http://home.ustc.edu.cn/~xzkk/DSC_7197.JPG

Cao Yang

Cao Yang is an Associate professor of Automation Department at University of Science and Technology of China (USTC), which is located in Hefei, Anhui province of China. He is a member of IEEE Signal Processing Society. His central research interests focus on computer vision and Multimedia processing. He has more than 30 publications in refereed journals and conference.


Basic Information

Email: forrest[AT]ustc.edu.cn    Tel: 86-15956908863

Address: Room 303, Science Experimental Building(West), West Campus, USTC.


Education

2004--2006, PostDoc, Pattern Recognition and Intelligent System, , University of Science and Technology of China.

1999--2004, PhD in Pattern Recognition and Intelligent System, Northeastern University,.

1995--1999, B.E. in Automation, Northeastern University,.


Research Experience

2013.12—2014.12, Visiting Scholar, State University of New York at Buffalo.

2010.01--2010.09, Visiting Scholar, MSRA.

2006.09—2015.06, Assistant professor, Department of AutomationUniversity of Science and Technology of China.

2015.06--Present, Associate professor, Department of AutomationUniversity of Science and Technology of China.


Fields of Research Interest

Computer Vision; Multimedia processing; Intelligent Robot


Professional Activities

Journal Reviewer: Computer Vision and Image Understanding, Signal Processing, Machine vision and Application, Neurocomputing, Multimedia Tools and Application

Conference Reviewer: ICIP, MMM, ICIG


Publications (Selected)

1.Cao Yang* Kang Kai, Zhang Jing and Zengfu Wang, Fast Response Aggregation For Depth Estimation Using Light Field Camera, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Accepted, 2016.  

2.Cao Yang*, Kang Kai, Zhang Shijie, Zhang Jing, and Wang Zengfu. Automatic tag saliency ranking for stereo images. Neurocomputing. doi:10.1016/j.neucom.2014.09.097 2015.

3.Jing Zhang, Yang Cao*, Zhigang Zheng, Zengfu Wang, Changwen Chen. A Unified Scheme for Super-resolution and Depth Estimation from Asymmetric Stereoscopic Video, IEEE Transactions on Circuits and Systems for Video Technology. DOI: 10.1109/TCSVT.2014.2367356, 2015.

4.Zhang Jing, Cao Yang*, Wang Zengfu, Changwen Chen. A new closed loop method of super-resolution for multi-view images, Machine Vision and Application, (2014)15:1685-1695, 2014.

5.Yang Cao*, Shijie Zhang, Jing Zhang, Changwen Chen, A Novel Segmentation-based Video Denoising Method with Noise Level Estimation. Information Science. 281(10):507-520, 2014.

6.Kai Kang , Yang Cao*, Jing Zhang, and Zengfu Wang. Salient object detection and classification for stereoscopic images. Multimedia Tools and Application. DOI: 10.1007/s11042-014-2142-8, 2014.

7.Jing Zhang, Yang Cao* and Zengfu Wang, A New Image Filtering Method: Nonlocal Image Guided Averaging, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2460-2464, Florence, Italy, 2014.  

8.Jing Zhang, Yang Cao*, Zengfu Wang, Nighttime Haze Removal Based on A New Imaging Model, IEEE International Conference on Image Processing (ICIP), pp. 4557 - 4561, Paris, Franc. 2014.

9.Shijie Zhang, Jing Zhang, Shuai Fang, Yang Cao*, Underwater Stereo Image Enhancement Using A New Physical Model, IEEE International Conference on Image Processing ( ICIP), pp. 5422 - 5426, Paris, Franc. 2014.

10.            Yu Liu, Shuping Liu, Yang Cao, Zengfu Wang*. A Practical Algorithm for Automatic Chessboard Corner Detection. IEEE International Conference on Image Processing ( ICIP), pp. 3449 - 3453, Paris, Franc. 2014.

11.            Shuai Fang, Chuanpei Zhou, Yang Cao*. Improving Color Constancy with Internet Photo Collections, Advances in Multimedia Information Processing-PCM, Volume 8879, pp 33-43 2014.

12.            Yang Cao, Shuai Fang, Zengfu Wang*. Digital Multi-focusing from a Single Photograph Taken with an Uncalibrated Conventional Camera, IEEE Transactions on Image Processing, 22(9):3703-3714, 2013.

13.            Shuai Fang*Qiang ShiYang CaoAdaptive removal of real noise from a single imageJournal of Electronic Imaging. 22(3):033014, 2013.

14.            Jing Zhang, Yang Cao* and Zengfu Wang, A Simultaneous Method for 3D Video Super-resolution and High-quality Depth Estimation, IEEE International Conference on Image Processing ( ICIP),pp. 1346-1350, Melbourne, Australia. 2013.

15.            Yu Jun, Cao Yang, Wang zengfu. 2D/3D Model-based Facial Video Coding/Decoding at Ultra-low Bit-rate for Mobile CommunicationInternational Conference on Multimedia Modeling, Lecture Notes on Computer Science, Volume 7733, 2013, 12-23  

16.            Fang Shuai, Qin Tong, Cao Yang*. Depth recovery from a single defocused image based on depth locally consistency. The Fifth International Conference on Internet Multimedia Computing and Service. pp.56-61, Huangshan, China, 2013.

17.            Zhang Jing, Cao Yang*, Wang zengfu. A new closed loop method of super-resolution for multi-view imagesInternational Conference on Multimedia Modeling, Lecture Notes on Computer Science, Volume 7733, 2013, 154-164

18.            Zhang Shijie, Zhang Jing, Cao Yang*. A Novel Segmentation-based Video Denoising Method with Noise Level EstimationInternational Conference on Multimedia Modeling, Lecture Notes on Computer Science, Volume 7733, 2013, 272-282

19.            Yang Cao, Shuai Fang, Feng Wang. Single Image Multi-focusing Based on Local Blur Estimation, International Conference on Image and Graphics(ICIG), Hefei, Anhui.2011: 168 – 175.

20.            Yang Cao, Yan Xia, Zengfu Wang. A close-form iterative algorithm for depth inferring from a single image. European Conference on Computer Vision(ECCV), 2010, Vol 6315/2010, 729-742.

21.            Shuai Fang, Jiqing Zhan, Yang Cao, Ruizhong Rao, Improved Single Image Dehazing Using Segmentation, IEEE International Conference on Image Processing,  Hong Kang, Sep.2010:3589-3592.