Jinli SUO, Ph.D.
Lecturer
Department of Automation, Tsinghua University
Beijing 100084, China
Tel: +86 (10) 6279 4703
Fax: +86 (10) 6278 8613 804
Email: jlsuo@tsinghua.edu.cn

Education background

Ph. D., Graduate University of Chinese Academy of Sciences, Beijing, China, 2010
B. E., Shandong University, Shandong, China, 2004

Experience

 Postdoc researcher, Department of Automation, Tsinghua University, 2010-2012
 Lecture, Department of Automation, Tsinghua University, 2012-present

Concurrent Academic

Computational photography
Computer vision and Pattern recognition
Statistical learning

Social service

 2012- Frontier of Computer Science (SCI), Associate Editor
 2013- IEEE International Workshop on Computational Cameras and Displays, Program Committee and Reviewers
 2014 and 2016 Asian Conference on Computer Vision(ACCV), Program Committee and Reviewers
 2014 Light field for computer vision workshop, Program Committee and Reviewers

 

Research Status

“Studies on shake removal of large-depth-range scenes in computational photography”, 2012.1-2015.12, Sponsor: National Natural Science Foundation of China.

“Multidimensional multiscale high resolution computational microscopy: Multichannel imaging and super-resolution”, 2014.01-2018.12, Sponsor: National Natural Science Foundation of China.

“Implementation and validation of 2D-to-3D vision conversion algorithm on FPGA”, 2013.07-2013.12, Sponsor: Tsinghua Graduate School at Shenzhen

Honors And Awards

2015, Key technologies and applications of stereo perception and modeling,China institute of electronic information science and technology awards (1st Prize, ranked 2)

2014, New technologies and applications of large scale intelligent video surveillance, Beijing Science and Technology Award (2nd Prize, ranked 3)

2012, Outstanding Postdoctoral Award of Tsinghua University

2010, Chinese Academy Science Presidential Scholarship (Excellent Prize)

 

Academic Achievement

Journal papers (Selected)

1.      J. Suo, D. An, X. Ji, H. Wang, and Q. Dai, Fast and High Quality Highlight Removal from A Single Image, to appear in IEEE Trans. Image Processing 2016.

2.      T. Yue, J. Suo, X. Cao, and Q. Dai, Efficient Method for High Quality Removal of Non-uniform Blur in Wavelet Domain, to appear in IEEE Trans. Circuits and Systems for Video Technology 2016.

3.      L. Bian, G. Zheng, K. Guo, J. Suo, C. Yang, F. Chen, Q. Dai, Motion-corrected Fourier ptychography, to appear in Biomedical Optics Express 2016.

4.      R. Wu, J. Suo, F. Dai, Y. Zhang, and Q. Dai, Scattering Robust 3D Reconstruction via Polarized Transient Imaging, Optics Letters, vol. 41, no. 17, pp. 3948-3951, 2016.

5.      L. Bian, J. Suo, X. Hu, F. Chen and Q. Dai, Efficient single pixel imaging in Fourier space, Journal of Optics, vol. 18, no. 8, pp. 085704, 2016.

6.      L. Bian, J. Suo, J. Chung, X. Ou, C. Yang, F. Chen & Q. Dai, Fourier Ptychographic Reconstruction Using Poisson Maximum Likelihood and Truncated Wirtinger Gradient, Scientific Reports, Vol. 6, No. 27384, 2016.

7.      J. Wu, B. Xiong, X. Lin, J. He, J. Suo, and Q. Dai, Snapshot Hyperspectral Volumetric Microscopy, Scientific Reports, Vol. 6, No. 24624, 2016.

8.      L. Bian, J. Suo, G. Situ, Z. Li, J. Fan, F. Chen, and Q. Dai, Multispectral Imaging Using A Single Bucket Detector, Vol. 6, No. 24752, Scientific Reports, 2016.

9.      Z. Li, J. Suo, X. Hu, and Q. Dai, Content-adaptive ghost imaging of dynamic scenes, Optics Express, Vol. 24, No. 7, pp. 7328-7336, 2016.

10.    Y. Wang, J. Suo, J. Fan, and Q. Dai, Hyperspectral Computational Ghost Imaging via Temporal Multiplexing, IEEE Photonics Technology Letters (PTL), Vol. 28, No. 3, pp. 288-291, 2016.

