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.