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Huanjing Yue (岳焕景)

Assistant Professor

School of Electrical and Information Engineering
Tianjin University (天津大学) 

Address: Building 26, Tianjin University, No. 92, Weijin Rd., 
Nankai District, Tianjin, China, 300072

Email: huanjingyue@gmail.com   huanjing.yue@tju.edu.cn


I got my Ph. D. degree in School of Electronic Information Engineering at Tianjin University in 2015. I was jointly supervised by Prof. Feng Wu (USTC), Dr. Xiaoyan Sun (MSRA) and Prof. Jingyu Yang (Tianjin University). Before that, I received my B.E. degree in Electronic Information Engineering from Tianjin University in 2010.

My PhD research focused on cloud-based image processing. Different from traditional methods, my PhD thesis explores utilizing external correlated images to improve coding efficiency and image restoration quality.   

I am currently working on deep learning based image restoration and computer vision.

Work Experience

·   Assistant Professor, School of Electrical and Information Engineering, Tianjin University     2015.7 - present

·   Research Intern, Microsoft Research Asia, Beijing, China                                                     2011.8 - 2012.8 & 2013.7 - 2015.4

·   Visiting Scholar, University of California San Diego (UCSD), San Diego, US                        2016.8 - 2017.8



  1. Huanjing Yue, Shengdi Zhou, Jingyu Yang, Xiaoyan Sun, and Chunping Hou, "Deep joint noise estimation and removal for high ISO JPEG images", International Conference on Pattern Recognition (ICPR), Beijing, China, 2018.
  2. Yue Jiao, Jingyu Yang, Huanjing Yue*, Kun Li, and Chunping Hou, "Image alignment via multi-model geometric fitting and hierarchical homography estimation", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Alberta, Canada, 2018. 
  3. Zhongyu Jiang, Yonghong Hou, Huanjing Yue*, Jingyu Yang, and Chunping Hou. "Depth map super-resolution from RGB-D pairs with transform and spatial domain regularization", IEEE Transactions on Image Processing (TIP), 27(5), pp. 2587-2602, 2018.
  4. Jingyu Yang, Xue Zhang, Huanjing Yue*, Changrui Cai, and Chunping Hou, "IBM3D: Integer BM3D for Efficient Image Denoising", Circuits, Systems, and Signal Processing, pp. 1-14, 2018. 
  5. Huanjing Yue, Daoxiang Huang, Xiaolin Song, Jingyu Yang, and Lili Shen, "Body Segmentation Algorithm Based on Graph Model and Skeleton Information", Journal of Tianjin University, 51(8), pp. 837-843, 2018.  
  1. Jingyu Yang, Xinyan Wang, Huanjing Yue*, Xiaomei Fu, and Chunping Hou, "Underwater image enhancement based on structure-texture decomposition", IEEE International Conference on Image Processing (ICIP), China, 2017.
  2. Huanjing Yue, Jianjun Liu, Jingyu Yang, Truong Nguyen, and Chunping Hou, "Image noise estimation and removal considering the Bayer pattern of noise variance", IEEE International Conference on Image Processing (ICIP), China, 2017. <pdf>
  3. Huanjing Yue, Jingyu Yang, Xiaoyan Sun, Feng Wu, and Chunping Hou, "Contrast enhancement based on intrinsic image decomposition", IEEE Transactions on Image Processing (TIP), 2017. <pdf> <results>
  4. Jingyu Yang, Fanglei Liu, Huanjing Yue*, Xiaomei Fu, Chunping Hou, and Feng Wu, "Textured image demoiring via signal decomposition and guided filtering", IEEE Transactions on Image Processing (TIP), 2017. <pdf>
  5. Jianjun Lei, Lele Li, Huanjing Yue*, Feng Wu, Nam Ling, and Chunping Hou, "Depth map super-resolution considering view synthesis quality",IEEE Transactions on Image Processing (TIP), 2017. <pdf> 
  1. Jiaoru Yang, Jingyu Yang, Xuemeng Yang, and Huanjing Yue,Background recovery from video sequences via online motion-assisted RPCA”, IEEE Conference on Visual Communications and Image Processing (VCIP), 2016. <pdf>
  1. Fanglei Liu, Jingyu Yang, and Huanjing Yue*, "Moire pattern removal from texture images via low-rank and sparse matrix decomposition",IEEE Conference on Visual Communications and Image Processing (VCIP), 2015. <pdf>
  2. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng Wu, "Image denoising by exploring external and internal correlations", IEEE Transactions on Image Processing (TIP), vol. 24, pp. 1967-1982, 2015. <pdf>
  1. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng Wu, “CID: combined image denoising in spatial and frequency domains using web images”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. <pdf>
  1. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng Wu, “Landmark image super-resolution by retrieving web images”, IEEE Transactions on Image Processing (TIP), vol. 22, pp. 4865-4878, 2013.<pdf>
  2. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng WuCloud-based image coding for mobile devices-toward thousands to one compression. IEEE Transactions on Multimedia (TMM), vol.15, pp. 845-857, 2013. <pdf>
  3. Huanjing Yue, Jingyu Yang, Xiaoyan Sun, and Feng Wu, “SIFT-based image super-resolution”,  International Symposium on Circuits and Systems (ISCAS), China, pp. 2896-2899, 2013.<pdf>
  4. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng Wu, “Image denoising using cloud images”,  SPIE Applications of Digital Image Processing, America, 2013.<pdf>
  1. Huanjing Yue, Xiaoyan Sun, Feng Wu, and Jingyu Yang, “SIFT-based image compression”, IEEE International Conference on Multimedia & Expo (ICME), Australia, pp. 473-478, 2012.<pdf>
  2. Lican Dai, Huanjing Yue, Xiaoyan Sun, Feng Wu, IMShare: instantly sharing your mobile landmark images by search-based reconstruction,” ACM Multimedia (ACM MM), Japan, pp. 579-588 , 2012.<pdf>


  • Elite Scholar Program of Tianjin University, 2017
  • First-class technological invention award by Tianjin Municipal Government, 2016 (Ranked 9)     
  • National Scholarship, 2008, 2013