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                師資隊伍
                索津莉

                副教授

                腦出宾馆與認知科學研究所

                電話: 010-62788613-839 Fax:010-62788613-804
                地點:清華大學自動╱化系


                教育背景


                2004年9月-2010年6月 中國科學院研究生院,信息科學與『工程學院,獲工學博士學位

                2000年9月-2004年06月 山東大學,計算機︼科學與技術學院,獲工學學士學强悍以及招式位


                工作履歷


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

                2012年6月-2016年12月 清華大學〒自動化系,講師

                2010年7月-2012年6月 清華大學自動化系▲,博士後


                學術兼職


                2012-2018,Frontiers of Computer Science (SCI), 編委

                2019-,Journal of the Optical Society of America A,編委


                研究領域


                1.計算说道攝像學

                2.計算∏機視覺

                3.統計學習


                獎↙勵與榮譽


                2019年,光譜視頻計算攝像技術∑及裝置,中國電子學會科學◇技術一等獎,排名第2

                2016年,新一代立體視覺關鍵技術及產業化,國家但是当下他收起了玩意科技進步二等獎,排名第3

                2015年,立々體視覺感知、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


                學術論文


                高通量計算也就是宿清帮成像

                1.Y. Liu, X. Yuan, J. Suo, Q. Dai, Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging. IEEE International Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, Jun. 14-19, 2020.

                2.J. Fan, J. Suo, J. Wu, H. Xie, Y. Shen, F. Chen, G. Wang, L. Cao, G. Jin, Q. He, T. Li, G. Luan, L. Kong?, Z. Zheng?, and Q. Dai, Video-Rate Imaging of Biological Dynamics at Centimetre Scale and Micrometre Resolution. Nature Photonics, Vol. 13, No. 8, pp. 809-816, 2019.

                3.Y. Liu, X. Yuan, J. Suo, D. Brady, and Q. Dai, Rank minimization for snapshot compressive imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence. (Early Access)

                4.C. Deng, X. Hu, J. Suo, Y. Zhang, Z. Zhang, and Q. Dai, Snapshot hyperspectral imaging via spectral basis multiplexing in Fourier domain. Optics Express, Vol. 26, No. 25, pp. 32509-32521, 2018.

                5.T. Yue, J. Suo, X. Cao, & Q. Dai, Efficient method for high-quality removal of nonuniform blur in the wavelet domain. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 27, No. 9, pp. 1869-1881, 2017.

                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.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.

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

                9.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.

                10.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.

                單像啊素成像

                1.C. Deng, X. Hu, X. Han, J. Suo, Q. Dai, High fidelity single-pixel imaging. IEEE Photonics Journal, Vol. 11, No. 2, pp. 1-9, 2019.

                2.C. Deng, J. Suo, Y. Wang, Z. Zhang, Q. Dai, Single-shot thermal ghost imaging using wavelength-division multiplexing. Applied Physics Letters, Vol. 112, No. 5, 051107,2018.

                3.Y. Zhang, J. Suo, Y. Wang, Q. Dai, Doubling the pixel count limitation of single-pixel imaging via sinusoidal amplitude modulation. Optics express, Vol. 26, No. 6, pp. 6929-6942, 2018.

                4.Y. Liu, J. Suo, Y. Zhang, Q. Dai, Single-pixel phase and fluorescence microscope. Optics express, Vol. 26, No. 25, pp. 32451-32462, 2018.

                5.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.

                6.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.

                7.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.

                8.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.

                9.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.

                10.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.

                高分辨圖像重建

                1.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.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.

                3.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.

                4.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.

                5.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.

                6.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.

                7.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.

                8.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.