Frank Shih
Frank Shih
Professor, Computer Science
4205 Guttenberg Information Technologies Center (GITC)
Education
Ph.D.; Purdue University-Main Campus; Electrical And Computer Engineering; 1987
M.S.; Stony Brook University; Electrical And Computer Engineering; 1984
B.S.; National Cheng Kung University; Electrical Engineering; 1980
M.S.; Stony Brook University; Electrical And Computer Engineering; 1984
B.S.; National Cheng Kung University; Electrical Engineering; 1980
Website
2024 Fall Courses
CS 488 - INDEPENDENT STUDY IN CS
CS 790A - DOCT DISSERTATION & RES
CS 701B - MASTER'S THESIS
CS 700B - MASTER'S PROJECT
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
CS 792 - PRE-DOCTORAL RESEARCH
CS 790A - DOCT DISSERTATION & RES
CS 701B - MASTER'S THESIS
CS 700B - MASTER'S PROJECT
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
CS 792 - PRE-DOCTORAL RESEARCH
Teaching Interests
Image Processing, Information Security and Privacy, Biometrics Identification, Sensor Networks, Computer Vision, Solar Image Analysis, Computer Graphics
Past Courses
CS 101: COMP PROG & PROB SOLVING
CS 103: COMPUT SCI-BUSINESS PROB
CS 657: INTERACTIVE GRAPHICS
CS 659: IMAGE PROCESSING
CS 659: IMAGE PROCESSING AND ANALYSIS
CS 103: COMPUT SCI-BUSINESS PROB
CS 657: INTERACTIVE GRAPHICS
CS 659: IMAGE PROCESSING
CS 659: IMAGE PROCESSING AND ANALYSIS
Research Interests
Image Processing, Information Security and Privacy, Biometrics Identification, Sensor Networks, Computer Vision, Solar Image Analysis, Computer Graphics
Journal Article
Nia, S., & Shih, Frank Y. (2024). Medical X-ray image enhancement using global contrast-limited adaptive histogram equalization. Pattern Recognition and Artificial Intelligence, 38(8), 2457010 (17 pages).
Wu, Y., & Shih, Frank Y., & Wang, C., & Hsiao, K., & Liu, Y., & Chang, F., & Yu, E. (2024). The deep hybrid neural network and an application on polyp detection. Pattern Recognition and Artificial Intelligence, 38(4), 2452009 (21 pages).
Tsai, Chun-Ming , & Shih, Frank Y. (2024). A Novel Multi-data-augmentation and Multi-deep-learning Framework for Counting Vehicles and Crowds . Pattern Recognition and Artificial Intellgence, 38(2), 2452001 (24 pages).
Rubel, A.S., & Shih, Frank Y. (2023). FPA-Net: Frequency-guided position-based attention network for land cover image segmentation. Pattern Recognition and Artificial Intelligence, 37(8), 2354015 (20 pages).
Shen, Yucong, & Shih, Frank Y., & Chen, Hao (2023). Drug toxicity prediction by machine learning approaches. Pattern Recognition and Artificial Intelligence, 37(8), 2351013 (14 pages).
Wu, Y., & Shih, Frank Y., & Wang, C., & Hsiao, K., & Liu, Y., & Chang, F., & Yu, E. (2024). The deep hybrid neural network and an application on polyp detection. Pattern Recognition and Artificial Intelligence, 38(4), 2452009 (21 pages).
Tsai, Chun-Ming , & Shih, Frank Y. (2024). A Novel Multi-data-augmentation and Multi-deep-learning Framework for Counting Vehicles and Crowds . Pattern Recognition and Artificial Intellgence, 38(2), 2452001 (24 pages).
Rubel, A.S., & Shih, Frank Y. (2023). FPA-Net: Frequency-guided position-based attention network for land cover image segmentation. Pattern Recognition and Artificial Intelligence, 37(8), 2354015 (20 pages).
Shen, Yucong, & Shih, Frank Y., & Chen, Hao (2023). Drug toxicity prediction by machine learning approaches. Pattern Recognition and Artificial Intelligence, 37(8), 2351013 (14 pages).
