基本信息

中国科学院大学长聘教授、中国科学院卢嘉锡青年人才奖获得者、中科院青年创新促进会优秀会员、中国科学院优秀博士生导师、美国马里兰大学杰出研究学者奖获得者、IEEE高级会员、IEEE Transactions on CSVT、IEEE Transactions on ITS编委。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。主要进行监督信息不完备的视觉表征学习与目标感知方法研究,提出高精度、弱监督、小样本等先进视觉目标检测方法。出版专著1本,发表论文180余篇,包括IEEE CVPR, ICCV, NeurIPS, AAAI、ECCV等国际会议与T-PAMI, TNNLS, TIP, T-ITS, T-CSVT、PR等国际期刊发表论文80余篇,H-Index为45,Google引用7000余次、SCI引用1500余次、多篇论文ESI高被引;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、华为专利许可项目、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;获ICCV2017、 CVPR2019目标骨架检测竞赛冠军、2017年高分辨率对地观测重大专项遥感目标解译竞赛冠军。培养多名博士生获中科院院长奖、1名获得全国博士后创新人才计划支持、1名获中科院百篇优秀博士论文。

Email:qxye at ucas dot ac dot cn, Phone: 86-10-69671881

通信地址:中国科学院大学北京雁栖湖校区,学园二,457,邮编:101408


学术动态

2022年5月份Dynamic Support Network 论文被TPAMI接受,祝贺[博宇]!

2022年3月份Self-supervised Motion Perception论文被TNNLS接受,祝贺[刘畅]!

2022年1月Convex-Hull for Dense Object Detection论文被T-CSVT接收,祝贺[宗昊]

2021年7月3篇论文被ICCV接收,祝贺[朱艺智亮高伟]

2021年7月 Long-tailed Distribution Adaptation论文被ACMMM接受,祝贺[智亮]!

2021年4月AdaLSN论文被TIP接收,祝贺[刘畅、运杰]!

2021年3月5篇paper被IEEE CVPR接收,祝贺[冰昊天宁宗昊博豪、宇超]!

2021年2月小样本学习方法HFA被TIP接收,祝贺[冰昊]!

2021年1月FreeAnchor扩展版本Learning-to-Match的目标检测器被T-PAMI接收,祝贺[小松]!

2020年12月2篇学术论文被AAAI2020接受,祝贺万方、梦莹!

2020年11月开源骨架-边缘-显著度-建筑物、道路通用检测工具箱SDL-Skeleton[Code]!

2020年10月万方同学获得中国科学科学院百篇优秀博士学位论文奖,祝贺万方

2020年09月开源Continuation Multiple Instance learning: Torch 版本及Caffe+ResNet版本

2020年08月Valse目标检测年度进展[slides]

2020年07月4篇学术论文被ECCV2020接收,祝贺[博宇、朋旭、云鹏、新帅]!

2020年04月SRNSide-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]
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06月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 

教授课程

中国科学院研究生课程:《机器学习方法与应用》

学生培养

招生专业:

081002-信号与信息处理

081203-计算机应用技术

在读研究生:

姚   远  博士生  2017年毕业于北京交大   方向:自监督视觉建模

张小松  博士生  2018年毕业于 哈 工 大   方向:视觉目标检测

杨博宇  博士生  2018年毕业于武汉大学   方向:小样本增量学习

刘冰昊  博士生  2018年毕业于武汉大学   方向:  小样本增量学习

郭宗昊  博士生  2019年毕业于武汉大学   方向:视觉目标检测

彭智亮  博士生  2019年毕业于华中科大   方向:视觉表示学习

付梦莹  博士生  2019年毕业于中国农大   方向:弱监督视觉检测

廖明祥  硕士生  2020年毕业于 哈 工 大   方向:视觉目标检测

刘   峰  硕士生  2020年毕业于 哈 工 大   方向: 视觉目标检测

李博豪  硕士生  2020年毕业于武汉大学   方向:小样本目标检测

陆旭然  硕士生  2021年毕业于郑州大学   方向:视觉目标检测

俞洪田  硕士生  2021年毕业于国科大      方向:视觉目标检测

陈孝仲  硕士生  2021年毕业于国科大      方向:视觉目标检测

已毕业学生:

