基本信息

中国科学院大学特聘教授、国家杰出青年科学基金获得者、卢嘉锡青年人才奖获得者、CVPR2023、NeurIPS2023 Area Chair、IEEE TCSVT、TITS编委、负责机器学习与感知(LAMP)中关村开放实验室。2013至2014年在美国马里兰大学先进计算机技术研究所（UMIACS）任访问助理教授，2016年Duke大学信息技术研究所(IID)访问学者。主要进行信息表征学习与高性能目标感知方法研究。出版专著2本，IEEE CVPR, ICCV, NeurIPS, ECCV等国际会议与TPAMI, TNNLS, TIP等国际期刊发表论文100余篇，Google引用10000+次；授权国家发明专利30余项；承担了国家自然科学基金重点项目、华为、军委科技委创新特区项目、中国火箭运载技术研究院军品采购课题。曾获中国电子学会自然科学一等奖，指导多名博士生获中科院院长奖、博士后创新人才计划、中科院百篇优秀博士论文。

电子邮件：qxye at ucas dot ac dot cn
Google : ScholarPage
通信地址：中国科学院大学，北京怀柔雁栖湖校区，电子学院，A2楼，457房间，邮编：101408

部门/实验室：电子电气与通信工程学院
学术

研究领域：视觉目标检测；弱监督视觉建模；
学术动态：
2020年04月SRN（Side-Output Residual Network[source_code]）论文被IEEE TNNLS接受，祝贺柯炜！
2020年03月担任NeurIPS2020 Programm Committee Member.
2020年02月5篇学术论文被CVPR2020接收，祝贺[柯炜、天亮、朱艺、刘畅、姚远、云鹏]
2019年11月2篇学术论文被AAAI2020接收为Orals，SPSTracker实现最高精度目标跟踪，祝贺[钦涛、刘畅]
2019年10月担任IJCAI2020 Senior Programm Committee (SPC) Member
2019年09月2篇学术论文被NeurIPS2019接收，FreeAnchor 实现高精度One-stage目标检测器，祝贺[张小松、胡杰]
2019年07月2篇学术论文被ICCV2019接受，祝贺[丁瑶、昊岚]
2019年06月CVPR2019 SkelNetOn 2019竞赛第一名，祝贺[刘畅]
2019年05月担任ICCV2019 Programm Committee Member
2019年03月大规模(100万幅)X光违禁品安全检测数据集合（SixRay）发布，CVPR2019论文[pdf][凤凰网报道]（祝贺彩敬）
2019年02月5篇学术论文被CVPR2019接受（祝贺万方、朱艺、刘畅、彩敬）
2019年02月将在Valse学术群进行弱监督视觉目标检测分割学术报告[PPT链接]
2019年01月弱监督视觉目标检测论文被PAMI接受（祝贺万方）[PAMI论文][torch-code][pytorch-code]
2019年01月担任IJCAI2019 Programm Committee Member
2018年12月获得中国科学院青年促进会择优项目资助[新闻链接]
2018年11月担任IEEE CVPR 2019 Program Committee Member
2018年06月受邀在三星研究院进行学术报告：侧输出残差网络及目标对称性检测[PPT、论文与代码链接]
2018年03月3篇学术论文被CVPR2018接受（祝贺彦钊、万方、维建）
2017年03月博士生柯炜获得中国科学院院长奖[链接]
2017年03月获得ICCV 2017目标对称性检测冠军（祝贺柯炜、刘畅）[新闻链接]
2017年09月获得第一届“航天星图杯”高分遥感车辆检测第一名（祝贺彦钊、维建、朱艺、万方）[新闻链接]
2017年11月担任IEEE CVPR 2018 Program Committee Member
2017年03月3篇学术论文被CVPR2017接收（祝贺柯炜、彦钊）[机器之心报导]
2016年06月受邀在中科院自动化所进行学术报告：文字目标检测综述[PAMI论文链接][reprint]
2015年05月获得中国电子学会自然科学二等奖
2014年04月获得中国科学院卢嘉锡青年人才奖[新闻链接]
科研项目：
视觉目标自学习建模与在线处理，主持，国家自然科学基金重点项目，2019-01-2023-12
视觉目标建模，主持，中国科学院青年创新促进会择优项目，2014-01-2021-12
弱监督视觉目标检测，主持，国家自然科学基金面上项目，2017-01-2020-12

