Image Processing, Pattern Recognition, Robot Vision

Sep. 2002       Doctor of Engineering, The Center for Industrial Mathematics (ZeTeM), Faculty of  Mathematics and Computer Science, University of Bremen, Germany

June 1987      MS, Computing Mathematics, Department of Mathematics, Shandong University, P. R. China

June 1984      BS, Computing Mathematics, Department of Mathematics, Shandong University, P. R. China

   

2004-present  Professor, State Key Laboratory of  Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences

2002–2004     Reseach Fellow and Postdoc., Bremen Institute of Industrial Technology and Applied Work Science, University of Bremen, Germany

1999–2002     Reseach Fellow and Doctoral Candidate, The Center for Industrial Mathematics (ZeTeM), Faculty of  Mathematics and Computer Science, University of Bremen, Germany

1998-1999      Visiting Scholar,  The Institute of Mathematics,University of Potsdam, Germany

1996-1997      Visiting Scholar, University of Stuttgart, Germany

1987-1996      Reseach Fellow, Associate Research Professor (1995-1996), Shenyang Institute of Computing Technology, Chinese Academy of Sciences, P. R, China

graduate course: Partial Differential Equations and Image Processing

   

1) Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu,"Residual Denoising Diffusion Models", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

2)Huijie Fan, Zhencheng Yu, Qiang Wang, Baojie Fan and Yandong Tang, "QueryTrack: Joint-modality Query Fusion Network for RGBT Tracking", IEEE Transactions on Image Processing 2024(online published)

3）Shiben Liu, Huijie Fan, Qiang Wang，Zhi Han, Yu Guan and Yandong Tang,"Wavelet-pixel domain progressive fusion network for underwater image enhancement",Knowledge-Based Systems 2024(online published)

4) Xudong Wang, Xiai Chen, Weihong Ren, Zhi Han, Huijie Fan,Yandong Tang,Lianqing Liu, "Compensation Atmospheric Scattering Model and Two-Branch Network for Single Image Dehazing", IEEE Transactions on Emerging Topics in Computational Intelligence 2024(online published)

5) Zhi Han, Yanmei Wang, S. Zhang, Huijie Fan, Yandong Tang and Y. Wang, "Online Video Sparse Noise Removing via Nonlocal Robust PCA," , IEEE Transactions on Multimedia, 2024(online published)

6) Yiming Su, Zhen Zhang, Yang Lu, Shiben Liu, Yandong Tang, Jiandong Tian,"Underwater descattering with polarization line constraint", Optics and Lasers in Engineering, Volume 179, 2024

7) Huijie Fan, Xiaotong Wang, Qiang Wang, Shengpeng Fu, Yandong Tang, "Skip Connection Aggregation Transformer for Occluded Person Re-identification", IEEE Transactions on Industrial Informatics, Volume: 20, Issue: 1, Pages: 442 - 451, 2024

8) Zhencheng Yu, Huijie Fan, Qiang Wang, Ziwan Li, Yandong Tang, Region Selective Fusion Network for Robust RGB-T Tracking IEEE Signal Processing Letters,Volume: 30, Issue: 9, Pages:1357 - 1361, 2023

9) Jiawei Liu, Qiang Wang, Huijie Fan, Wentao Li, Liangqiong Qu, Yandong Tang, "A Decoupled Multi-Task Network for Shadow Removal", IEEE Transactions on Multimedia, Volume: 25, Issue: 3, Pages: 9449 - 9463 2023

10) Jiawei Liu, Qiang Wang, Huijie Fan, Jiandong Tian Yandong Tang, "A Shadow Imaging Bilinear Model and Three-branch Residual Network for Shadow Removal", IEEE Transactions on Neural Networks and Learning Systems 2023 (online published)

11) Nan Yang, Xin Luan, Huidi Jia, Zhi Han, Yandong Tang, "CCR: Facial Image Editing with Continuity, Consistency and Reversibility” , International Journal of Computer Vision 2023 (online published)