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: 鹏城国家实验室

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(招收博士生)(获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: 中国科学院大学副教授博导(获中科院院长奖、博新计划、中科院“百篇优博”) 

薛昊岚(2020年毕业) 硕士  毕业去向:阿里巴巴达摩院 

张天亮  (2020年毕业)  博士 毕业去向:腾讯(获2020年度国家奖学金、朱李月华博士生奖)

刘   畅 (2021年毕业)  博士  毕业去向:清华大学博士后(获2020年度国家奖学金)

高   伟 (2021年毕业) 硕士   毕业去向:阿里巴巴

马金戈 (2021年毕业) 本科,毕业去向:美国密西根大学

袁天宁 (2022年毕业)硕士,毕业去向:华为2012实验室(获2021年度国家奖学金)

马天任(2022年毕业)本科,毕业去向:中国科学院大学

张语孟(2022年毕业)本科,毕业去向:美国约翰霍普金斯大学

学习工作经历

哈尔滨工业大学本科硕士
中科院计算所博士
中国科学院大学讲师、副教授 
美国马里兰大学访问助理教授
美国杜克大学电子与计算机工程学院访问学者
中国科学院大学电子电气与通信工程学院教授


出版信息及软件工具

Object Detection (new)

[1] X. Zhang, F. Wan, C. Liu, X. Ji, Q. Ye, "Learning to Match Anchors for Visual Object Detection," IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI), 44(6):3096 - 3109, 2022. [pdf][source-code].

[2] B. Yang, M. Lin, Z. Zhang, B. Liu, X. Liang, R. Ji, Q. Ye, "Dynamic Support Network for Few-shot Incremental Learning," IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI), DOI:10.1109/TPAMI.2022.3175849. [pdf][source-code].

[3] Z. G, X. Zhang, C. Liu, J. Jiao, X. Ji, Q. Ye, "Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection," IEEE Trans. Circuits Syst. Video Technol. (T-CSVT), DOI: 10.1109/TCSVT.2022.3140248. [pdf][source_code].

[4] C. Liu, Y. Tian  J. Jiao,  Q. Ye, "Adaptive Linear Span Network for Object Skeleton Detection," IEEE Trans. Image Process. (TIP) 2021, 30:5096-5108. [pdf][source_code].

[5] Z. Peng, W. Huang, S. Gu, L. Xie, Y. Wang, J. Jiao, Q. Ye, Conformer: Local Features Coupling Global Representations for Visual Recognition, ICCV 2021. [pdf][code]

[6] T. Yuan, F. Wan, M. Fu, J. Liu, C. Xu, X. Ji, Q. Ye, "Multiple Instance Active Learning for Object Detection," IEEE CVPR 2021[pdf][source_code].

[7] Z. Guo, C. Liu, X. Zhang, J. Jiao, X. Ji, Q. Ye, "Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented and Densely Packed Object Detection," IEEE CVPR 2021 [pdf][source_code].

[8] B. Li, B. Yang, C. Liu, F. Liu, R. Ji, Q. Ye, "Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection," IEEE CVPR 2021 [pdf][source_code].

[9] B. Liu, Y. Ding, J. Jiao, X. Ji, Q. Ye, "Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation," IEEE CVPR 2021[pdf][source_code].

[10] B. Liu, J. Jiao, Q. Ye, "Harmonic Feature Activation for Few-Shot Semantic Segmentation," IEEE Trans. Image Process. (TIP), 30(2):3142 - 3153, 2021 [pdf][source_code].

