論文發表

Guo-Zhang Jian, Guo-Shiang Lin*, Chuin-Mu Wang, and Sheng-Lei Yan, “Classification of Helicobacter Pylori Infection Based on Deep Convolutional Neural Network with Visual Attention and Self-Supervised Learning for Endoscopic Images.”Multimedia Tools and Applications, vol. 82, pp. 37731–37754, 2023.

Lee Aing, Wen-Nung Lie*, and Guo-Shiang Lin, “Faster and Finer Pose Estimation for Multiple Instance Objects in a Single RGB Image.” Image and Vision Computing, Vol. 130, 2023. (SCI)

Guo-Shiang Lin* , Jia-Cheng Tu, and Jen-Yung Lin,"Keyword Detection Based on RetinaNet and Transfer Learning for Personal Information Protection in Document Images."Applied Sciences ,Vol. 11, No.20:9528, 2021.(SCI)

Guo-Shiang Lin*, Kuan-Ting Lai, Jian-Ming Syu, Jen-Yung Lin, and Sin-Kuo Chai, “Instance Segmentation Based on Deep Convolutional Neural Networks and Transfer Learning for Unconstrained Psoriasis Skin Images.” Applied Sciences , Vol.11, No.7:3155, 2021.(SCI)

Guo-Shiang Lin*, Sin-Kuo Chai, Hsiang-Min Li, and Jen-Yung Lin, “Vision-Based Patient Identification Recognition Based on Image Content Analysis and Support Vector Machine for Medical Information System.” EURASIP Journal on Advances in Signal Processing , Vol. 2020.1, pp.1-15,2020.(SCI)

Day-Fann Shen, Jian-Jhih Guo, Guo-Shiang Lin*, and Jen-Yung Lin “Content-Aware Specular Reflection Suppression Based on Adaptive Image Inpainting and Neural Network for Endoscopic Images.” Computer Methods and Programs in Biomedicine, Vol. 192, 2020.(SCI)

Wen -Nung Lie*, Chia -Yung Hsieh, and Guo -Shiang Lin,"Key-frame-based background sprite generation for hole filling in depth image-based rendering." IEEE Transactions on Multimedia, Vol. 20.5, pp.1075–1087, 2018.(SCI)

Guo-Shiang Lin*, Nguyen-Minh Tuan, and Wen-Jan Chen, “Detecting Region of Interest for Cadastral Images in Taiwan.”, Multimedia Tools and Applications, Vol. 76, No. 23, pp. 25369–25389, 2017.(SCI)

Guo-Shiang Lin, Jian-Fa Huang, and Wen-Nung Lie*, “Key-frame-based depth propagation for semi-automatic stereoscopic video conversion.” Journal of Visual Communication and Image Representation, Vol. 43, pp. 127–137, 2017.(SCI)

Guo-Shiang Lin* and Xian-Wei Ji, “Video Quality Enhancement Based on Visual Attention Model and Multi-level Exposure Correction.” Multimedia Tools and Applications, Vol. 75, No. 16, pp. 9903–9925, 2016.(SCI)

Guo-Shiang Lin, Min-Kuan Chang*, Yu-Jui Chang, and Chia-HungYeh, “A Gender Classification Scheme Based on Multi-Region Feature Extraction and Information Fusion for Unconstrained Images.” Multimedia Tools and Applications, Vol. 75, No. 16, pp. 9775–9795, 2016.(SCI)

Guo-Shiang Lin, Chun-Yu Chen, Chun-Ting Kuo, and Wen-Nung Lie*, "A computing framework of adaptive support-window multi-lateral filter for image and depth processing.” IEEE Transactions on Broadcasting ,vol. 60,no. 3,pp. 452-463, 2014. (SCI,Impact Factor=2.652, rank=9/78=11.5%)

Tang-You Chang, Shen-Chuan Tai, and Guo-Shiang Lin*, “A Passive Multi-Purpose Scheme Based  on Periodicity Analysis of CFA Artifacts For Image Forensics.” Journal of Visual Communication and Image Representation, vol. 25, no. 6, pp.1289- pp.1298, Aug. 2014. (SCI)

