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 Jiandong Tian's Homepage
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yandong

Dr.Tian,Jiandong
Professor


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 23979821
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] [the code]

3. Shadow Detection Dataset for Evaluation of shadow features



Publications£º

1£©Pengyue Li, Jiandong Tian, Yandong Tang,Guolin Wang, Chengdong Wu; "Deep Retinex Network for Single Image Dehazing", IEEE Transactions on Image Processing, Vol.30, 1100-1115, 2021

2£©Ren Weihong, Wang Xinchao, Jiandong Tian, Tang Yandong, Chan Antoni B, "Tracking-by-counting: Using network flows on crowd density maps for tracking multiple targets", IEEE Transactions on Image Processing,Vol. 30,pp: 1439-1452,2020

3) Fan Baojie, Cong Yang, Jiandong Tian*, Tang Yandong, "Dynamic and reliable subtask tracker with general schatten p-norm regularization", Pattern Recognition,Vol. 120,pp: 108129,2021.

4) Baojie Fan, Yang Cong, Yandong Tang, Jiandong Tian, Chenliang Xu, "Structured and Consistent Multi-Layer Multi-Kernel Subtask Correction Filter Tracker", IEEE Transactions on Circuits and Systems for Video Technology,Vol. 31,No. 6,pp: 2328-2342,2020.

5) Baojie Fan, Jiandong Tian, Yan Peng, Yandong Tang, "Discriminative Siamese Complementary Tracker with Flexible Update", IEEE Transactions on Multimedia,2021.

6) Baojie Fan, Wei Chen, Yang Cong, Jiandong Tian, "Dual refinement underwater object detection network", "ECCV,pp: 275-291,2020.

7) Baojie Fan, Yang Cong, Jiandong Tian, Yandong Tang, "Reliable Multi-Kernel Subtask Graph Correlation Tracker", IEEE Transactions on Image Processing,Vol. 29,pp: 8120-8133,2020.

8£©Weihong Ren, Jiandong Tian, Qiang Wang, Yandong Tang; "Dually Connected Deraining Net Using Pixel-wise Attention", IEEE Signal Processing Letters, vol.27, 2020

9£©Pengyue Li, Jiandong Tian, Yandong Tang,Guolin Wang, Chengdong Wu, "Model-based Deep Network for Single Image Deraining", IEEE Access,Vol.8,14036-14047,2020

10) 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.

11) 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.

12) 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.

13)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.

14) 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)

15) 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.

16) 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 .

17)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.

18) 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.

19) 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.

20 )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.

21) 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.

22) 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.


23) 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.


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

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

26 )
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).


27)
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.


28) 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.


29) 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.























R&D Projects:

1) Vision based robot sensing and tagets recognition in complex outdoor conditions
Principal Investigator
2020.01-2022.12
Project Funding: National Natural Science Foundation of China/Shenzhen robot basic research center

2) Development of emergency robot equipment in dangerous buildings on disaster scene
Principal Investigator
2020.01-2022.12
Project Funding: Ministry of Science and Technology of the People's Republic of China

3) Multimode perception system for Tri-Co robots on complicated illuminations and weather
Principal Investigator
2017.01-2020.12
Project Funding: National Natural Science Foundation of China

4)
Illumination modeling and its invariant algorithms for computer vision
Principal Investigator
2015.01-2018.12

Project Funding: National Natural Science Foundation of China

5)
Physical and imaging properties of outdoor shadow and its removal methods
Principal Investigator
2012.01-2014.12
Project Funding: National Natural Science Foundation of China
   
6) for other projects,please refer to Projects Page of our group...