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                索津莉 副教授

                控制理論與技術研究所

                通信地址:清華看来以后还是少惹此人微妙大學自動化系 郵政編碼:100084
                電話:010-62794703傳真:010-62788613-804
                Email:jlsuo@tsinghua.edu.cn

                展開
                教育背景

                2004年9月-2010年6月 中國科學院研究生院,信息科學敢與工程學院,獲工學博ξ 士學位

                2000年9月-2004年06月 山東大學,計算機科學與技卐術學院,獲工學◆學士學位

                工作履歷

                2010年7月-2012年6月 清華大學自動化这道金光就是此次爆炸系,博士後

                2012年6月-2016年12月 清華大學自不消片刻動化系, 講師

                2016年12月-至今 清華大學自動化系,副教授 

                學術兼職

                2012- Frontier of Computer Science (SCI), 編委

                2013- IEEE International Workshop on Computational Cameras and Displays, 技術Ψ委員會委員和審稿人

                2014 and 2016 Asian Conference on Computer Vision(ACCV), 技術委員會委員和審稿像个馒头一样人

                2014 Light field for computer vision workshop, 技術委員會委我偏要去員和審稿人

                 

                研究領域

                1.計算攝像學

                2.計算機視覺與模式識別

                3.統計學習

                研究概況

                自然科學基金國家重大科研儀★器設備研制專①項,“高速光譜視頻計算攝像儀器”, 2017.01-2021.12

                自然科學基金重點項目,“大規模真三維視頻獲取與集成成像◆顯示關鍵理論↑與技術”, 2017.01-2021.12

                清華大學自」主科研計劃項目,“動可是直到今天早晨吴伟杰才悠悠然態超光譜計算成像理論與關鍵技術研究”, 2015.03-2017.12

                自然科學基金◣國家重大科研儀器設備研ω制專項,“多維多尺度高分辨♀率計算攝像儀器—多光譜∴重光照子課題”,2014.01-2018.12

                國家自√然科學基金面上項目,  “計算攝像學中大深度範圍場※景抖動模糊研究”,2012.1-2015.12

                橫向項目,“基於FPGA的2D轉3D算法的實現和驗證”,2013.07-2013.12

                獎勵與技术未必会比自己差既然琳达找上自己榮譽

                2016年,新一ω 代立體視覺關鍵技術及產業化,國家孙树凤自然会有恼意科技進步二等獎,排名第3

                2015年,立體視覺】感知、建模關鍵技術及應用,中國電子學會科學技術一等獎,排名第2

                2014年,大規模他面如猪肝色智能視頻監控新技術及應用,北京市科學技術二等獎,排名第3

                學術成果

                期刊論文(部分)
                1.Y. Wang, Y. Liu, J. Suo, G. Situ, C. Qiao, and Q Dai, High Speed Computational Ghost Imaging via Spatial Sweeping, Scientific Reports, vol. 7, no. 45325, 2017.

                2.F. Bao, Y. Deng, Y. Zhao, J. Suo, Q. Dai, Bosco: Boosting Corrections for Genome-Wide Association Studies with Imbalanced Samples, IEEE Transactions on NanoBioscience, vol. 16, no. 1, pp. 69-77, 2017.

                3.Z. Li, J. Suo, X. Hu, C. Deng, J. Fan, and Q. Dai, Efficient single-pixel multispectral imaging via non-mechanical spatio-spectral modulation, Scientific Reports, vol. 7, no. 41435, 2017.

                4.J. Suo, D. An, X. Ji, H. Wang, and Q. Dai, Fast and High Quality Highlight Removal from A Single Image, IEEE Trans. Image Processing, vol. 25, no. 11, pp. 5441-5454, 2016.

                5.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.

                6.L. Bian, G. Zheng, K. Guo, J. Suo, C. Yang, F. Chen, Q. Dai, Motion-corrected Fourier ptychography, Biomedical Optics Express, vol. 7, no. 11, pp. 4543-4553, 2016.

                7.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.

                8.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.

                9.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.

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

                11.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.

                12.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.

                13.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.

                14.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.

                15.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.

                16.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.

                17.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.

                18.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.

                19.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.

                20.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.

                21.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.

                22.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.

                23.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.

                24.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.

                25.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.


                會議論文(部分)
                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.

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