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Li Liu

Contact Information:

Center for Machine Vision and Signal Analysis, University of Oulu, Finland
Office: TS303

 

Google Scholar 

Biography

Li Liu received the B.S. degree in communication engineering, the M.S. degree in photogrammetry and remote sensing and the Ph.D. degree in information and communication engineering from the National University of Defense Technology, China, in 2003, 2005 and 2012, respectively. During her PhD study, she spent more than two years as a Visiting Student at the University of Waterloo, Canada, from 2008 to 2010. From 2015 to 2016, she visited the Multimedia Laboratory at the Chinese University of Hong Kong. From 2016.12 to 2018.12, she is a senior researcher at the Center for Machine Vision and Signal analysis of the University of Oulu, Finland.

Latest Events

1.      CFP: International Journal of Computer Vision Special Issue on Efficient Visual Recognition (Submission Opened)

2.  2nd CEFRL Workshop@ECCV 2018 “Compact and Efficient Feature Representation and Learning in Computer Vision”

3.   IEEE TPAMI Special Issue on Compact and Efficient Feature Representation and Learning in Computer Vision

Past Events

·       1st CEFRL Workshop@ ICCV 2017  “Compact and Efficient Feature Representation and Learning in Computer Vision”

Research Interests

Texture Analysis, Image Classification, Object detection, Scene understanding, Facial Analysis

Students

PhD Students:

Zhuo Su (2018-2022)

Wanxia Deng (2018-2020)

Xin Zhang

Master Students:

Jingyun Liang

Chengyu Guo

Xiaoding Chen

Shuxuan Guo

Research Grants

·        National Natural Science Foundation of China(国家自然科学基金面上基金), Principal Investigator.

·        The Hunan Provincial Natural Science Fund for Distinguished Young Scholars (湖南省杰青)Principal Investigator.

·        Excellent Young Scholar Award in National University of Defense Technology(国防科大青年拔尖人才计划)Principal Investigator.

·        National Natural Science Foundation of China(国家自然科学基金青年基金), Random Projection based Texture Feature and its Applications, Principal Investigator, 2013-2015.

·        Open Projects Program of National Laboratory of Pattern Recognition 2015-2016.

 Selected Publications (For my recent publications, please refer to my Google Scholar Page):

Publications in 2018

1. (New) Deep Learning for Generic Object Detection: A Survey, Li Liu, Wanli Ouyang, Xiaogang Wang, P. Fieguth, J. Chen, X. Liu, M. Pietikainen, https://arxiv.org/abs/1809.02165, Submitted to IJCV.

 

2. (New) From BoW to CNN: Two Decades of Texture Representation for Texture Classification, Li Liu, J. Chen, P. Fieguth, G. Zhao, R. Chellappa, M. Pietikainen, https://arxiv.org/abs/1801.10324, 1-28, 2018 (PDF download) (IJCV Minor Revision Submitted).

 

3. (New) Absent Multiple Kernel Learning Algorithms, X. Liu, L. Wang, X. Zhu, M. Li, E. Zhu, T. Liu, Li Liu and J. Yin, 2018 (IEEE TPAMI Minor Revision).

 

4. (New) Texture Classification in Extreme Scale Variations using GANet, Li Liu, J. Chen, G. Zhao, P. Fieguth, X. Chen, M. Pietikäinen, https://arxiv.org/abs/1802.04441, 1-10, 2018. (IEEE TIP Major Revision).

 

5. Localized Incomplete Multiple Kernel kmeans, X. Liu, X. Zhu, M. Li, E. Zhu, Li Liu, Z. Cai, J. Yin, W. Gao, International Joint Conference on Artificial Intelligence (IJCAI), 2018. (PDF download)

 

6. Learning Visual and Textual Representations for Multimodal Matching and Classification, Yu Liu, Li Liu, Yanming Guo, and Machael S. Lew, Pattern Recognition, 2018. (PDF download)

 

7. A Dual Prediction Network For Image Captioning, Y. Guo, Y. Liu, M. Boer, Li Liu, M.S. Lew, IEEE International Conference on Multimedia and Expo (ICME), 2018.

 

 

8. Unsupervised Cross Corpus Speech Emotion Recognition Using Domain Adaptive Subspace Learning, N. Liu, Y. Zong, B. Zhang, Li Liu, J. Chen, G. Zhao, J. Zhu, ICASSP, 2018.

 

9. Super Wide Regression Network For Unsupervised Cross Database Facial Expression Recognition, N. Liu, B. Zhang, Y. Zong, L. Liu, J. Chen, G. Zhao, J. Zhu, ICASSP, 2018.

