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Biography

I am a postdoc researcher at Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland and work in the Center for Machine Vision and Signal Analysis (CMVS) Group. Before that I received my Ph.D degree in the Institute of Image Processing and Pattern Recognition, Department of Electronics and Information Engineering, Xi'an Jiaotong Univeristy, China, in Jul. 2015 and B.E degree from the Special Class for the Gifted Young in Electronic Engineering, Xi'an Jiaotong Univeristy. From Aug. 2015 to Mar. 2017, I was working as a Researcher at Innovative Technology Center, China Academy of Electronics and Information Technology. From May 2017, I moved to University of Oulu as a postdoc researcher.

My research interests lie at computer vision and machine learning. Specific interests include image processing and pattern recognition algorithms about human face. Some popular approaches are utilized in research, such as dictionary learning, sparse representation, kernel method, subspace learning and deep learning. The research work mainly consists of :

· Super-resolution methods for low-resolution face image.

· Low-resolution face image/expression/emotion analysis algorithms.

· Image inpainting and restoration.

· Remote heart activity analysis and disease detection from face videos.

News

• 01/2019: We have 1 paper accepted to IEEE trans. on Multimedia.
• 03/2018: We have 1 paper accepted to FG 2018.
• 02/2018: We have 1 paper accepted to IEEE trans. on Image Processing.
• 01/2018: We have 1 paper accepted to IEEE trans. on Image Processing.
• 05/2017: I move to CMVS, University of Oulu as a postdoc researcher.

Education

• Ph.D. Degree in Signal and Information Processing, Xi’an Jiaotong University, China
  • Ph.D. Thesis Title：Research on Low-resolution Face Image Super-resolution and Recognition Algorithms
• B. S. Degree in Electronic Engineering at the Special Class for the Gifted Young, Xi’an Jiaotong University.

Research Experiences

• Postdoc Researcher

Center for Machine Vision and Signal Analysis, University of Oulu

Topic: Face analysis, micro-expression recognition, physiological signal analysis

• Researcher

Innovative Technology Center, China Academy of Electronics and Information Technology

Topic: Face analysis problem in 360° stereo videos

Publications Google Scholar

-Journal Articles

1. Face Hallucination via Coarse-to-fine Recursive Kernel Regression Structure [PDF] [Code coming soon]

J. Shi and G. Zhao

IEEE Transactions on Multimedia.(IF: 3.977, Finnish JUFO level 2), accepted, 2019

2. Hallucinating Face Image by Regularization Models in High-Resolution Feature Space [PDF] [Code]

J. Shi, X. Liu, Y. Zong, C. Qi and G. Zhao

IEEE Transactions on Image Processing (TIP, IF: 5.071, Finnish JUFO level 3), vol. 27, no. 6, pp. 2980-2995, 2018.

3. Domain regeneration for cross-database micro-expression recognition [PDF]

Y. Zong, W. Zheng, X. Huang, J. Shi, Z. Cui, G. Zhao

IEEE Transactions on Image Processing (TIP, IF: 5.071, Finnish JUFO level 3), vol. 27, no. 5, pp. 2484-2498, 2018.

4. From Local Geometry to Global Structure: Learning Latent Subspace for Low-resolution Face Image Recognition [PDF] [Code]

J. Shi, C. Qi

IEEE signal processing letters ( IF: 2.813, Finnish JUFO level 2), vol. 22, no. 5, pp. 554–558, 2015.

5. Kernel-Based Face Hallucination via Dual Regularization Priors [PDF] [Code]

J. Shi, C. Qi

IEEE signal processing letters ( IF: 2.813, Finnish JUFO level 2), vol. 22, no. 8, pp. 1189–1193, 2015.

6. Global consistency, local sparsity and pixel correlation: A unified framework for face hallucination [PDF] [Code]

J. Shi, X. Liu, C. Qi

Pattern Recognition ( IF: 3.962, Finnish JUFO level 3), vol. 47, no. 11, pp. 3520–3534, 2014.

7. An Image Inpainting Algorithm Based on Sparse Modeling with Double Constraints

J. Shi, C. Qi

Journal of Xi’an Jiaotong University vol. 46, no. 2, pp. 6–10, 2012. (In Chinese)

8. Atrial Fibrillation Detection from Face Video by Fusing Subtle Variations [PDF] [Code]

J. Shi, I. Alikhani, X. Li, T. Seppanen and G. Zhao

Submitted to IEEE Transactions on Circuits and Systems for Video Technology.(Finnish JUFO level 2)

-Conference

1. The OBF Database: A Large Face Video Database for Remote Physiological Signal Measurement and Atrial Fibrillation Detection[PDF]

X. Li, I. Alikhani, J. Shi, T. Seppänen, J. Junttila, K. Majamaa-Voltti, M. Tulppo and G. Zhao

Proc. the 13th IEEE International Conference on Automatic Face and Gesture Recognition, Beijing, May. 2018.

2. Image denoising via group sparsity residual constraint[PDF]

Z. Zha, X. Liu, Z. Zhou, X. Huang, J. Shi, and X. Zhang

Proc. the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, NEW ORLEANS, 2017.

3. Real time object tracking based on local texture feature with correlation filter[PDF]

M. Qiao, T. Wang, Y. Dong, J. Shi, J. Teng and H. Snoussi

Proc. the 21st IEEE International Conference on Digital Signal Processing, Beijing, 2016.

4. Face hallucination based on PCA dictionary pairs[PDF]

J. Shi, C. Qi

Proc. the 20th IEEE International Conference on Image Processing, Melbourne, 2013.

5. Sparse modeling based image inpainting with local similarity constraint[PDF]

J. Shi, C. Qi

Proc. the 20th IEEE International Conference on Image Processing, Melbourne, 2013.

6. A nonlocal exemplar-based inpainting algorithm

J. Shi, C. Qi

Proc. the 20th National Conference on Multimedia Technology, Beijing, 2011.(In Chinese)