学生信息

招收硕博连读生，要求具有扎实的编程能力和良好的数理基础。
在读研究生：
张天亮 博士生 2014年毕业于武汉理工 方向：视觉目标检测
刘 畅 博士生 2015年毕业于吉林大学 方向：特征表示学习
姚 远博士生 2017年毕业于北京交大 方向：特征表示学习
杨博宇 博士生 2018年毕业于武汉大学 方向：小样本学习
郭宗昊 博士生 2019年毕业于武汉大学 方向：视觉目标检测
高 炜 硕士生 2018年毕业于清华大学 方向：弱监督目标检测
张小松 硕士生 2018年毕业于哈 工 大 方向：视觉目标检测
付梦莹 硕士生 2019年毕业于中国农大 方向：弱监督视觉建模
袁天宁 硕士生 2019年毕业于清华大学 方向：弱监督视觉建模
张云霄 硕士生 2019年毕业于浙江大学 方向：视觉推理与检测

已毕业研究生:

武 博（2011年毕业） 硕士 毕业去向：中国农业银行
于东升（2011年毕业） 硕士 毕业去向：腾讯
梁吉祥（2013年毕业） 硕士 毕业去向：中国农业银行 （获得2012年度国家奖学金）
张 耀（2015年毕业） 硕士 毕业去向：航天科工集团
崔妍婷（2015年毕业） 硕士 毕业去向：阿里巴巴
黄显淞（2017年毕业） 硕士 毕业去向： 深圳鹏城实验室
刘嫣然（2017年毕业） 硕士 毕业去向： 大唐电信
柯 炜（2018年毕业） 博士 毕业去向：CMU博士后、西安交大副教授博导(获得2016年度国家奖学金，2017年中科院院长奖)
苗彩敬（2019年毕业） 硕士 毕业去向：金山云
万 方（2019年毕业） 博士 毕业去向： 中国科学院大学(入选2019年度“博新计划”人才，2019年中科院院长奖)
薛昊岚（2020年毕业）硕士 毕业去向：阿里巴巴达摩院