[11] W. Ke, J. Chen, J. Jiao, G. Zhao, Q. Ye, "SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond," IEEE Trans. Neural Networks Learn. Syst. (TNNLS), 32(5):1881-1895, 2021. [pdf][source_code]

[12] W. Ke, T. Zhang, Z. Huang, Dong Huang, Q. Ye, "Multiple Anchor Learning for  Visual Object Detection, " IEEE CVPR, 2020[pdf][source_code]

[13] M. Lin, Y. X. Tian, B. Zhang, Q. Ye,  W. Liu, D. Doermann, "iffDetector: Inference-Aware Feature Filtering for Object Detection," IEEE Trans. Neural Networks Learn. Syst. (TNNLS), 2021 (To Appear).

[14] F. Liu, X. Zhang, F. Wan, X. Ji, Q. Ye, "Domain Contrast for Domain Adaptive Object Detection,"  IEEE Trans. Circuits Syst. Video Technol. (T-CSVT)2021 (To Appear).

[15] J. H, L. Zhou, X. Wang, J. Zhang, Y. Mao, Q. Ye, "SPSTracter: Sub-Peak Depression of Response Map for Robust Object Tracking," AAAI 2020. [pdf][source-code]

[16] B. Yang, C Liu, B. Li, J. Jiao,  Q. Ye, "Prototype Mixture Models for Few-shot Semantic Segmentation," ECCV 2020. [pdf][source-code].

[17] Y. Zhu, X. Liang, B. Lin, J. Jiao, Q. Ye, L. Lin, X. Liang, "Configurable Graph Reasoning for Visual Relationship Detection,"  IEEE Trans. Neural Networks Learn. Syst. (TNNLS), 2020. [pdf]

[18] Y. Cai, C. Liu,  P. Cheng, D. Du, Bo. Li, W. Wang, Q. Ye,  "Scale-residual Learning Network for Scene Text Detection, "  IEEE Trans. Circuits Syst. Video Technol. (T-CSVT)2021:31(7):2725-2738. [pdf]

[19] T. Zhang, Q. Ye, B. Zhang,  J. Liu, X. Zhang, Q. Tian,  "Feature Calibration Network for Occluded Pedestrian Detection, " IEEE Trans. Intell. Transp. Syst. (T-ITS)2021[PDF].

[20] X. Zhang, F. Wan, C. Liu, R. Ji, Q. Ye, "FreeAnchor: Learning to Match Anchors for Visual Object Detection," NeurIPS 2019. [pdf][source-code]

Weakly Supervised & Self-Learning 

[21] W. Gao, F. Wan, etc., B. Zhou, Q. Ye,TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization, ICCV 2021. [pdf][code]

[22Q. Ye, F. Wan, C. Liu, Q. Huang, X. Ji,  "Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection, "  IEEE Trans. Neural Networks Learn. Syst. (TNNLS),10.1109/TNNLS.2021.3070801 . [pdf][source_code]

[23] Z. Peng, W. Huang, Z. Guo, X. Zhang, J. Jiao, Q. Ye, "Long-tailed Distribution Adaptation," ACM MM, 2021. [pdf][source_code]

[24] B. Yang, F. Wan, B. Li, C. Liu, X. Ji, Q. Ye, "Part-based Semantic Transform for Few-shot Semantic Segmentation,"  IEEE Trans. Neural Networks Learn. Syst. (TNNLS) , 2021, 10.1109/TNNLS.2021.3084252. [pdf][source_code]

[25] C. Zhang, Z. Li, J. Liu, P. Peng, Q.  Ye, S.  Lu, T.  Huang, Y.  Tian,  "Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection",  IEEE Transactions on Multimedia 10.1109/TMM.2021.3078141 [pdf]

[26]  F. Wan, T. Yuan, M. Fu, Q. Huang, X. Ji, Q. Ye, "Nearest Neighbor Classifier Embedded Network for Active Learning," AAAI 2021 [pdf].

[27]  M. Fu, T. Yuan, F. Wang, S. Xu, Q. Ye, "Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment," AAAI 2021 [pdf].

[28] K. Sun, H. Liu, Q. Ye,  Y. Gao, J. Liu, L. Shao, R. Ji, "Domain General Face Forgery Detection by Learning to Weight," AAAI 2021 [pdf].

