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| | Chang Liu obtained his PhD in computer science from Wayne State University (Detroit, MI) in 2011, and his BS and MS in engineering from Huazhong University of Science and Technology (China) in 2003 and 2005, respectively. He is currently serving as a radiation computer systems specialist at Henry Ford Hospital (Detroit, MI). As a specialist, he is continuously working to improve medicine and healthcare by creating more efficient and effective diagnosis tools and treatment procedures using state-of-the-art computer technologies. He was a major developer in the virtual colonoscopy project supported by GE (five groups worldwide were selectively invited to participate), and is leading a project supported by Varian regarding real delivered dose estimation during adaptive radiation therapy for prostate patients, which is one of the most challenging problems in radiation oncology. His main research interests include: computer animation, graphical user interfaces, visualization, 3D reconstruction, image segmentation, image registration, and machine learning. His publications and conference activities are mostly with the IEEE. He is also an active participant in the ACM and the AAPM. Besides the interests mentioned above, he is enthusiastic about object-oriented programing (OOP). He has been working with C++ for more than 10 years, and is also fluent in MATLAB, Python, and C#. His teaching experience includes discrete math and OOP. He has been a reviewer for Computing Reviews since 2012. |
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A survey of virtual sample generation technology for face recognition
Li L., Peng Y., Qiu G., Sun Z., Liu S. Artificial Intelligence Review 50(1): 1-20, 2018. Type: Article
Just as the authors state that “virtual sample generation technology belongs to the category of machine learning,” nobody ever has enough real data to train a face recognition model, and they need synthesized data. ...
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Feb 7 2019 |
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Shape classification using spectral graph wavelets
Masoumi M., Hamza A. Applied Intelligence 47(4): 1256-1269, 2017. Type: Article
Spectral analysis on a triangle mesh gained its popularity in shape retrieval due to the success of shape-DNA, which is easy to compute yet can achieve an accuracy of over 90 percent in some tests. The idea of bringing wavelet transfor...
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Feb 15 2018 |
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Artificial intelligence and computer vision
Lu H., Li Y., Springer International Publishing, New York, NY, 2016. 211 pp. Type: Book (978-3-319462-44-8)
Artificial intelligence (AI) has continued to be a buzzword in recent years mainly due to the advances of deep learning techniques and the call from big data. The basic definition of AI requires the computer to see, to understand, and ...
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Jun 28 2017 |
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A dimensionality reduction method based on structured sparse representation for face recognition
Gu G., Hou Z., Chen C., Zhao Y. Artificial Intelligence Review 46(4): 431-443, 2016. Type: Article
Face recognition (FR) is considered to be a typical machine learning problem. Among all FR algorithms, popular models include classical linear models such as eigen face, nonlinear models such as manifold learning, and sparse representa...
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Jan 23 2017 |
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Efficient 3D object segmentation from densely sampled light fields with applications to 3D reconstruction
Yücer K., Sorkine-Hornung A., Wang O., Sorkine-Hornung O. ACM Transactions on Graphics (TOG) 35(3): 1-15, 2016. Type: Article
To segment a static foreground object from a highly cluttered background in an image can be tricky. But how about using an image sequence? Is it true that the more images we have, the better we can do? This paper shows that a considera...
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Jul 27 2016 |
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Extracting flow features via supervised streamline segmentation
Li Y., Wang C., Shene C. Computers and Graphics 52(C): 79-92, 2015. Type: Article
This paper presents a semi-automatic streamline segmentation algorithm, which can be used to identify user-specified features from a streamline soup. The pipeline first clusters the streamlines into groups, and the user needs to manual...
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Dec 14 2015 |
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 TouchCut: fast image and video segmentation using single-touch interaction
Wang T., Han B., Collomosse J. Computer Vision and Image Understanding 12014-30, 2014. Type: Article
Have you ever used the magic wand tool in Photoshop? If so, it accomplishes 90 percent of the work described in this paper. The only difference is that this work uses finger touch instead of a mouse click, thanks to the prevailing touc...
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Jun 9 2015 |
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A two-stage framework for 3D face reconstruction from RGBD images
Wang K., Wang X., Pan Z., Liu K. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(8): 1493-1504, 2014. Type: Article
The application of MS Kinect is popular since it provides the user with color images with depth in real time. Related research in computer graphics has been focused on getting structured information out of the raw data. Although this i...
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Apr 8 2015 |
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A novel model of image segmentation based on watershed algorithm
Yahya A., Tan J., Hu M. Advances in Multimedia 20135-5, 2013. Type: Article
As time goes on, we accumulate more experience with, rather than better algorithms for, image segmentation. Although the title of this paper intrigues readers with the word “novel,” it is nonetheless another ambitio...
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Jul 9 2014 |
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Groupwise registration via graph shrinkage on the image manifold
Ying S., Wu G., Wang Q., Shen D. CVPR 2013 (Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, Jun 23-28, 2013) 2323-2330, 2013. Type: Proceedings
Groupwise registration makes sense when more than two images have to be aligned. In order to remove bias, none of the original images are chosen as the single target image. Instead, a group mean image is used. However, an arithmetic me...
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Apr 15 2014 |
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