Guo-Shiang Lin*, Sin-Kuo Chai, Wei-Cheng Yeh, and Yi-Chang Lin, “Suspicious Region Detection and Identification Based on Intra-/Inter-frame Analyses and Fuzzy Classifier for Breast Magnetic Resonance Imaging.” International Journal of Pattern Recognition and Artificial Intelligence, vol. 28, no. 3:1450007,2014. (SCI)

Guo-Shiang Lin*, Yu-Cheng Chang, Wei-Cheng Yeh, Kai-Che Liu, Chia-Hung Yeh, “A PYRAMID-BASED MASS DETECTION SCHEME BASED ON TEXTURE ANALYSIS AND NEURAL CLASSIFIER FOR DIGITAL MAMMOGRAMS.” Biomedical Engineering: Applications, Basis and Communications,  vol. 26, no. 4:1440001,2014. (SCI)

Guo-Shiang Lin and Jie-Fan Chang, "Detection of Frame Duplication Forgery in Videos Based on Spatial and Temporal Analysis." International Journal of Pattern Recognition and Artificial Intelligence, vol. 26, no. 7:1250017, 2012. (SCI)

Guo-Shiang Lin, Hsiang-Yun Huang, Wei-Chih Chen, Cheng-Ying Yeh, Kai-Che Liu, and Wen-Nung Lie*, “A stereoscopic video conversion scheme based on spatio-temporal analysis of MPEG videos.” EURASIP Journal on Advances in Signal Processing, vol. 2012.1 ,pp.1-15,2012. (SCI)

Guo-Shiang Lin and Min-Kuan Lai, "An Adaptive Interpolation Scheme Based on Iterative Back-Projection and HVS-based Quality Metric for Image Sequences.",International Journal of Pattern Recognition and Artificial Intelligence, vol. 25, no. 5, pp.  675-694, 2011. (SCI)

Guo-Shiang Lin, Min-Kuan Chang, and You-Lin Chen, “A Passive-Blind Scheme for Image Forgery Detection Based on Content-Adaptive Quantization Table Estimation." IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 4, pp. 421-434, 2011. (SCI, Impact Factor =2.951)

Guo-Shiang Lin, Yi-Ting Chang, and Wen-Nung Lie*, “A framework of enhancing image steganography with picture quality optimization and anti-steganalysis based on simulated annealing algorithm.” IEEE Transactions on Multimedia, vol. 12, no. 5, pp. 345-357, 2010. (SCI, Impact Factor =2.288)

Guo-Shiang Lin, Min-Kuan Chang, and Shien-Tang Chiu, “A feature-based Scheme for detecting and classifying video-shot transitions based on spatio-temporal analysis and fuzzy classification.” International Journal of Pattern Recognition and Artificial Intelligence , vol. 23, No. 6, pp. 1179-1200, 2009.(SCI)

Cheng-Hung Chuang and  Guo-Shiang Lin, “An optical image cryptosystem based on adaptive steganography.” Optical Engineering , vol. 47, no. 4, pp. 047002-1-047002-9, April 2008.(SCI,EI)

Wen-Nung Lie, Guo-Shiang Lin, and Shen-Long Cheng, “Dual Protection of JPEG Images Based on Informed Embedding and Two-stage Watermark Extraction.” IEEE Transactions on Information Forensics and Security , vol. 1, no. 3, pp. 330-341, Sep. 2006. (SCI, Impact Factor =2.23)

Wen-Nung Lie and Guo-Shiang Lin, “A feature-based classification technique for blind image steganalysis.” IEEE Transactions on Multimedia, vol. 7, no. 6, pp. 1007-1020, Dec. 2005.(SCI,EI)

Guo-Shiang Lin, Hsuan T. Chang, Wen-Nung Lie, and Cheng-Hung Chuang, “A public-key-based optical image cryptosystem based on data embedding techniques.” Optical Engineering , vol. 42, no. 8, pp. 2331-2339, Aug. 2003.(SCI,EI)