招生专业081002-信号与信息处理
081203-计算机应用技术

招生方向机器学习
视觉目标感知
机器学习方法


教授课程

《机器学习》2017版课件链接《强化学习：AlhpaGo到AlphaZero》2018版课件链接


出版信息及软件工具


Object Detection (new)
[1] W. Ke, J. Chen, J. Jiao, G. Zhao, Q. Ye, "SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond," IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2020 [source_code]
[2] W. Ke, T. Zhang, Z. Huang,Q. Ye, etc., "Multiple Anchor Learning for Visual Object Detection, " in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2020 (To Appear).
[3] J. H, L. Zhou, X. Wang, J. Zhang, Y. Mao,Q. Ye, SPSTracter: Sub-Peak Depression of Response Map for Robust Object Tracking,AAAI2020.[pdf][source-code]
[4] X. Zhang, F. Wan, C. Liu, R. Ji,Q. Ye, "FreeAnchor: Learning to Match Anchors for Visual Object Detection,"NeurIPS2019. [pdf][source-code]
Weakly Supervised & Self-Learning
[5] Y. Yao, C. Liu, D. Luo, Y. Zhou,Q. Ye, " Self-Supervised Spatio-Temporal Feature Learning,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2020 [source-code].
[6] Y. Zhai, S. Lv,Q. Ye, J. Chen, R. Ji, Y. Tian, "AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2020 (To Appear).
[7] D. Luo, C. Liu, Y. Zhou,Q. Ye, etc., Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning,AAAI2020.[To Appear]
[8] H. Xue, C. Liu, F. Wan, J. Jiao,Q. Ye, "DANet: Divergent Activation for Weakly Supervised Object Localization,"in Proc. ofIEEE Int. Conf. on Computer Vision (ICCV),2019. [pdf] [source-code]
[9] F. Wan, C. Liu, X. Ji, J. Jiao,Q. Ye, "CMIL: Continuation Multiple Instance Learning forWeakly Supervised object Detection,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2019 (Oral). [pdf][source-code]
[10] Y. Zhu, Y. Zhou, H. Xu,Q. Ye, D. Doeramann, J. Jiao, "Learning Instance Activation Maps for Weakly Supervised Instance Segmentation,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2019 [pdf].
[11] C. Miao, X. Xie, F. Wang, C. Su,J. Jiao,Q. Ye, "SIXray: A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2019 [pdf][dataset&code]
[12] F. Wan, P. Wei, Z. Han, J. Jiao,Q. Ye, “Min-entropy Latent Model for Weakly Supervised object Detection,”IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), DOI:10.1109/TPAMI.2019.**. [IEEE PAMI PDF][Arxiv PDF][Code][pytorch-code]
[13] F. Wan, P. Wei, Z. Han, J. Jiao,Q. Ye, “Min-entropy Latent Model for Weakly Supervised object Detection,”in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2018: 1297-1306. [pdf]-[source code]-[bibtex]
[14] Y. Zhou, Y. Zhu,Q. Ye,Q. Qiu,J. Jiao, “Weakly Supervised Instance Segmentation using Class Peak Response,” in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2018 (Spotlight).[pdf]-[source code]-[bibtex]
[15] W. Deng, L. Zheng,Q. Ye, J. Jiao, “Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,”in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2018.[pdf]-[source code]-[bibtex]
[16]Q. Ye, T. Zhang, Q. Qiu, B. Zhang, J. Chen, and G. Sapiro,"Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2017. [pdf]-[source code]-[bibtex]
[17] Y. Zhu, Y. Zhou,Q. Ye, Q. Qiu, and J. Jiao, "Soft Proposal Network for Weakly Supervised Object Localization," in Proc. ofIEEE Int. Conf. on Computer Vision (ICCV), 2017. [pdf]-[source code]-[bibtex]
Feature Learning
[18] X. Zheng, R. Ji, Q. Wang,Q. Ye, Q. Tian, "Rethinking Performance Estimation in Neural Architecture Search,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2020 (To Appear).
[19] L. Zhuo, H. Chen, B. Zhang,Q. Ye,etc., "Cogradient Descent for Bilinear Optimization,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2020 (To Appear).
[20] J. Hu, R. Ji, S. Zhang, X. Sun,Q. Ye, "Information Competing Process for Learning Diversified Representations,"NeurIPS2019.[pdf]
[21] Y. Ding, Y. Zhou, Y. Zhu,Q. Ye, J. Jiao, "Selective Sparse Sampling for Fine-grained Image Recognition,"in Proc. ofIEEE Int. Conf. on Computer Vision (ICCV),2019. [pdf][source-code]
[22] C. Liu, F. Wang, Y. Yao, X. Zhang,Q. Ye, "Orthorgnal Decomposition Network For Pixel-wise Binary Classification,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2019. [pdf]
[23]S. Lin, R. Ji, C. Yan, B. Zhang, L. Cao,Q. Ye, F. Huang, D. Doermann, "Towards Optimal Structured CNN Pruning via Generative Adversarial Learning,"in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR),2019. [pdf].
