基本介紹 Biography

期刊論文 Journal Papers

1. C. S. Fahn, C. Y. Kao, M. L. Wu, and H. E. Chueh, "SOINN-Based Abnormal Trajectory Detection for Efficient Video Condensation", Computer Systems Science and Engineering, vol. 42, no. 2, pp. 451-463, 2022. doi:10.32604/csse.2022.022368 (included in SCI)
2. B. S. Lin, I. J. Lee, C. S. Fahn, Y. F. Lee, W. J. Chou, and M. L. Wu "Depth-Camera Based Energy Expenditure Estimation System for Physical Activity Using Posture Classification Algorithm," Sensors, vol. 21, no. 12, pp. 4216, June 2021. doi:10.3390/s21124216 (included in SCI & EI)
3. Y. S. Chen, S. W. Chiang, and M. L. Wu, "A Few-Shot Transfer Learning Approach Using Text-label Embedding with Legal Attributes for Law Article Prediction," Applied Intelligence, May 2021. doi:10.1007/s10489-021-02516-x (included in SCI & EI)
4. C. S. Fahn, G. Ling, M. Y. Yeh, P. Y. Huang, and M. L. Wu, “Abnormal Maritime Activity Detection in Satellite Image Sequences Using Trajectory Features,” International Journal of Future Computer and Communication, vol. 8, no. 1, pp. 29-33, 2019. doi:10.18178/ijfcc.2019.8.1.535 (included in EI)
5. C. S. Fahn, and S. E. Lee, and M. L. Wu “Real-Time Musical Conducting Gesture Recognition Based on a Dynamic Time Warping Classifier Using a Single-Depth Camera,” Applied Sciences, vol. 9, no. 3, pp. 528-538, Feb. 2019. doi: 10.3390/app9030528 (included in SCI)
6. M. L. Wu, C. S. Fahn, and Y. F. Chen, “Image-format-independent Tampered Image Detection Based on Overlapping Concurrent Directional Patterns and Neural Networks.” Applied Intelligence, pp. 1-15, Mar. 2017. doi: 10.1007/s10489-017- 0893-4 (included in SCI & EI)
7. M. L. Wu, C. S. Fahn, C. Y. Kao, and C. B. Yao, “Exploiting AdaRank Model and Trajectory of Hand Motion for Hand Gesture Recognition,” Sensor Letters, vol. 14, no. 10, pp. 1061-1065, Oct. 2016. doi: 10.1166/sl.2016.3743 (included in SCI & EI)

