecki,Jan,Longin,Liu,Wenyu,Ma,Tianyang,Bai,Xiang.Wang,Xinggang.Fan Shape Model for Object Detection.2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2012,
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Wang,Xinggang,Wang,Xinggang,Wang,Tu,Zhuowen,Liu,Wenyu,Bai,Xiang,Wang,Baoyuan.Wang,Xinggang.Max-margin multiple-instance dictionary learning.International Conference on Machine Learning (ICML), Atlanta, June, 2013,2013,
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Wang,Xinggang,Latecki,Jan,Longin,Liu,Wenyu,Bai,Xiang.Feng,Bin.Bag of contour fragments for robust shape classification.Pattern Recognition,2014,
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Shen,Wei,Zhang,Zhijiang,Yan,Wang,Xinggang.Bai,Xiang.DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection.2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2015,
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Zhu,Zhuotun,Wang,Xinggang,Yao,Cong.Bai,Xiang.Relaxed Multiple-Instance SVM with Application to Object Discovery.2015 IEEE International Conference on Computer Vision (ICCV),2015,
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Tang,Peng,Bai,Xiang,Wang,Xinggang.Liu,Wenyu.Multiple Instance Detection Network with Online Instance Classifier Refinement.2017 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2017,
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Wang,Xinggang,Wang,Xinggang,Liu,Wenyu,Tang,Peng,Yan,Yongluan.Wang,Xinggang,Bai,Xiang.Revisiting multiple instance neural networks.Pattern Recognition,2017,
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Huang,Zilong,Wang,Jingdong,Liu,Wenyu,Wang,Jiasi.Wang,Wang,Xinggang.Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2018,
