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 tenured 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 detection and machine learning, particularly for weakly supervised and self-supervised visual modeling. With more than 60 papers publised in CVPR, ICCV,  NeurIPS, AAAI, ECCV, TNN, TIP, and PAMI, he recieved the Sony Outstanding Paper Award and the LuJiaXi Young Researcher Award. He is a Senior Member of IEEE and the SPC of IJCAI 2020. He is on the editorial board of Journal of Visual Computer (Springer) since 2019.

Co-Funding Pri-SDL with Prof. Jianbin Jiao & Zhenjun Han
Address: University of Chinese Academy of Sciences, A-2 BLDG, RM.457,  Huairou District, Beijing, China, 101408.

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

Aug. 2020, Anual Progress Review at Valse 2020 [slides]

Jul. 2020: Four papers are accepted by ECCV 2020. Con![Boyu, Pengxu, Xinshuan, Yunpeng] 

Apr. 2020:  SRN(Side-Output Residual Network [source_code])Accepted by IEEE TNNLS,Con! WeiKe

Mar. 2020: To be NeurIPS, ECCV 2020 Program Committee Member.

Mar. 2020: Five papers are accepted by CVPR 2020. Con![WeiKe,Chang,Yi, YaoYuan, Yunpeng] 

Nov. 2019: Two papers are accepted by AAAI 2020, 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: Feature Representation Learning

3.  Boyu Yang            Ph. D student since fall 2018. Research Areas: Few-shot Object Detection

4. Xiaosong Zhang    Master student since fall 2018. Research Areas:  Visual Object Detection

5.  Zonghao Guo       Ph. D student since fall 2019. Research Areas: Visual Object Detection

6.  Yuan Yao              Ph.D  student since fall 2019. Research Areas:  Self-supervised Learning

7.  Wei Gao                Master student since fall 2018. Research Areas:  Weakly Supervised Active 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

11.Feng Liu               Master student since fall 2020. Research Areas:  Visual Object Detection

12.Mingxiang Liao   Master student since fall 2020. Research Areas:  Visual Object Detection

13.Bohao Li              Master student since fall 2020. 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 Detection, KingSoft

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

11. Haolan Xue        (2020) Master, Weakly Supervised Object Detection, Alibaba DAMO

12. Jinge Ma            (2020) Bachelor,  Visual Object Detection, Dresden University of Technology

13. Tianliang Zhang (2020) Ph. D,  Visual Object Detection, Tecent,  (Hornored Natinal Scholarship 2020) 

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 (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), 10.1109/TNNLS.2020.2994325. [source_code]

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

[3] 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]

[4] B. Yang, C Liu, B. Li, J. Jiao, "Prototype Mixture Models for Few-shot Semantic Segmentation," ECCV 2020. (To Appear)

[5] 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

[6] Y. Yao, C. Liu, D. Luo, Y. Zhou, Q. Ye, " Self-Supervised Spatio-Temporal Feature Learning," in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2020 [source-code]. 

[7] 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][Source-code]

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

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

[10] 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]

[11] 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].

[12] 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]

[13] 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. 41(10): 2395-2409 (2019). [IEEE PAMI PDF][Arxiv PDF][Code][pytorch-code]

[14] 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]

[15] 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]

[16] 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]

[17Q. 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]

[18] 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

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

[20]  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).

[21] 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).

[22] 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).

[23] 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). 

[24] 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).

[25] L. Zhuo, H. Chen, B. Zhang, Q. Ye, etc., "Cogradient Descent for Bilinear Optimization," in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2020 (To Appear). 

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

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

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

[29] 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].

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

[31] 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. 

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

[33] 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]

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

Object Detection (older)

[35] 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].

[36] 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].

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

[38] T. Zhang, Z. Han, H. Xu, B. Zhang, Q. Ye, "CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection," IEEE Trans. on Intelligent Transportation Systems, 2019 [pdf].

[39] C. Li, B. Zhang, Q. Ye, "Deep Manifold Stucture Transfer for Action Recognition,"  IEEE Trans. Image Processing, 2019. [pdf]

[40] 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.

[41Q. Ye, T. Zhang  "Progressive Latent Model for Self-learning Scene-specific Pedestrian Detectors,"  IEEE Trans. Intelligent Transportation Systems, 2019 [pdf].

[42] Z. Han, P. Wang, Q. Ye, "Adaptive Discriminative Deep Correlation Filter for Visual Object Tracking," IEEE Trans. Circuit and System on Video Technology, 2019. [pdf]

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

[44] 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 Processing, 26(12):5575-5589 (2017)[pdf]-[bibtex]

[45] 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]

[46Q. 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]

[47] 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. Intelligent Transportation Systems, 16(5): 2814-2825 (2015). [pdf]-[bibtex]

[48] 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. Instrumentation and Measurement, 6(4):742-752 (2014). [pdf]-[bibtex]

[49Q. Ye, Z. Han, J. Jiao, J. Liu, "Human Detection in Images via Piecewise Linear Support Vector Machines," IEEE Trans. Image Processing, 22(2):778-789 (2013). [pdf]- [source code]-[bibtex]

[50Q. Ye, J. Liang, J. Jiao, "Pedestrian Detection in Video Images via Error Correcting Output Code Classification of Manifold Subclasses," IEEE Trans. Intelligent Transportation Systems, 13(1): 193-202 (2012). [pdf]-[bibtex]

[51] 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]

[52] 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]

[53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]

[54] 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].

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

[56Q.  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]

[57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]

Teaching

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