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Conference Proceeding
Perspective transformation layer
Intl. Conf. Computational Science and Computational Intelligence, December 2022
Real-time vehicle counting by deep-learning networks
Intl. Conf. Machine Learning and Cybernetics (ICMLC), September 2022
Automated diagnosis of acne and rosacea using convolution neural networks
Proc. 4th Intl. Conf. Artificial Intelligence and Pattern Recognition (AIPR 2021), September 2021
Adversarially robust and accurate machine learning for image classification
CRA-WP Visual Workshop, April (2nd Quarter/Spring) 2021
Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks
IEEE Intl. Conf. Bioinformatics and Biomedicine (BIBM), December 2020
Intl. Conf. Computational Science and Computational Intelligence, December 2022
Real-time vehicle counting by deep-learning networks
Intl. Conf. Machine Learning and Cybernetics (ICMLC), September 2022
Automated diagnosis of acne and rosacea using convolution neural networks
Proc. 4th Intl. Conf. Artificial Intelligence and Pattern Recognition (AIPR 2021), September 2021
Adversarially robust and accurate machine learning for image classification
CRA-WP Visual Workshop, April (2nd Quarter/Spring) 2021
Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks
IEEE Intl. Conf. Bioinformatics and Biomedicine (BIBM), December 2020
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Chapter
Xue, Y, & Yang, Y, & Farhat, G, & Shih, Frank Y. (2020). Brain tumor classification with tumor segmentations and a dual path residual convolutional neural network from MRI and pathology images, A. Crimi and S. Bakas (Eds.), Springer Nature Switzerland . (pp. 1-8). Springer Nature Switzerland
Shih, Frank Y. (2010). Automated detection and classification of solar image features, Handbook of Pattern Recognition and Computer Vision, World Scientific Publishing. (pp. 435-452). Handbook of Pattern Recognition and Computer Vision, World Scientific Publishing
Shih, Frank Y. (2009). Image Segmentation, Encyclopedia of Database Systems, Springer. Encyclopedia of Database Systems, Springer
Shih, Frank Y., & Wu, Y. (2009). Information hiding by digital watermarking, Information Hiding and Applications, Springer. (pp. 205-223). Information Hiding and Applications, Springer
Shih, Frank Y., & Wu, Yi-Ta (2009). Information hiding by digital watermarking, J.-S. Pang, H.-C. Huang, and L. C. Jain (Eds.), Springer. (pp. 205-223). New York, NY: Springer
Shih, Frank Y. (2010). Automated detection and classification of solar image features, Handbook of Pattern Recognition and Computer Vision, World Scientific Publishing. (pp. 435-452). Handbook of Pattern Recognition and Computer Vision, World Scientific Publishing
Shih, Frank Y. (2009). Image Segmentation, Encyclopedia of Database Systems, Springer. Encyclopedia of Database Systems, Springer
Shih, Frank Y., & Wu, Y. (2009). Information hiding by digital watermarking, Information Hiding and Applications, Springer. (pp. 205-223). Information Hiding and Applications, Springer
Shih, Frank Y., & Wu, Yi-Ta (2009). Information hiding by digital watermarking, J.-S. Pang, H.-C. Huang, and L. C. Jain (Eds.), Springer. (pp. 205-223). New York, NY: Springer
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Book
Shih, Frank Y. (2017). Digital Watermarking and Steganography: Fundamentals and Techniques, Second Edition. Boca Raton, FL: CRC Press
Shih, Frank Y. (2010). Image Processing and Pattern Recognition: Fundamentals and Applications. New Jersey: IEEE Press and Wiley Publisher
Shih, Frank Y. (2009). Image Processing and Mathematical Morphology: Fundamentals and Applications. Boca Raton, FL: Taylor & Francis Group, CRC Press
Shih, Frank Y. (2008). Digital Watermarking and Steganography: Fundamentals and Techniques. Boca Raton, FL: Taylor & Francis Group, CRC Press
Shih, Frank Y. (2010). Image Processing and Pattern Recognition: Fundamentals and Applications. New Jersey: IEEE Press and Wiley Publisher
Shih, Frank Y. (2009). Image Processing and Mathematical Morphology: Fundamentals and Applications. Boca Raton, FL: Taylor & Francis Group, CRC Press
Shih, Frank Y. (2008). Digital Watermarking and Steganography: Fundamentals and Techniques. Boca Raton, FL: Taylor & Francis Group, CRC Press