[29] Y. Yao, C. Liu, D. Luo, Y. Zhou, Q. Ye, "Video Playback Rate Perception for Self-Supervised Spatio-Temporal RepresenationLearning," IEEE CVPR, 2020. [pdf][source-code]. 

[30] Y. Zhai, S. Lv, Q. Ye, J. Chen, R. Ji, Y. Tian, "AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification," IEEE CVPR, 2020. [pdf]

[31] D. Luo, C. Liu, Y. Zhou, W. Wang, Q. Ye., Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning, AAAI 2020. [pdf][source-code]

[32] H. Xue, C. Liu, F. Wan, J. Jiao, Q. Ye, "DANet: Divergent Activation for Weakly Supervised Object Localization," IEEE ICCV 2019. [pdf] [source-code]

[33] F. Wan, C. Liu, X. Ji, J. Jiao, Q. Ye, "CMIL: Continuation Multiple Instance Learning for Weakly Supervised object Detection," IEEE CVPR, 2019 (Oral). [pdf][source-code][Caffe+ResNet]

[34] Y. Zhu, Y. Zhou, H. Xu, Q. Ye, D. Doeramann, J. Jiao, "Learning Instance Activation Maps for Weakly Supervised Instance Segmentation," IEEE CVPR, 2019 [pdf].

[35] 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," IEEE CVPR, 2019 [pdf][dataset&code]

[36] F. Wan, P. Wei, Z. Han, J. Jiao, Q. Ye, “Min-entropy Latent Model for Weakly Supervised object Detection,” IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI), 41(10): 2395-2409 (2019). [IEEE PAMI PDF][Arxiv PDF][Code][pytorch-code]

[37] F. Wan, P. Wei, Z. Han, J. Jiao, Q. Ye, “Min-entropy Latent Model for Weakly Supervised object Detection,” IEEE CVPR, 2018: 1297-1306. [pdf]-[source code]-[bibtex]

[38] Y. Zhou, Y. Zhu, Q. Ye, Q. Qiu, J. Jiao, “Weakly Supervised Instance Segmentation using Class Peak Response,” IEEE CVPR, 2018 (Spotlight). [pdf]-[source code]-[bibtex]

[39] W. Deng, L. Zheng, Q. Ye, J. Jiao, “Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,” IEEE CVPR, 2018.  [pdf]-[source code]-[bibtex]

[40Q. Ye, T. Zhang, Q. Qiu, B. Zhang, J. Chen, and G. Sapiro, "Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model," IEEE CVPR, 2017. [pdf]-[source code]-[bibtex]

[41] Y. Zhu, Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao, "Soft Proposal Network for Weakly Supervised Object Localization," IEEE ICCV, 2017. [pdf]-[source code]-[bibtex]

Feature Learning

[42] C. Liu, Y. Yao, D. Luo, Y. Zhou, Q. Ye, "Self-supervised Motion Perception for Spatio-temporal Representation Learning,"  IEEE Trans. Neural Networks Learn. Syst. (TNNLS), 2022.[source-code].

[43] X. Zheng, R.  Ji, Y.  Chen, Q. Wang, B. Zhang, Q. Ye, J. Chen, F.  Huang, Y.  Tian, MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search, IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI), DOI: 10.1109/TPAMI.2021.3050494. [pdf][source-code].

[44] B Lin, Y Zhu, Y Long, X Liang, Q Ye, L Lin, Retreat for Advancing: Dynamic Reinforced Instruction Attacker for Robust Visual Navigation, IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI), DOI:10.1109/TPAMI.2021.3097435. [pdf]

[45]  M. Lin, L. Cao, S. Li, Q. Ye,  Y. Tian, J. Liu, Q. Tian, R. Ji, "Filter Sketch for Network Pruning,"  IEEE Trans. Neural Networks Learn. Syst. (TNNLS) , 2021.

