General

Qixiang Ye received his B.S. and M.S. degrees 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, directed by Prof. Wen Gao. 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, particularly for weakly supervised and self-supervised visual modeling. After publishing more than 40 papers in top conference including IEEE CVPR, ICCV, ECCV, NeurIPS, and PAMI,he recieved the Sony Outstanding Paper Award and the LuJiaXi Young Researcher Award. He is a Senior Member of IEEE and on the editorial board of Journal of Visual Computer (Springer).
Address: University of Chinese Academy of Sciences, A-2 BLDG, RM.457,  Huairou District, Beijing, China, 101408.

Co-fund Pri-SDL with Prof. Jianbin Jiao and Zhenjun Han: www.ucassdl.cn Email: qxye at ucas dot ac dot cn  ScholarPage

部门/实验室:电子电气与通信工程学院

News

Nov. 2019: Two papers are accepted by AAAI2020, SPSTracker achieves highest EAOCon! [Chang, Qintao]

Oct. 2019: To be IJCAI2020 Senior Programm Committee (SPC) Member

Sep. 2019: Two papers are accepted by NeurIPS 2019, FreeAnchor-Best One-stage Detector. Con! [Xiaosong and HuJie]

Jul. 2019: Two papers are accepted by ICCV 2019, Con! [Yao Ding and Haolan]

Jun. 2019: We won the CVPR 2019 SkelNetOn 2019, Con! [Chang]

May.2019: To be IEEE ICCV 2019 Program Committee Member

Mar.2019: A Large-scale Security Inspection X-ray Benchmark (SixRay) released. CVPR2019 paper [pdf]  [iFeng News] [Con! CaiJing].

Feb.2019: Five Papers accepted to IEEE CVPR 2019 [Con! Fang Yi, Chang, and CaiJing].

Feb.2019: Weakly Supervised Object Detection, Localization, and Instance Segmentation: A Tutorial at Valse Seminar [TalkSlides]
Jan.2019: Min-entropy Latent Model for Weakly Supervised Object Detection Accepted by PAMI [Con! Fang][paper][torch-code][pytorch-code]
Jan.2019: To be IJCAI2019 Program Committee Member
Dec.2018: Outstanding Researcher of Younth Innovation Promotion Association,  Chinese Academy of Sciences [News]
Nov.2018: IEEE CVPR 2018 Program Committee Member
Jun.2018:  Invited Talk about Side-residual Network and Linear Span Network at SumSung Research [Slides-Paper-Code]
Mar.2018: Three Papers accepted At IEEE CVPR 2018, inlcuding a spotlight paper [Con!Yanzhao, Weijian, Fang].
Mar.2018: Wei Ke, my first PH.D student, was hornored CAS President Award [Link]
Sep.2017: Winner of first Aerial Object Detection Competition [Con! Yanzhao, Weijian, Fang and Yi] [News]
Mar.2017: Winer of ICCV 2017 Symmetry Detection Competition [Link]
Nov.2017: IEEE CVPR 2018 Program Committee Member
Mar.2017: Three Papers accepted At IEEE CVPR 2017, , inlcuding an Oral paper [Con! WeiKe,Yanzhao[News]
Jun. 2016: Invited Talk about Text Detection and Recognition[PAMI Survey Paper]
May.2015: Natural Science Award from Chinese Institute of Electronics.
May.2014: Young Researcher Promotion Project of Chinese Academy of Sciences [News]

Experience

Bachelor and 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
Visiting Assitant Professor of University of Maryland, College Park, from 2012 to 2013
Visiting Scholar of Electrical and Computer Engineering, Duke, 2016 
Full Professor of University of Chinese Academy of Sciences, from January 2016

Students

   
PH.D and Masters

1.  Tianliang Zhang    Ph. D student since fall 2017. Research Areas: Visual Object Detection
2.  Chang Liu             Ph. D student since fall 2017. Research Areas: Deep Feature Learning
3.  Boyu Yang            Ph. D student since fall 2018. Research Areas: Few-shot Object Segmentation
4.  Zonghao Guo       Ph. D student since fall 2019. Research Areas: Visual Object Detection
5.  Haolan Xue          Master student since fall 2017. Research Areas:  Weakly Supervised Object Localization
6.  Wei Gao               Master student since fall 2018. Research Areas:  Weakly Supervised Active Object Detection
7.  Xiaosong Zhang   Master student since fall 2018. Research Areas:  Visual Object Detection
8.  Mengying Fu        Master student since fall 2019. Research Areas:  Weakly Supervised Object Localization
9.  Tianing Yuan        Master student since fall 2019. Research Areas:  Visual Self-learning
10.Yunxiao Zhang     Master student since fall 2019. Research Areas:  Visual Object Detection