[24] L. Zhuo, B. Zhang, C. Chen,Q. Ye, J. Liu, D. Doermann, Calibrated Stochastic Gradient Descent for Convolutional Neural Networks,AAAI2019.
[25]Z. Li, Z. Han, J. Xing,Q. Ye, X. Yu, J. Jiao, "High performance person re-identification via a boosting ranking ensemble,"Pattern Recognition, 94 (10), pp.187-195, 2019.
[26] C. Liu, W. Ke, F. Qin,Q. Ye, "Linear Span Network for Object Skeleton Detection," in Proc. ofEuropean Computer Vision Conference (ECCV), 2018.[pdf]-[source code]-[bibtex]
[27] W. Ke, J. Chen, J. Jiao, andQ. Ye, "SRN: Side-output Residual Network for Object Symmetry Detection in the Wild," in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2017: 302-310. (Oral). [pdf]-[source code]-[bibtex]
[28] Y. Zhou,Q. Ye, Q. Qiu, and J. Jiao, "Oriented Response Networks," in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. [pdf]-[source code]-[bibtex]
Object Detection (older)
[29] Y. Cai, W. Wang, Y. Chen,Q. Ye,"IOS-Net: An Inside-to-outside Supervision Network for Scale Robust Text Detection in the wild,"Pattern Recognition,2020[pdf].
[30]F. Liang, L. Duan, W. Ma, Y. Qiao, Z. Cai, J. Miao, Q. Ye, "CoCNN: RGB-D Deep Fusion for Stereoscopic Salient Object Detection,"Pattern Recognition,2020[pdf].
[31] X. Yu, Y. Gong, N. Jiang,Q. Ye, Z. Han,"Scale-match for Tiny Person Detection,"WACV,2020[pdf].
[32] T. Zhang, Z. Han, H. Xu, B. Zhang,Q. Ye, "CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection,"IEEE Transactions on Intelligent Transportation Systems,2019[pdf].
[33] C. Li, B. Zhang,Q. Ye, "Deep Manifold Stucture Transfer for Action Recognition,"IEEE Transactions on Image Processing, 2019, To Appear.
[34] X. Liu, C. Li, H. Wang, X. Zhen, B. Zhang,Q. Ye, "Starts Better and Ends Better: A Target Adaptive Image Signature Tracker,"in Proc. ofWACV,2019,(To Appear)
[35]Q. Ye, T. Zhang "Progressive Latent Model forSelf-learning Scene-specific Pedestrian Detectors,"IEEE Transactions on Intelligent Transportation Systems,2019[pdf].
[36] Z. Han, P. Wang,Q. Ye,"Adaptive Discriminative Deep Correlation Filter for Visual Object Tracking,"IEEE Transactions on Circuit and System on Video Technology,2019 (To Appear).
[37] P. Wei, F. Qin, F. Wan, Y. Zhu, J. Jiao andQ. Ye, "Correlated Topic Vector for Scene Classification",IEEE Transactions on Image Processing, 26(7):3221-3234 (2017). [pdf]-[bibtex]
[38] 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,26(12):5575-5589 (2017).[pdf]-[bibtex]
[39] 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, 47(4):693-703 (2017). [pdf]-[bibtex]
[40]Q. Ye, D. S. Doermann, "Text Detection and Recognition in Imagery: A Survey,"IEEE Transactions on Pattern Analysis and Machine Intelligence(PAMI), 37(3):1480-1500 (2015).[pdf]-[bibtex]
[41]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, 16(5): 2814-2825 (2015).[pdf]-[bibtex]
[42] 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 onInstrumentation and Measurement, 6(4):742-752 (2014).[pdf]-[bibtex]
[43]Q. Ye, Z. Han, J. Jiao, J. Liu, "Human Detection in Images via Piecewise Linear Support Vector Machines,"IEEE Transactions on Image Processing, 22(2):778-789 (2013).[pdf]- [source code]-[bibtex]
[44]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,13(1): 193-202 (2012).[pdf]-[bibtex]
[45] R. Xu, J. Jiao, B. Zhang,Q. Ye, "Pedestrian Detection in Images via Cascaded L1-norm Minimization Learning Method,"Pattern Recognition, 45(7):2573-2583 (2012).[pdf]-[bibtex]
[46] Z. Han, J. Jiao,Q. Ye, J. Liu, "Visual Object Tracking Via Sample-Based Adaptive Sparse Representation, "Pattern Recognition,44(9): 2170-2183 (2011).[pdf]-[bibtex]
[47] 叶齐祥，焦建彬，蒋树强，基于多尺度方向特征的快速鲁棒人体检测算法，软件学报，2011,22(12):3004-3014.[pdf]
[48] R. Xu, B. Zhang,Q. Ye, J. Jiao, "Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection," in Proc. ofIEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2010.[pdf]-[bibtex].
[49] J. Jiao,Q. Ye, Q. Huang, "A Configurable Method for Multi-style License Plate Recognition,"PatternRecognition, 32(3):358--369, 2009. [pdf]-[bibtex]
[50]Q. Ye, Q. Huang, W. Gao, S. Jiang, "Exciting event detection in broadcast soccer video with mid-level description and incremental learning,"ACM Multimediapp.455-458,2005.[pdf]
[51] 叶齐祥，高文，黄铁军，王伟强，一种融合颜色和空间信息的彩色图像分割算法，软件学报，2004,15(4):522-530.[pdf]