[46] Y. Tian, C. Liu, L. Xie, J. Jiao, Q.Ye,  Discretization-aware Architecture Search, Pattern Recognition, 2021. [pdf][code]

[47] Y. Ding, Z. Han, Y. Zhou, Y. Zhu, J. Chen, Q. Ye, J. Jiao, Dynamic Perception Framework for Fine-grained Recognition, IEEE Trans. Circuits Syst. Video Technol. (T-CSVT) , To be published.

[48] Y. Li, S. Lin , J. Liu, Q. Ye, M. Wang, F. Yang, J. Ma, Q. Tian, R. Ji, "Towards Compact CNNs via Collaborative Compression," IEEE CVPR 2021.

[49] X. Zheng, R. Ji, Q. Wang, Q. Ye, Q. Tian, "Rethinking Performance Estimation in Neural Architecture Search," IEEE CVPR, 2020 [pdf][source-code].

[50] X. Dong, H. Liu, L. Cao, R. Ji, Q. Ye, Q. Tian, J. Liu, "API-Net: Robust Generative Classifier via a Single Discriminator," ECCV 2020 (To Appear).

[51] Y. Zhai, Q. Ye, S. Lu, M. Jia, R. Ji, Y. Tian,"Multiple Expert Brainstorming for Domain Adaptive Person Re-identification," ECCV 2020 (To Appear).

[52] P. Wei, Z. Xie, H. Lu, Z.  Zhan, Q. Ye, W. Zuo, L. Lin, "Component Divide-and-Conquer for Real-World Image Super-Resolution," ECCV 2020 (To Appear).

[53] L. Zhuo, H. Chen, B. Zhang, Q. Ye, etc., "Cogradient Descent for Bilinear Optimization," IEEE CVPR 2020. [pdf][source_code

[54] J. Hu, R. Ji, S. Zhang, X. Sun, Q. Ye, "Information Competing Process for Learning Diversified Representations," NeurIPS 2019. [pdf]

[55] Y. Ding, Y. Zhou, Y. Zhu, Q. Ye, J. Jiao, "Selective Sparse Sampling for Fine-grained Image Recognition,"  IEEE ICCV, 2019. [pdf][source-code]

[56] C. Liu, F. Wang, Y. Yao, X. Zhang, Q. Ye, "Orthorgnal Decomposition Network For Pixel-wise Binary Classification," IEEE CVPR, 2019. [pdf]

[57] 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," IEEE CVPR, 2019. [pdf].

[58] L. Zhuo, B. Zhang, C. Chen, Q. Ye, J. Liu, D. Doermann, Calibrated Stochastic Gradient Descent for Convolutional Neural Networks, AAAI 2019.

[59] 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. 

[60] C. Liu, W. Ke, F. Qin, Q. Ye, "Linear Span Network for Object Skeleton Detection," ECCV, 2018[pdf]-[source code]-[bibtex]

[61] W. Ke, J. Chen, J. Jiao, and Q. Ye, "SRN: Side-output Residual Network for Object Symmetry Detection in the Wild," IEEE CVPR. (Oral). [pdf]-[source code]-[bibtex]

[62] Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao, "Oriented Response Networks," IEEE CVPR, 2017. [pdf]-[source code]-[bibtex]

Object Detection (older)

[63] S. Gao, Q. Ye,  K. Arjan, L. Liu, X. Ji, A Graphical Social Topology Model for RGB-D Multi-Person Tracking,  IEEE Trans. Circuits Syst. Video Technol. (T-CSVT) 10.1109/TCSVT.2021.3049397, 2020. [pdf]

[64] 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].

[65]  F.  Liang, L. Duan, W. Ma, Y. Qiao, J. Miao, Q. Ye, Context-aware Network for RGB-D Salient Object Detection,  Pattern Recognition, 2020( (To Appear).

[66] F. Liang, L. Duan, W. Ma, Y. Qiao, Z. Cai, J. Miao, Q. Ye, "CoCNN: RGB-D Deep Fusion for Stereoscopic Salient Object Detection," Patter Recognition. 104: 107329 (2020). [pdf].