Album

1. Bo Wu                (2011)  Master , Visual Object Detection, Agricalture Bank of China
2. Dongsheng Yu   (2011)   Master, , Visual Object Detection,  Tecent
3. Jixiang Liang      (2013)  Master, Visual Object Detection, Agricalture Bank of China  (Hornored Natinal Scholarship 2012) 
4. Yaozhang           (2015)  Master, Visual Object Detection,   China Aerospace Science and Industrial Corporation
5. Yanting Cui         (2015)  Master, Visual Object Detection,  Alibaba
6. Xiansong Huang (2017)  Master, Visual Object Detection, Ctrip
7. Yanran  Liu         (2017)  Master, Visual Object Detection,  Datang Telecom
8. Wei Ke                (2018)  Ph. D , Object and Symmetry Detection, Carnegie Mellon University,  (Hornored Natinal Scholarship, CAS President Scholarship 2017) 

9. Caijing Miao         (2019) Master, Weakly Supervised Object Localization, KingSoft

10. Fang Wan          (2019)  Ph. D, Weakly Supervised Object Detection, UCAS

Honors & Distinctions

1.Outstanding Researcher of Youth Innovation Promotion Association, Chinese Academy of Sciences, 2018. 

2."LuJiaXi" Outstanding Young Researcher Awards, 2014
3.Top-10 most Cited Papers in The Past Five Years of Image and Vision Computing, 2010
4.Outstanding Course of Chinese Academy of Sciences, 2007 and 2009
5.CAS-Sony Outstanding Paper Award 2005
6.Scholarship of Institute of Computing Technology, Chinese Academy of Sciences, 2005

Publications & Code

Object Detection & Tracking (new)

[1] 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]

[2] 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

[3] D. Luo, C. Liu, Y. Zhou, Q. Ye, etc.,  Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning, AAAI 2020. [To Appear]

[4] H. Xue, C. Liu, F. Wan, J. Jiao, Q. Ye, "Maximizing Learner Descrepancy for Weakly Supervised Object Localization," in Proc. of IEEE Int. Conf. on Computer Vision  (ICCV), 2019. [pdf] [source-code]

[5] F. Wan, C. Liu, X. Ji, J. Jiao, Q. Ye, "CMIL: Continuation Multiple Instance Learning for Weakly Supervised object Detection," in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral). [pdf][source-code]

[6] Y. Zhu, Y. Zhou, H. Xu, Q. Ye, D. Doeramann, J. Jiao, "Learning Instance Activation Maps for Weakly Supervised Instance Segmentation," in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2019 [pdf].

[7] 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. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2019 [pdf][dataset&code]

[8] 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.2019.2898858. [IEEE PAMI PDF][Arxiv PDF][Code][pytorch-code]

[9] F. Wan, P. Wei, Z. Han, J. Jiao, Q. Ye, “Min-entropy Latent Model for Weakly Supervised object Detection,”   in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2018: 1297-1306. [pdf]-[source code]-[bibtex]

[10] Y. Zhou, Y. Zhu, Q. Ye, Q. Qiu, J. Jiao, “Weakly Supervised Instance Segmentation using Class Peak Response,”   in Proc. of  IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight). [pdf]-[source code]-[bibtex]

[11] 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. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2018.  [pdf]-[source code]-[bibtex]

[12] 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. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. [pdf]-[source code]-[bibtex]

[13] 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. [pdf]-[source code]-[bibtex]

Deep Feature Learning

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

[15] Y. Ding, Y. Zhou, Y. Zhu, Q. Ye, J. Jiao, "Selective Sparse Sampling for Fine-grained Image Recognition,"  in Proc. of IEEE Int. Conf. on Computer Vision  (ICCV), 2019. [pdf][source-code]

[16] C. Liu, F. Wang, Y. Yao, X. Zhang, Q. Ye, "Orthorgnal Decomposition Network For Pixel-wise Binary Classification," in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2019. [pdf]

[17] 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. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2019. [pdf].

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

[19] 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. 

[20] C. Liu, W. Ke, F. Qin, Q. Ye, "Linear Span Network for Object Skeleton Detection," in Proc. of European Computer Vision Conference (ECCV), 2018. [pdf]-[source code]-[bibtex]

[21] 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: 302-310. (Oral). [pdf]-[source code]-[bibtex]

[22] 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. [pdf]-[source code]-[bibtex]

Visual Object Detection (older)

[23] 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].

[24] C. Li, B. Zhang, Q. Ye, "Deep Manifold Stucture Transfer for Action Recognition,"  IEEE Transactions on Image Processing, 2019, To Appear.

[25] 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. of WACV, 2019(To Appear)

[26] Q. Ye, T. Zhang  "Progressive Latent Model for Self-learning Scene-specific Pedestrian Detectors,"  IEEE Transactions on Intelligent Transportation Systems, 2019 [pdf].

[27] 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).

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

[29] 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]

[30] 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]

[31] 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]

[32] 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]

[33] 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, 6(4):742-752 (2014). [pdf]-[bibtex]

[34] 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]

[35] 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]

[36] 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]

[37] 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]

[38] 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. [pdf]-[bibtex].

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

Teaching

Machine Learning from 2014-2019 Slides
Reinforecment Learning: from AlhpaGo to AlphaZero 2018 Spring, 2019 Spring slides