12）Yang Zhang, Yao Wang, Zhi Han, Xiai Chen, Yandong Tang,"Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation", IEEE Transactions on Circuits and Systems for Video Technology Volume: 32, Issue: 11 7286 - 7300 2022

13）Baichen Liu, Zhi Han, Xiai Chen, Wenming Shao, Huidi Jia, Yanmei Wang, Yandong Tang, A Novel Compact Design of Convolutional Layers with Spatial Transformation towards Lower-rank Representation for Image Classification Knowledge-Based Systems Volume 255, 14 November 2022, 109723

14）Baojie Fan, Jiandong Tian, Yan Peng, Yandong Tang, "Discriminative Siamese Complementary Tracker with Flexible Update", IEEE Transactions on Multimedia, Vol. 24 2766-2778 2022

15）Baojie Fan, Hui Zhang, Yang Cong,Yandong Tang, Huijie Fan and Jiandong Tian, "Dual Aligned Siamese Dense Regression Tracker", IEEE Transactions on Image Processing,31,3630-3643, 2022

16) Pengyue Li, Jiandong Tian, Yandong Tang,Guolin Wang, Chengdong Wu; "Deep Retinex Network for Single Image Dehazing", IEEE Transactions on Image Processing, 2021

17）Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, and Antoni B. Chan，“Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets", IEEE Transactions on Image Processing, 2021

18) Qiang Wang, Huijie Fan, Yandong Tang,"Recurrent Generative Adversarial Network for Face Completion", IEEE Transactions on Multimedia, 2021

19）Baojie Fan, Yang Cong, Jiandong Tian, Yandong Tang; "Reliable Multi-kernel Subtask Graph Correlation Tracker", IEEE Transactions on Image Processing, 2020

20) Weihong Ren, Jiandong Tian, Qiang Wang, Yandong Tang; "Dually Connected Deraining Net Using Pixel-wise Attention", IEEE Signal Processing Letters, vol.27, 2020

21) Pengyue Li, Jiandong Tian, Yandong Tang,Guolin Wang, Chengdong Wu, "Stacked Dense Networks for Single-Image Snow Removal", Neurocomputing, Volume 367, 20 November 2019, Pages 152-163

22) Qiang Wang, Huijie Fan, Gan Sun, Yang Cong, Yandong Tang, "Laplacian Pyramid Adversarial Network for Face Completion", Pattern Recognition, Volume 88, April 2019, Pages 493-505

23) Qiang Wang, Huijie Fan, Linlin Zhu, Yandong Tang, "Deeply Supervised Face Completion With Multi-Context Generative Adversarial Network", IEEE SIGNAL PROCESSING LETTERS, Volume 26,No.3, 2019, Pages 400-404

24) Weihong Ren, Di Kang,Yandong Tang, Antoni B. Chan, " Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018 

25) Xi'ai Chen, Zhi Han, Yao Wang,Qian Zhao, Deyu Meng, and Yandong Tang, "A Generalized Model for Robust Tensor Factorization with Noise Modeling by Mixture of Gaussians", IEEE Transactions on Neural Networks and Learning Systems, Volume: 29, Issue: 11, 2018, Pages: 5380-5393

26) Jiandong Tian, Zhi Han, Weihong Ren, Xiai Chen, Yandong Tang, "Snowflake removal for videos via global and local low-rank decomposition", IEEE Transactions on Multimedia, Volume: 20, Issue: 10, 2018, Pages: 2659-2669 

27) Baojie Fan, Yang Cong, Yandong Tang, "Dual Graph Regularized Discriminative Multi-task Tracker", IEEE Transactions on Multimedia 20 (9), 2018, 2303-2315

28)  Baojie Fan, Xiaomao Li, Yang Cong, Yandong Tang, "Structured and weighted multi-task low rank tracker", Pattern Recognition, 81, 528-544, 2018

29) Qiong Luo, Zhi Han, Xiai Chen, Yao Wang, Deyu Meng, Dong Liang, Yandong Tang, "Tensor RPCA by Bayesian CP Factorization with Complex Noise", International Conference on Computer Vision (ICCV) 2017

