Tao Yue

Tao Yue received his B.S. degree from Northwestern Polytechnic University in 2009 and the Ph.D. degree from Tsinghua University (supervised by Prof. Qionghai Dai) in 2015, respectively. After then, he joined Nanjing University as an associate professor at School of Electronic Science and Technology. He stayed in University of Washington (Seattle) from 2013 to 2014 as a visit student, under the supervising of Prof. Ming-Ting Sun, Dr. Zhengyou Zhang and Dr. Jue Wang.

Currectly, he's working with Xuemei Hu on the areas of Image Processing, Computer Vision and Computational Photography.

Research Projects

Efficient Method for High Quality Removal of Non-uniform Blur in Wavelet Domain

IEEE Trans. Circuits Syst. Video Technol. 2016, Project Page,

We propose an efficient non-uniform deconvolution method in wavelet domain for dealing with the camera motion caused spatially-varying blurry images.

Blind Optical Aberration Correction by Exploring Geometric and Visual Priors

CVPR 2015, Project Page,

We propose a computational approach for blind aberration removal from a single image by exploring various geometric and visual priors.

Image Quality Enhancement Using Original Lens via Optical Computing

Opt. Express 2014, Project Page,

We try to enhance the images degraded by the optical aberrations (e.g. spherical aberration, coma, chromatic aberration and so on) by using optical computating.

Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information

ECCV 2014, Project Page,

We try to fusing the two main kinds of kernel estimation algorithms for blind deblurring together to achieve better robustness and performance.

Deblur a Blurred RGB Image with a Sharp NIR Image Through Local Linear Mapping

ICME 2014, Project Page,

We try to recover the sharp RGB images from the blurred RGB images and corresponding sharp NIR images by using the local linear mappings.

High-Dimensional Camera Shake Removal with Given Depth Map

IEEE Trans. Image Process. 2014, Project Page,

We try to estimate the high-dimensional camera motion from a single blurred image with the given depth map, and then remove the nonuniform blurry effect.

Non-uniform Image Deblurring Using an Optical Computing System

Computer & Graphics 2013, ; CVPRW on CCD 2013 (Best Paper),

We accelerate the image restoration algorithm for camera shake caused nonuniform blur by using a projector-camera system on a high-dimensional motion platform.

Publications

• Yuanyuan Zhao, Hui Guo, Xun Cao, Zhan Ma, Tao Yue, Xuemei Hu. Hyperspectral Imaging with Random Printed Mask. accepted to IEEE CVPR 2019.
• Yuanyuan Zhao, Hui Guo, Xun Cao, Zhan Ma, Tao Yue, Xuemei Hu. Spectral Reconstruction from Dispersive Blur: Approaching Full Light Throughput Spectral Imager. accepted to IEEE CVPR 2019.

• David J. Brady, Wubin Pang, Han Li, Zhan Ma, Tao Yue, and Xun Cao. Parallel cameras. Optica, 2018, 5(2): 127-137.
• Cheng Yang, Haowen Ma, Xu Cao, Xia Hua, Xiaofeng Bu, Limin Zhang, Tao Yue, Feng Yan. Resolution-Enhanced Lensless Color Shadow Imaging Microscopy Based on Large Field-of-View Submicron-Pixel Imaging Sensors. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.

• Qian Huang, Yunqian Li, Linsen Chen, Xiaoming Zhong, Jinli Suo, Zhan Ma, Tao Yue, Xun Cao. Multispectral focal stack acquisition using a chromatic aberration enlarged camera. IEEE International Conference on Image Processing (ICIP), Sep. 2017.
• Yang Zhao, Tao Yue, Linsen Chen, Hongyuan Wang, Zhan Ma, David J Brady, Xun Cao. Heterogeneous camera array for multispectral light field imaging. Opt. Express, 25(13):14008-14022, June 2017.

• Tao Yue, Jinli Suo, Xun Cao and Qionghai Dai. Efficient Method for High Quality Removal of Non-uniform Blur in Wavelet Domain. IEEE Transactions on Circuits and Systems for Video Technology, May 2016.
• Xun Cao, Tao Yue, Xing Lin, Stephen Lin, Xin Yuan, Qionghai Dai, Lawrence Carin, and David Brady. Computational Snapshot Multispectral Cameras: Towards Dynamic Capture of the Spectral World. IEEE Signal Processing Magazine, 2016.

• Tao Yue, Jinli Suo, Jue Wang, Xun Cao, and Qionghai Dai. Blind optical aberration correction by exploring geometric and visual priors. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1684-1692, 2015.
• Tao Yue, Jinli Suo, and Qionghai Dai. Efficient 3D kernel estimation for non-uniform camera shake removal using perpendicular camera system. In International Workshop on Computational Cameras and Displays (CCD), 2015.
• Xuemei Hu, Jinli Suo, Tao Yue, Liheng Bian and Qionghai Dai. Patch-primitive driven compressive ghost imaging. Optics Express(OE), 2015, 23(9): 11092-11104. Project Page

• Tao Yue, Jinli Suo, Yudong Xiao, Lei Zhang, and Qionghai Dai. Image quality enhancement using original lens via optical computing. Opt. Express, 22(24):29515-29530, Dec 2014.
• Tao Yue, Sunghyun Cho, Jue Wang, and Qionghai Dai. Hybrid image deblurring by fusing edge and power spectrum information. In European Conference on Computer Vision(ECCV), pages 79-93. 2014.
• Tao Yue, Ming-Ting Sun, Zhengyou Zhang, Jinli Suo, and Qionghai Dai. Deblur a blurred RGB image with a sharp NIR image through local linear mapping. In International Conference on Multimedia and Expo(ICME), July 2014.
• Tao Yue, Jinli Suo, and Qionghai Dai. High-dimensional camera shake removal with given depth map. IEEE Transactions on Image Processing, 23(6):2688-2703, June 2014.

• Tao Yue, Jinli Suo, and Qionghai Dai. Non-uniform image deblurring using an optical computing system. Computers & Graphics, 37(8):1039-1050, 2013.
• Tao Yue, Jinli Suo, Xiangyang Ji, and Qionghai Dai. Optical computing system for fast non-uniform image deblurring. In International Workshop on Computational Cameras and Displays (CCD), pages 937-944, June 2013. (Best paper)