Yung-hui Li, Ph.D.
Affiliations: | 2010 | Carnegie Mellon University, Pittsburgh, PA |
Area:
roboticsGoogle:
"Yung-hui Li"Cross-listing: Physics Tree
Parents
Sign in to add mentor| Marios Savvides | grad student | 2010 | Carnegie Mellon | |
| (Robust Long Range Iris Recognition from Video Using Super Resolution.) | ||||
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Publications
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| Li Y, Aslam MS, Yang K, et al. (2020) Classification of Body Constitution Based on TCM Philosophy and Deep Learning Symmetry. 12: 803 |
| Li Y, Yeh N, Chen S, et al. (2019) Computer-Assisted Diagnosis for Diabetic Retinopathy Based on Fundus Images Using Deep Convolutional Neural Network Mobile Information Systems. 2019: 1-14 |
| Li Y, Huang P, Juan Y. (2019) An Efficient and Robust Iris Segmentation Algorithm Using Deep Learning Mobile Information Systems. 2019: 1-14 |
| Chang Y, Shih TK, Li Y, et al. (2018) Effectiveness evaluation of iris segmentation by using geodesic active contour (GAC) The Journal of Supercomputing. 76: 1628-1641 |
| Li Y, Huang P. (2017) An Accurate and Efficient User Authentication Mechanism on Smart Glasses Based on Iris Recognition Mobile Information Systems. 2017: 1-14 |
| Hsieh SH, Li YH, Tien CH, et al. (2015) Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution. Ieee Transactions On Cybernetics |
| Li YH, Savvides M. (2013) An automatic iris occlusion estimation method based on high-dimensional density estimation. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 784-96 |
| Li YH, Savvides M. (2009) Fast and robust probabilistic inference of iris mask Proceedings of Spie - the International Society For Optical Engineering. 7306 |
| Li YH, Savvides M. (2009) A pixel-wise, learning-based approach for occlusion estimation of iris images in polar domain Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1357-1360 |
| Li YH, Savvides M. (2009) Automatic iris mask refinement for high performance iris recognition 2009 Ieee Workshop On Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, Cib 2009 - Proceedings. 52-58 |