30) Weihong Ren, Jiandong Tian, Zhi Han, Antoni Chan, Yandong Tang,"Video Desnowing and Deraining Based on Matrix Decomposition", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017

31) Liangqiong Qu, Jiandong Tian, Shengfeng He, Yandong Tang, Rynson Lau, "DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (spotlight oral paper)

32) Liangqiong Qu, Shengfeng He, Jiawei Zhang, Jiandong Tian, Yandong Tang, and Qingxiong Yang, "RGBD Salient Object Detection via Deep Fusion", IEEE Transactions on Image Processing, Volume: 26, Issue: 5, 2017, Pages: 2274 - 2285 

33) Weihong Ren, Jiandong Tian, Yandong Tang,"Specular Reflection Separation with Color-Lines Constraint", IEEE Transactions on Image Processing, Volume: 26, Issue: 5, 2017, Pages: 2327 - 2337

34) Zhi Han, Jiandong Tian, Liangqiong Qu, and Yandong Tang, "A New Intrinsic-Lighting Color Space for Daytime Outdoor Images", IEEE Transactions on Image Processing, Volume 26 Issue 2, 1031- 1039, 2017 

35) Tong Cui, Jiandong Tian, Yandong Tang, "Single Image Dehazing by Latent Region-Segmentation Based Transmission Estimation and Weighted L1-norm Regularization", IET Image Processing Volume 11, Issue 2, 2017, p. 145 – 154

36) Zhi Han, Guiping Shen, Siquan Yu, Naida Ding, Jiandong Tian, Yandong Tang, "Active Trace: A Sparse Spatiotemporal Representation for Videos", IEEE Access, Volume 5, Issue 1,  pp.22433-22442, 2017

37) Xi'ai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, and Yandong Tang. "Robust Tensor Factorization with Unknown Noise", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016

38) Jiandong Tian, Zhigang Duan, Weihong Ren, Zhi Han, Yandong Tang, "Simple and Effective Calculations about Spectral Power Distributions of Outdoor Light Sources for Computer Vision", Optics Express, Vol. 24, Issue 7, pp. 7266-7286, 2016 

39) Weihong Ren,Jiandong Tian,Yandong Tang, "Blind Deconvolution with Non-local Similarity and l0 Sparsity for Noisy Image", IEEE SIGNAL PROCESSING LETTERS, VOL. 23, NO. 4, APRIL 2016

40) Jiandong Tian, Xiaojun Qi,Liangqiong Qu,Yandong Tang, "New spectrum ratio properties and features for shadow detection", Pattern Recognition, Volume 51, March 2016, Pages 85–96 

41) Shuai Wang, Yang Cong, Jun Cao, Yandong Tang, Huaici Zhao,"Scalable gastroscopic video summarization via similar-inhibition dictionary selection", Artificial Intelligence in Medicine, 66 (2016) 1–13

42) Huijie Fan, Yang Cong, Yandong Tang,"Object detection based on scale-invariant partial shape matching", Machine Vision and Applications Vol.26, No.6,2015.

43) Yang Cong,Haifeng Gong,Yandong Tang,et al., "Real-time One-dimensional Motion Estimation and its Application in Computer Vision", Machine Vision and Applications, Vol.26, Number 5, 2015

44) Liangqiong Qu, Jiandong Tian, Zhi Han and Yandong Tang, "Pixel-wise Orthogonal Decomposition for Color Illumination Invariant and Shadow-free Image", Optics Express, Vol.23,No.3, 2220-2239, 2015

45) Denglu WU,Jiandong TIAN and Yandong TANG, "Optimized Basis Function for Spectral Reflectance Recovery from Tristimulus Values", OPTICAL REVIEW, Vol. 21, No. 2 (2014), 117–126

46) Yang Cong, Junsong Yuan, Yandong Tang; "Video Anomaly Search in Crowded Scenes via Spatio-Temporal Motion Context",  IEEE Transactions on Information Forensics & Security,VOL. 8, NO. 10, OCTOBER 2013

