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Robot Vision Group
State Key Laboratory
 of Robotics

Shenyang Institute
of Automation

Chinese Academy
 of Sciences

Nanta Street 114
110016 Shenyang
P. R. China

Tel: +86 24 23970491
Fax: +86 24 23970021
Email: tianjd@sia.cn
Office: R217

Prof. Dr.Jiandong Tian,

Research interests£º

Illumination and Reflectance Modeling
, image processing, pattern recognition.

Breif Bio.

  Jiandong Tian received his B.S. degree in the department of automation, Heilongjiang University, P.R.China, in 2005. In 2011 he received a doctor's degree in Shenyang Institute of Automation, Chinese Academy of Sciences. Currently he is a professor in Shenyang Institute of Automation, Chinese Academy of Sciences. His research interests include robot vision, illumination modeling, image processing, and pattern recognition. [Full CV]

Download of source codes and dataset:

1.MATLAB Source Code for Shadow detection

2.Dataset for DeshadowNet:A Multi-context Embedding Deep Network for Shadow Removal(CVPR 2017)
[Test dataset]   [Training dataset will come soon...]

3. Shadow Detection Dataset for Evaluation of shadow features


1) Pengyue Li, Mengshen Yun, 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

2) 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

3) Jiandong Tian, Liangqiong Qu, Huijie Fan, Wentao Li, Yandong Tang,"Evaluation of shadow features", IET Computer Vision,Volume: 12, Issue: 1, 2018, Pages: 95-103

4) Jiandong Tian, Zak Murez, Tong Cui, Zhen Zhang, David Kriegman, Ravi Ramamoorthi,"Depth and Image Restoration from Light Field in a Scattering Medium", International Conference on Computer Vision (ICCV) 2017

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

6) 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)

7) 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

8) 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

9)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

10) 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 ¨C 154.

11) 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

12)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

13) Jiandong Tian, Xiaojun Qi, Liangqiong Qu, and Yandong Tang, "New Spectrum Ratio Properties and Features for Shadow Detection", Pattern Recognition, Volume 51, No. 3, 2016, Pages 85¨C96

14)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.3,2015

15) Denglu Wu, Jiandong Tian, Yandong Tang; "Optimized basis function for spectral reflectance recovery from tristimulus values", OPTICAL REVIEW, Vol. 21, No. 2 (2014) 117¨C126

16) Jiandong Tian,Yandong Tang, "Wavelength-sensitive-function controlled reflectance reconstruction", Optics Letters, Vol. 38, Iss. 15, pp. 2818¨C2820, 2013

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

Jiandong  Tian,  Linlin  Zhu, Yandong  Tang; "Outdoor shadow detection by combining tricolor attenuation and intensity", EURASIP Journal on Advances in Signal Processing 2012, 2012:116

19)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).

Jiandong Tian, Jing Sun, Yandong Tang,¡°Short-BaselineBinocular Vision System for a Humanoid Ping-Pong Robot¡±, Journal of Intelligent and Robotic Systems, 64(3-4): 543-560, 2011

Jiandong Tian, Yandong Tang; Book chapter:¡°Learning and vision based obstacle avoidance and navigation¡±, Book: Robot Intelligence: An Advanced Knowledge Processing Approach, Springer-Verlag, 2010

22) 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

23) Jiandong Tian,Wei Dong,Yandong Tang,¡°Finding passable regions from a single still image¡±, International Journal of Robotics and Automation£¬Vol. 24, No. 3, pp: 228-234,2009.

24) Jing Sun, Jiandong Tian, Yingkui, Du, Yandong Tang;"Retinex Theory Based Shadow Detection and Removal in Single Outdoor Image"; Industrial Robot: An International Journal,36/3 (2009) 263¨C269.

R&D Projects:

1) Multimode perception system for Tri-Co robots on complicated illuminations and weather
Principal Investigator
Project Funding: National Natural Science Foundation of China

Illumination modeling and its invariant algorithms for computer vision
Principal Investigator

Project Funding: National Natural Science Foundation of China

Physical and imaging properties of outdoor shadow and its removal methods
Principal Investigator
Project Funding: National Natural Science Foundation of China
4) for other projects,please refer to Projects Page of our group...