田建东 博士，研究员，博士生导师    

论文发表：

1) Jiandong Tian, 《All Weather Robot Vision》, Springer Nature Singapore Pte Ltd, 2022.
2) Baojie Fan, Jiandong Tian, Yan Peng, Yandong Tang, "Discriminative Siamese Complementary Tracker with Flexible Update", IEEE Transactions on Multimedia, Vol. 24，2766-2778，2022.
3) 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.
4) 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
5) 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
6) 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.
7) 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.
8) Baojie Fan, Wei Chen, Yang Cong, Jiandong Tian, "Dual refinement underwater object detection network", "ECCV,pp: 275-291,2020.
9) 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.
10）Weihong Ren, Jiandong Tian, Qiang Wang, Yandong Tang; "Dually Connected Deraining Net Using Pixel-wise Attention", IEEE Signal Processing Letters, vol.27, 2020
11）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
12) 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.
13) 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.
14) 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.
15) 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.
16) 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)
17) 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.
18) 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 .
19) 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.
20) 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.
21) 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.
22 ) 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.
23) 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 85–96.
24) 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.
25) Denglu Wu, Jiandong Tian*, Yandong Tang; "Optimized basis function for spectral reflectance recovery from tristimulus values", Optical Review, Vol. 21, No. 2 (2014) 117–126.
26) Jiandong Tian,Yandong Tang, "Wavelength-sensitive-function controlled reflectance reconstruction", Optics Letters, Vol. 38, Iss. 15, pp. 2818–2820, 2013.
27) Denglu Wu，Jiandong Tian*，Bingfeng Li, Yandong Tang,"Recovering Sensor Spectral Sensitivity from Raw Data", Journal of Electronic Imaging Vol. 22(2), 2013.
28) 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).
29)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.
30) 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.
31) 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.
32) 田建东，全天候机器人视觉，学术专著，华中科技大学出版社，2020.
33) 田建东，刘连庆，复杂气象条件下的机器人视觉，模式识别与人工智能，Vol. 32, No.1, pp.24-35,2019.
34) 李鹏越，田建东*，王国霖，李小毛，唐延东，吴成东，面向机器人环境共融的图像去雪算法，机械工程学报，2019 , (11)：98-104.
35) 王国霖，田建东*，李鹏越，基于双透射率水下成像模型的图像颜色校正，光学学报，2019 , 39(9)：16-25.
36)崔童，田建东*，王强，任卫红，唐延东，基于吸收透射率补偿及时空导向图像滤波的实时视频去雾，机器人，2019 , 41(6)：771-778.
37) 田建东，王占鹏，唐延东，“静态阴影检测的研究进展”， 信息与控制， 2015年 第44卷 第2期.

研究项目：

1) 室外复杂视觉条件下的机器人感知与目标识别方法
   经费来源：国家自然科学基金委/深圳机器人基础研究中心重点项目；2021-2024；项目负责人。
2) 灾害现场危楼内部急救机器人装备研发
   经费来源：国家重点研发计划；2020-2022；项目负责人。
3) 全天候图像处理及多模相机研究
   经费来源：中国科学院（中科院青年创新促进会优秀会员）；2019-2021；项目负责人。
4) 面向复杂光照与气象条件的共融机器人多模感知系统
   经费来源：国家自然科学基金共融机器人重大研究计划项目；2017-2020；项目负责人。
5) 计算机视觉中自然光照建模及其恒常性计算
   经费来源：国家自然科学基金面上项目；2015-2018；项目负责人。
6) 室外静态阴影的物理成像特性分析及去除方法研究
   经费来源：国家自然科学基金青年项目；2012-2014；项目负责人。
7) 其他工程预研项目