[67] X. Yu, Y. Gong, N. Jiang, Q. Ye, Z. Han,"Scale-match for Tiny Person Detection,"  WACV, 2020 [pdf].

[68] T. Zhang, Z. Han, H. Xu, B. Zhang, Q. Ye, "CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection,"  IEEE Trans. Intell. Transp. Syst. (T-ITS), 2019 [pdf].

[69] C. Li, B. Zhang, Q. Ye,  "Deep Manifold Structure Transfer for Action Recognition," IEEE Trans. Image Process. (TIP) 28(9): 4646-4658 (2019). [pdf]

[70] X. Liu, C. Li, H. Wang, X. Zhen, B. Zhang, Q. Ye, "Starts Better and Ends Better: A Target Adaptive Image Signature Tracker,"  WACV, 2019.

[71Q. Ye, T. Zhang  "Progressive Latent Model for Self-learning Scene-specific Pedestrian Detectors,"  IEEE Trans. Intell. Transp. Syst. (T-ITS), 10.1109/TITS.2019.2911315, 2020.[pdf].

[72] Z. Han, P. Wang, Q. Ye, "Adaptive Discriminative Deep Correlation Filter for Visual Object Tracking," IEEE Trans. Circuits Syst. Video Technol. (T-CSVT) 30(1): 155-166 (2020). [pdf]

[73] P. Wei, F. Qin, F. Wan, Y. Zhu, J. Jiao and Q. Ye, "Correlated Topic Vector for Scene Classification", IEEE Trans Image Process. (TIP), 26(7):3221-3234 (2017). [pdf]-[bibtex]

[74] 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 Trans. Image Process. (TIP), 26(12):5575-5589 (2017)[pdf]-[bibtex]

[75] 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 Trans. Systems, Man, and Cybernetics, 47(4):693-703 (2017).  [pdf]-[bibtex]

[76Q. Ye, D. S. Doermann, "Text Detection and Recognition in Imagery: A Survey,"  IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), 37(3):1480-1500 (2015). [pdf]-[bibtex]

[77] 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 Trans. Intell. Transp. Syst. (T-ITS), 16(5): 2814-2825 (2015). [pdf]-[bibtex]

[78] 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 Trans. Instru. and Measure. (TIM), 6(4):742-752 (2014). [pdf]-[bibtex]

[79Q. Ye, Z. Han, J. Jiao, J. Liu, "Human Detection in Images via Piecewise Linear Support Vector Machines," IEEE TransImage Process. (TIP), 22(2):778-789 (2013). [pdf]- [source code]-[bibtex

[80Q. Ye, J. Liang, J. Jiao, "Pedestrian Detection in Video Images via Error Correcting Output Code Classification of Manifold Subclasses," IEEE Trans. Intell. Transp. Syst. (T-ITS), 13(1): 193-202 (2012). [pdf]-[bibtex]

[81] 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]

[82] 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]

[83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]

[84] R. Xu, B. Zhang, Q. Ye, J. Jiao, "Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection," IEEE CVPR, 2010. [pdf]-[bibtex].

[85] J. Jiao, Q. Ye, Q. Huang, "A Configurable Method for Multi-style License Plate Recognition," Pattern Recognition,  32(3):358--369, 2009. [pdf]-[bibtex]

[86Q.  Ye, Q. Huang, W. Gao, S. Jiang, "Exciting event detection in broadcast soccer video with mid-level description and incremental learning," ACM Multimedia pp.455-458, 2005. [pdf]

[87] Q. Ye, Q. Huang, W. Gao, D. Zhao, "Fast and robust text detection in images and video frames," Image Vis. Comput. (IVC) 23(6): 565-576 (2005). [pdf]

[88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]

[89] Q. Ye, W. Gao, W. Zeng, "Color image segmentation using density-based clustering," IEEE ICASSP (3) 2003: 345-348. [pdf]