研討會論文 Conference Papers

1. M. L. Wu, G. Lin, and P. C. Yu, "On the development of a legal penalty prediction system for drunk driving cases," in Proceedings of the International Conference on Machine Learning and Cybernetics, Toyama, Japan, 2022.
2. C. S. Fahn, M. L. Wu, and S. K. Tsau, "An intelligent photographing guiding system based on compositional deep features and intepretable machine learning model," in Proceedings of the International Conference on Pattern Recognition, Milan, Italy, 2021.
3. C. S. Fahn, Y. L. Wang, C. P. Lee, and M. L. Wu, "A novel Chinese reading comprehension model based on attention mechanism and convolutional neural networks," in Proceedings of the International Conference on Machine Learning and Cybernetics, Adelaide, Australia, 2020.
4. C. S. Fahn, T. Y. Wu, and M. L. Wu, "A Cross-Dataset Evaluation of Anti-Face-Spoofing Methods Using Random Forest and Convolutional Neural Network," in Proceedings of the International Conference on Asian Digital Image Processing, Kobe, Japan, 2019.
5. C. S. Fahn, J. Ling, M. Y. Yeh, and M. L. Wu, "A Real-Time Cloud Detection System Using an End-to-End Multiscale Deep Learning Approach," in Proceedings of the International Conference on Astronautics and Space Exploration, Hsinchu, Taiwan, 2019.
6. C. S. Fahn, J. Ling, M. Y. Yeh, M. L. Wu, Y .C. Lan, W. Y. Chao, H. C. Wu, Y. C. Huang, and T. Y. Lu, "A novel cloud detection and satellite attitude planning method for captuing cloudless remote sensing images," in Proceedings of the International Conference on Artificial Intelligence and Soft Computing, Bangkok, Thailand, 2019.
7. C. S. Fahn, J. Ling, M. Y. Yeh, and M. L. Wu, "A Novel Cloud Detection and Satellite Attitude Planning Method for Capturing Cloudless Remote Sensing Images," in Proceedings of the Astronautical Exploration Technology Workshop, Hsinchu, Taiwan, 2019.
8. Y. S. Chen, H. C. Chi, M. L. Wu, and E. C. Sung, “A Machine Learning Based Prediction System of Medical Laws Judgment Using Statute-Classified Decision Tree with Text Similarity,” in Proceedings of TANET 2018, Taoyuan, Taiwan, Oct. 2018, pp. 1253-1258. doi: 10.1109/TENCON.2018.8650544 (Best Paper Award)
9. C. S. Fahn, C. Y. Pan, and M. L. Wu, “An Aesthetic Preference Prediction System for Assessing Natural Images Based on Photo Complexity and Composition Evaluation,” in Proceedings of IEEE Region 10 Conference, Jeju, South Korea, Oct. 2018, pp. 634-639. doi: 10.1109/TENCON.2018.8650544
10. M. L. Wu and C. S. Fahn, “A Real-time Professional Photographing Guiding System through Image Composition Analysis,” in Proceedings of International Conference on Human-Computer Interaction, Vancouver, Canada, Jul. 2017, pp. 466-477. doi: 10.1007/978-3-319-57987-0_38
11. C. S. Fahn, M. L. Wu, and C. C. Liu, “A Surveillance Video Condensation System Based on the Spatial and Temporal Rearrangement of Moving Object Trajectories,” in Proceedings of International Workshop on Advanced Image Technology, Penang, Malaysia, Jan. 2017.
12. M. L. Wu and C. S. Fahn, “A Decision Tree Based Image Enhancement Instruction System for Producing Contemporary Style Images,” in Proceedings of International Conference on Human-Computer Interaction, Toronto, Canada, Jul. 2016, pp. 80-90, doi: 10.1007/978-3-319-40349-6_9
13. H. F. Ho, M. L. Wu, P. Y. Hsiao, and G. A. Chen, “Feasibility of an Asymmetric Hyperboloid Mirror for Surveillance Systems,” in Proceedings of International Conference on Digital Signal Processing, Singapore, Singapore, Jul. 2015, pp. 868-872. doi: 10.1109/ICDSP.2015.7252000
14. C. S. Fahn, B. Y. Su, and M. L. Wu, “Vision-based Identification Extraction for Freight Containers,” in Proceedings of International Conference on Wavelet Analysis and Pattern Recognition, Guangzhou, China, Jul. 2015, pp. 51-57. doi: 10.1109/ICWAPR.2015.7295925
15. C. S. Fahn, B. Y. Su, and M. L. Wu, “A Virtual Handwriting Tablet Based on Pen Shadow Cues,” in Proceedings of International Conference on Human-Computer Interaction, Crete, Greece, Jun. 2014, pp. 224-233. doi: 10.1007/978-3-319-07230-2_22
16. C. S. Fahn and M. L. Wu, “An Autonomous Aesthetics-driven Photographing Instructor with Personality Prediction,” in Proceedings of International Conferences on Computer Graphics, Visualization, Computer Vision, and Game Technology, Jakarta, Indonesia, Dec. 2013, pp. 13-19. doi:10.2991/visio-13.2014.3
17. C. S. Fahn, M. L. Wu, and W. T. Liu, “On the Use of Augmented Reality Technology for Creating Interactive Computer Games,” in Proceedings of Virtual, Augmented and Mixed Reality. Systems and Applications, Las Vegas, Nevada, Jul. 2013, pp. 353-362. doi:10.1007/978-3-642-39420-1_37

專書論文 Book Chapters

• C. S. Fahn and M. L. Wu, “On the Design of a Photo Beauty Measurement Mechanism,” in Perception of Beauty, M. P. Levine, Ed. Rijeka, Croatia: IntechOpen, 2017. doi:10.5772/intechopen.69502

專利 Patents

1. C. S. Fahn and M. L. Wu, “自動尋景拍攝方法及其系統,” R.O.C. Patent I532361, May 1, 2016.
2. C. S. Fahn, M. L. Wu, and C. C. Liu, “一種影片濃縮之系統及方法,” R.O.C. Patent I511058, December 1, 2015.
3. C. S. Fahn and M. L. Wu, “Automatic photographing method and system thereof,” U. S. Patent 9 106 838, August 11, 2015.

科技部計畫 Project

1. 2022 基於深度學習的照片美學評估與攝影指引(MOST 111-2221-E-032-020-) 主持人
2. 2021 基於人工智慧的法律科技技術研發–法學資料檢索與案件結果預測(MOST 110-2222-E-032-004-) 主持人
3. 2020 基於人工智慧之刑法量刑預測技術和系統(MOST 109-2221-E-305-014-) 共同主持人

1. IEEE Computer Society Membership Taipei Section
2. 中華民國影像處理暨圖形識別協會正會員
3. 國立台灣科技大學第八屆院傑出青年
4. 中華民國人工智慧學會會員
5. 中華民國斐陶斐榮譽學會榮譽會員 2014