47) Jiandong Tian, Yandong Tang, "Wavelength-sensitive-function controlled reflectance reconstruction", Optics Letters, Vol. 38, Iss. 15, pp. 2818-2820, 2013 

48) Denglu Wu, Jiandong Tian,Bingfeng Li, Yandong Tang, "Recovering Sensor Spectral Sensitivity from Raw Data", Journal of Electronic Imaging, Vol. 22(2), 2013

49) Ge Zhao,Lan Lin, Yandong Tang; "A new optimal seam finding method based on tensor analysis for automatic panorama construction", Pattern Recognition Letters, Volume 34, Issue 3, 1 February 2013, Pages 308–314

50) Jiandong Tian,Yandong Tang;"Linearity of each channel pixel values from a surface in and out of shadows and its applications",IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR 2011).

51) Baojie Fan, Yingkui Du, Linlin Zhu, Yandong Tang,"A robust template tracking algorithm with weighted active drift correction", Pattern Recognition Letters 32(9): 1317-1327 ,2011.

52) Jiandong Tian,Jing Sun,Yandong Tang," Tricolor Attenuation Model for Shadow Detection", IEEE Transactions on Image Processing, Vol.18, No. 10, pp:2355-2363, 2009

53) Y. Cong, H. Gong, S.Zhu and Y. Tang; "Flow Mosaicking:Real-time Pedestrian Counting without Scene-specific Learning", IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR),2009.

已指导学生

闵莉  博士研究生  081104-模式识别与智能系统  

李寿涛  硕士研究生  081203-计算机应用技术  

王智峰  博士研究生  081104-模式识别与智能系统  

李小毛  博士研究生  081104-模式识别与智能系统  

丛杨  博士研究生  081104-模式识别与智能系统  

孙静  博士研究生  081104-模式识别与智能系统  

郑群辉  硕士研究生  081104-模式识别与智能系统  

朱琳琳  博士研究生  081104-模式识别与智能系统  

田建东  博士研究生  081104-模式识别与智能系统  

范保杰  博士研究生  081104-模式识别与智能系统  

赵利坡  硕士研究生  081104-模式识别与智能系统  

杨大为  博士研究生  081104-模式识别与智能系统  

赵戈  博士研究生  081104-模式识别与智能系统  

范慧杰  博士研究生  081104-模式识别与智能系统  

蔺蘭  博士研究生  081104-模式识别与智能系统  

何思远  博士研究生  081104-模式识别与智能系统  

吴登禄  博士研究生  081104-模式识别与智能系统  

李冰锋  博士研究生  081104-模式识别与智能系统  

王帅  博士研究生  081104-模式识别与智能系统  

段志刚  博士研究生  081104-模式识别与智能系统  

沈贵萍  博士研究生  081104-模式识别与智能系统  

屈靓琼  博士研究生  081104-模式识别与智能系统  

崔童  博士研究生  081104-模式识别与智能系统  

陈希爱  博士研究生  081104-模式识别与智能系统  

王强  博士研究生  081104-模式识别与智能系统  

任卫红  博士研究生  081104-模式识别与智能系统  

刘柏辰  博士研究生  081104-模式识别与智能系统  

刘洪森  博士研究生  081104-模式识别与智能系统  

罗琼  博士研究生  081104-模式识别与智能系统  

管宇  博士研究生  081104-模式识别与智能系统  

朱昌波  博士研究生  081104-模式识别与智能系统  

张威  博士研究生  081104-模式识别与智能系统  

傅博  博士研究生  080202-机械电子工程  

贾慧迪  博士研究生  081104-模式识别与智能系统  

刘佳伟  博士研究生  081104-模式识别与智能系统  

现指导学生

宋非  博士研究生  081104-模式识别与智能系统  

刘志裕  博士研究生  081104-模式识别与智能系统  

栾鑫  博士研究生  081104-模式识别与智能系统  

谢兴  博士研究生  081104-模式识别与智能系统  

刘世本  博士研究生  081104-模式识别与智能系统  

李文涛  博士研究生  081104-模式识别与智能系统