电子工程系

Department of Electronic Engineering


张利,教授,博士生导师
中国北京市清华大学电子工程系 100084
电话:+86-10-62781436
传真:+86-10-62770317
电子邮箱: chinazhangli@tsinghua.edu.cn

 

教育背景

1982年从山东招远考入清华大学无线电电子学系,先后从清华大学获得了学士、硕士和博士学位。

 

工作履历

1992年4月起于清华大学电子工程系任教,先后担任讲师、副教授和教授。
1987年7月至1989年8月,清华大学应用物理系教师。
  

研究领域

图像处理,无人机视觉,增强现实,手术导航,计算机图形学,计算机动画。

 

研究概况

作为课题负责人承担过包括国家863计划、国家自然科学重点基金在内的科研课题50余项。
目前,作为负责人承担的科研项目有:
(1)国家自然科学基金重点项目:无人机对地目标的跟踪与定位研究;
(2)国家自然科学基金面上项目:基于机器学习的民航安检增强技术研究;
(3)国家自然科学基金面上项目:医学手术导航;
(4)Intel合作项目:目标检测与识别,视频中的人脸置换;
(5)部委项目:三维场景重建、三维目标跟踪与增强现实;
(6)部委项目:机载大容量高速图像存储与内容识别;
(7)部委项目:激光三维点云处理;


学术成果

代表性学术论文

[1] Zhong Leisheng, Zhang Li, A Robust Monocular 3D Object Tracking Method Combining Statistical and Photometric Constraints, International Journal of Computer Vision (IJCV) , 2018 (Accepted).
[2] Zhong LS, Lu M, Zhang L, A Direct 3D Object Tracking Method Based on Dynamic Textured Model Rendering and Extended Dense Feature Fields, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018 (Accepted).
[3] Zhao SC, Zhang SL, Zhang L, Correlation Filter Learning towards Peak Strength for Visual Tracking, IEEE Transactions on Cybernetics(TC), 2018 (Accepted).
[4] Yan Han, Yu Xin, Zhang Yu, Zhong Leisheng, Zhang Li, Single Image Depth Estimation with Normal Guided Scale Invariant Deep Convolutionl Fields, IEEE Transactions on Circuits and Systems for Video Technology(TCSVT) , 2018 (Accepted).
[5] Yao Sui, Guanghui Wang, Li Zhang, Low-Rank Structure Propagation for Sparse Subspace Clustering,IEEE Transactions on Image Processing(TIP), 2018 (Accepted).
[6] Qiu Lei, Zhang Yu, Zhang Qing, Niu Xiaohui, Zhang Li, Estimating Maximum Target Registration Error under Uniform Restriction of Fiducial Localization Error in Image Guide System, IEEE Transactions on Medical Imaging(TMI), 37(4): 881-892, 2018.
[7] Lincheng Li, Shunli Zhang, Xin Yu, and Li Zhang. “PMSC: PatchMatch-based superpixel cut for accurate stereo matching”. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol.28, no.3, pp.679-692, 2018.
[8] Yao Sui, Tang Yafei, Zhang Li, Wang Guanghui, Visual Tracking via Subspace Learning: a Discriminative Approach, International Journal of Computer Vision (IJCV), 126(5):515-536, 2018.
[9] Yao Sui, Guanghui Wang, Li Zhang, Correlation Filter Learning towards Peak Strength for Visual Tracking, IEEE Transactions on Cybernetics(TC), 48(4):1290-1303, 2018.
[10] Yao Sui, Guanghui Wang, Li Zhang,Yang Ming-Hsuan, Exploiting Spatial-Temporal Locality of Tracking via Structured Dictionary Learning,IEEE Transactions on Image Processing(TIP), 27(3)1282-1296, 2018.
[11] Yu Zhang, Lei Qiu, Li Fengzan, Qing Zhang, Li Zhang, Xiaohui Niu. Automatic Allograft Bone Selection Through Band Registration and Its Application to Distal Femur. Cell and tissue banking, 18: 297-305, 2017.
[12] Zhang S, Sui Y, Zhao SC, Zhang L,Graph regularized structured support vector machine for object tracking,IEEE Transactions on Circuit and System for Video Technology (TCSVT), vol.27, no.6, pp.1249-1262, 2017.
[13]Lu M, Zhao H, Yao AB, Zhang L,Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer, International Conference on Computer Vision (ICCV), 2017
[14]Zhao H, Lu M, Yao AB, Guo YJ, Chen YR, Zhang L, Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[15] Yao Sui, Guanghui Wang, Yafei Tang, Li Zhang, Tracking Completion, European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, 2016.
[16] Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang, Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning, European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, 2016.
[17] Sui Yao, Zhang L, Robust Tracking via Locally Structured Representation, International Journal of Computer Vision (IJCV), vol. 119, no. 2, pp. 110-144, 2016.
[18] Yao Sui,Yafei Tang,Li Zhang,Discriminative Low-Rank Tracking,IEEE International Conference on Computer Vision (ICCV),Santiago,2015.12.13-2015.12.16.
[19] Zhang S, Zhao SC, Sui Y, Zhang L,Single object tracking with fuzzy least squares support vector machine,IEEE Transactions on Image Processing (TIP), 2015,24(12):5723-5738.
[205] Sui Y, Zhang S, Zhang L,Robust Visual Tracking via Sparsity Induced Subspace Learning,IEEE Transactions on Image Processing (TIP), 2015,24(12):4686-4700.
[21] Zhang Shunli,Sui Yao,Zhao Sicong,Yu Xin,Zhang Li,Multi-local-task learning with global regularization for object tracking,Pattern Recognition (PR),2015,48(12):3881-3894.
[22] Shunli Zhang,Yao Sui,Xin Yu,Sicong Zhao,Li Zhang,Hybrid support vector machines for robust object tracking,Pattern Recognition (PR),2015,48(8):2474-2488.
[23] Sui Y.,Zhang L.,Visual Tracking via Locally Structured Gaussian Process Regression,IEEE Signal Processing Letters (SPL), 2015,22(9):1331-1335.
[24] Zhang S.,Yu X.,Sui Y.,Zhao S.,Zhang L.,Object tracking with multi-view support vector machines,IEEE Transactions on Multimedia (TMM),2015,17(3):265-278.
[25] Yu Xin,Xu Feng,Zhang Shunli,Zhang Li,Efficient Patch-Wise Non-Uniform Deblurring for a Single Image,IEEE Transactions on Multimedia (TMM),2014,16(6):1510-1524.
[26] Li Zhang, In situ image segmentation using the convexity of illumination distribution of the light sources, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.30, No.10, pp.1786-1799, 2008.
[27] Li Zhang, Background reconstruction for camera-based thin layer chromatography using the concave distribution feature of illumination, Optics Express (OP), Vol.14. pp. 10386-10392, 2006.
[28] Li Zhang, Xinggang Lin, Quantitative evaluation of thin-layer chromatography with image background estimation based on charge-coupled device imaging, Journal of Chromatography A (JCA), Vol.1109. pp. 273-278, 2006.
[29] Leibo Liu, Ning Chen, Hongying Meng, Li Zhang, Zhihua Wang,  Hongyi Chen, A VLSI architecture of JPEG2000 encoder, IEEE Journal of Solid-State Circuits (JSSC), Vol.39. pp. 2032-2040, 2004.
[30] Hongjun Jia, Li Zhang, Directional diamond search pattern for fast block motion estimation, Electronics Letters (EL), Vol.39. pp. 1581-1583, 2004.