 

10. Rotation Invariant Local Binary Convolution Neural Networks, X. Zhang, Y. Xie, J. Chen, L. Wu, Q. Ye, Li Liu, IEEE Access, 6, 18420-18430, 2018.

 

 

 

11. 自然场景图像中的文字检测综述, 王润民, 桑农, 丁丁, 陈杰,  叶齐祥, 高常鑫, 刘丽, 自动化学报, 2018.

Publications in 2017

1. Li Liu, Paul Fieguth, Yulan Guo, Xiaogang Wang, and Matti Pietikainen, Local Binary Features for Texture Classification: Taxonomy and Experimental Study, Pattern Recognition, vol. 62, pp. 135-160, 2017. (PDF)

2. J. Chen, V. Patel, Li Liu, V. Kellokumpu, G. Zhao, M. Pietikäinen, R. Chellappa, Robust Local Feature for Remote Face Recognition, Image and Vision Computing 64, 34-46 3   2017 . (PDF)

3. X. Zhang, Li Liu, Y. Xie, J. Chen, L. Wu, M. Pietikainen, Rotation Invariant Local Binary Convolution Neural Networks, International Conference on Computer Vision Workshop, 2017.

Journal Papers (Up to 2016):

  1. Li Liu and Paul Fieguth, Texture Classification from Random Features, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 3, pp. 574-586, 2012.
  2. Li Liu, Songyang Lao, Paul Fieguth, Yulan Guo, Xiaogang Wang, and Matti Pietikainen, Median Robust Extended Local Binary Pattern for Texture Classification, IEEE Trans. Image Processing, vol. 25, no. 3, pp. 1368-1381, 2016.
  3. Li Liu, Yunli Long, Paul Fieguth, Songyang Lao, and Guoying Zhao, BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification, IEEE Trans. Image Processing, vol. 23, no. 7, pp. 3071-3084, 2014.
  4. Li Liu, Yingmei Wei, Paul Fieguth, and Gangyao Kuang, Fusing Sorted Random Projections for Robust Texture Classification and Material Categorization, IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 3, pp. 482-496, 2015.
  5. Li Liu, Paul Fieguth, David Clausi and Gangyao Kuang, Sorted Random Projections for Robust Rotation Invariant Texture Classification, Pattern Recognition, vol. 45, no. 6, pp. 2405-2418, 2012.
  6. Li Liu, Lingjun Zhao, Yunli Long, Gangyao Kuang, Paul Fieguth, Extended Local Binary Patterns for Texture Classification, Image and Vision Computing, vol. 30, no. 2, pp. 80-99, 2012.
  7. Li Liu, Paul Fieguth, Guoying Zhao, and Matti Pietikainen, Dewen Hu, Extended Local Binary Patterns for Face Recognition, Information Sciences, vol. 358-359, no. 1, pp. 56-72, 2016.
  8. Li Liu, Liangsheng Wang, Lingjun Zhao, Paul Fieguth, Random Projections and Single BoW for Fast and Robust Texture Segmentation, Information Sciences, vol. 370-371, no. 20, pp. 428-445, 2016.
  9. Gui Gao, Li Liu, Lingjun Zhao, Gongtao Shi, Gangyao Kuang, An Adaptive and Fast CFAR Algorithm based on Automatic Censoring for Target Detection in High-Resolution SAR Images, IEEE Transactions on Geosciences Remote Sensing, vol. 47, no. 6, pp. 1685-1697, June, 2009.
  10. Li Liu, Yuxiang Xie, Yingmei Wei, Songyang Lao, Survey of Local Binary Pattern based Approach, Journal of Image and Graphica, vol. 19, no. 12, 2014 (In Chinese).
  11. Li Liu, Gangyao Kuang, Survey of Image Texture Feature Extraction Methods, Journal of Image and Graphica, vol. 14, no. 3, 2009 (In Chinese).
  12. Li Liu, Lingjun Zhao, and Liang Wang, Texture Feature Description: The State of the Art and Prospects, Acta Automatica Sinica, To Appear (In Chinese).
  13.  Na Wang, Gongtao Shi, Li Liu, Lingjun Zhao, Gangyao Kuang, Polarimetric SAR Target Detection Using the Reection Symmetry, IEEE Geoscience and Remote Sensing Letters, vol. 9, no. 6, pp. 1104-1108, 2012.
  14. Yuxiang Xie, Xin Zhang, Xidao Luan, Li Liu, X. Zhang, A novel specific image scenes detection method, Multimedia Tools and Applications, vol. 74. no. 1, 105-122, 2015.
  15. Yunli Long, Hui Xu, Wei An and Li Liu, Track-Before-Detect for Infrared Maneuvering Dim Multi-Target via MM-PHD, Chinese Journal of Aeronautics, vol. 25, pp. 252-261, 2012.
  16. Y. Guo, Y. Lei, L. Liu, Y. Wang, M. Bennamoun, F. Sohel, EI3D: Expression Invariant 3D Face Recognition based on Feature and Shape Matching, Pattern Recognition Letters, 2016.
  17. J. Chen, Z. Lei, L. Liu, G. Zhao, and M. Pietikainen, Editorial: RoLoD - Robust local descriptors for computer vision, Neurocomputing, 2016.