11.    D. An, J. Suo, H. Wang, and Q. Dai, Illumination estimation From Specular Highlight in A Multi-Spectral Image, Optics Express, Vol. 23, No. 13, pp. 17008-17023, 2015.

12.    X. Hu, J. Suo, T. Yue, L. Bian and Q. Dai, Patch-Primitive Driven Compressive Ghost Imaging, Optics Express, Vol. 23, No. 9, pp. 11092-11104, 2015.

13.    L. Bian, J. Suo, G. Zheng, K. Guo, F. Chen and Q. Dai, Fourier Ptychographic Reconstruction Using Wirtinger Flow Optimization, Optics Express, Vol. 23, No. 4, pp. 4856-4866, 2015.

14.    L. Bian, J. Suo, F. Chen and Q. Dai, Multi-Frame Denoising Of High Speed Optical Coherence Tomography Data Using Inter-Frame And Intra-Frame Priors, Journal of Biomedical Optics, Vol. 20, No. 3, Article 036006, 2015.

15.    X. Lin, J. Suo, Q. Dai, Extracting Depth and Radiance from a Defocused Video Pair, IEEE Trans. Circuits and Systems for Video Technology, Vol. 25, No. 4, pp. 557-569, 2015.

16.    T. Yue, J. Suo, Y. Xiao, L. Zhang and Q. Dai, Image Quality Enhancement Using Original Lens via Optical Computing, Optics Express, Vol. 22, No. 24, pp. 29515-29530, 2014.

17.    L. Bian, J Suo, G Situ, G Zheng, F Chen and Q Dai, Content Adaptive Sparse Illumination For Fourier Ptychography, Optics Letters, Vol. 39, No. 23, pp. 6648-6651, 2014.

18.    T. Yue, J. Suo, and Q. Dai, High-Dimensional Camera Shake Removal with Given Depth Map, IEEE Trans. Image Processing, Vol. 23, No. 6, pp. 2688-2703, 2014.

19.    Y. Peng, J. Suo, W. Xu and Q. Dai, Reweighted Low-Rank Matrix Recovery and its Application in Image Restoration, IEEE Trans. Cybernetics, Vol. 44, No. 12, pp. 2418-2430, 2014.

20.    J. Suo, Y. Deng, L. Bian, Q. Dai, Joint Non-Gaussian Denoising and Superresolving of Raw High Frame Rate Videos, IEEE Trans. Image Processing, Vol. 23, No. 3, pp. 1154-1168. 2014.

21.    J. Suo, L. Bian, F. Chen and Q. Dai, Bispectral Coding: Compressive and High Quality Acquisition of Fluorescence and Reflectance, Optics Express, Vol. 22, No. 2, pp. 1697-1712, 2014.

22.     J. Suo, X. Chen, S. Shan, W. Gao and Q. Dai, A Concatenational Graph Evolution Aging Model, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 34, No. 11, pp. 2083-2096, Nov. 2012.

 

Conference papers (Selected)

1.      T. Yue, J. Suo, J. Wang, X. Cao, and Q. Dai, Blind Optical Aberration Correction by Exploring Geometric and Visual Priors, International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, Jun. 8-Jun. 10, 2015.

2.      C. Ma, X. Lin, J. Suo, G. Wetzstein and Q. Dai, Transparent Object Reconstruction via Coded Transport of Intensity, International Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, Jun. 24-Jun. 27, 2014. (Oral)

3.      C. Ma, J. Suo, Q. Dai, R. Raskar, and G. Wetzstein, High-rank Coded Aperture Projection for Extended Depth of Field, International Conference on Computational Photography, Cambridge Massachusetts, USA, Apr. 19-Apr. 21, 2013.

4.      X. Lin, J. Suo, Q. Dai, R. Raskar, and G. Wetzstein, “Coded Stack Photography”, International Conference on Computational Photography, Cambridge Massachusetts, USA, Apr. 19-Apr. 21, 2013.

5.      J. Suo, X. Chen, S. Shan and W. Gao, “Learning Long Term Face Aging Patterns from Partially Dense Aging Databases”, Int’l Conf. Computer Vision, Kyoto, Japan, Sept. 27-Oct. 3, 2009.

6.   J. Suo, F. Min, S. C. Zhu, S. Shan and X. Chen, “A Multi-Resolution Dynamic Model for Face Aging Simulation”, IEEE Int’l Conf. Computer Vision and Pattern Recognition, Minneapolis, Minnesota, USA, Jun. 18-23, 2007.