Conference Papers (Up to 2016)::

1.          Li Liu, Paul Fieguth, Xiaogang Wang, and Matti Pietikainen, Evaluation of LBP and Deep Texture Descriptors with A New Robustness Benchmark, ECCV, 2016.

2.  Li Liu, Paul Fieguth, Matti Pietikainen and Songyang Lao, Median Robust Extended Local Binary Pattern for Texture Classification, IEEE International Conference on Image Processing (ICIP), 2015, Oral Presentation.

3.  Li Liu, Paul Fieguth, Guoying Zhao and Matti Pietikainen, Extended Local Binary Pattern Fusion for Face Recognition, IEEE International Conference on Image Processing (ICIP),  2014, Oral Presentation.

4.  Li Liu, Bing Yang, Paul Fieguth, Zheng Yang and Yingmei Wei, BRINT: A Binary Rotation Invariant And Noise Tolerant Texture Descriptor, IEEE International Conference on Image Processing (ICIP), 2013.

5.  Li Liu, Paul Fieguth, Gangyao Kuang and Hongbin Zha, Sorted Random Projections for Robust Texture Classification, International Conference on Computer Vision (ICCV), 2011.

6.  Li Liu, Paul Fieguth and Gangyao Kuang, Compressed Sensing for Robust Texture Classification, Asian Conference on Computer Vision (ACCV), 2010, Oral Presentation.

7.  Li Liu, Paul Fieguth and Gangyao Kuang, Combining Sorted Random Features for Texture Classification, International Conference on Image Processing (ICIP), 2011.

8.  Li Liu, Paul Fieguth and Gangyao Kuang, Generalized Local Binary Patterns for Texture Classification, British Machine Vision Conference (BMVC), 2011.

18.    Li Liu and Paul Fieguth, Texture Classification Using Compressed Sensing, Canadian Conference on Computer and Robot Vision (CRV), 2010.

19.      Shuxuan Guo, Li Liu, Wei Wang, Songyang Lao, Liang Wang, An Attention Model Based on Spatial Transformers for Scene Recognition, International Conference on Pattern Recognition, 2016.

20.    NaWang, Li Liu, Lingjun Zhao and Jun Lu, A novel Polarimetric SAR ship detection method, Asia-Pacific International Conference on Synthetic Aperture Radar (APSAR), 2011.

21.    Wei Wang, Li Liu, Yongmei Jiang and Gangyao Kuang, Point-based Rigid Registration, Asiap-acific International Conference on Synthetic Aperture Radar (APSAR), 2011.

Professional Activities

Editorial and Cochair

·       Associate Editor of The Visual Computer Journal

·       Guest Editor of Special Issue RoLoD: Robust local descriptors for computer vision for the journal of Neurocomputing

·       Guest Editor of Special Issue Compact and Efficient Feature Representation and Learning in Computer Vision for the journal of IEEE Transactions on Pattern Analysis and Machine Intelligence

·        CoChair of the International Workshop on RoLoD: Robust local descriptors for computer vision at ACCV2014

·        CoChair of the International Workshop on RoF: Robust Features for Computer Vision at CVPR2016

·       CoChair of the International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision at ICCV2017

Journal Paper Review

·        IEEE Transactions on Pattern Analysis and Machine Intelligence

·        IEEE Transactions on Image Processing

·        IEEE Transactions on Circuits and Systems for Video Technology

·        IEEE Transactions on Signal Processing

·        IEEE Transactions on Geosciences Remote Sensing

·        Pattern Recognition

·        Image and Vision Computing

·        Computer Vision and Image Understanding

Conference Paper Review

·        Internal Conference of Computer Vision and Pattern Recognition

·        European Conference on Computer Vision

·        International Conference on Computer Vision

·        International Conference on Image Processing

·        Asian Conference on Computer Vision

Last Update: April 20, 2018

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