成功大學統計學系

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  4. 許志仲
專任教師
姓名 許志仲
職稱 助理教授
專長領域 影像處理、電腦視覺、機器學習、深度學習
E-mail cchsu@gs.ncku.edu.tw
辦公室 管理學院統計系館3樓62321室
聯絡電話 (06)2757575~53641
個人網頁 https://cchsu.info
Ph.D. National Tsing Hua University (NTHU), Electrical Engineering, Taiwan, September. 2014. Ph.D. dissertation topic: Quality enhancement and assessment for image/video resizing. Advisor: Prof. Chia-Wen Lin. 清大電機博士。
M.S.  National Yunlin University of Science and Technology (Yuntech), Taiwan, Electrical Engineering, June 2006. Thesis topic: “Studies of improving coding performance and encryption in various image compression techniques”. Advisor: Prof. Hsuan-Ting Chang. 雲科大電機碩士。

 

Experiences (相關經歷):

Industrial Employment

 

  • Co-Founder & CTO, SKOPY Inc. (NTHU Incubation Center). Oct. 2017-Feb. 2018.
  • Co-Founder & Project Director, Eye-Digit. Inc., Feb. 2011 – Feb. 2013.
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Academic Services

  • Assistant Professor, Department of Management Information Systems, National Pingtung university of Science and Technology, Feb. 2018-Feb. 2021.
  • Vice-Chairman, IEEE SPS Tainan Chapter, Feb. 2020 –Present.Committee of Career Development, National Pingtung University of Science and Technology (NPUST), August 2019—Present.
  • Committee of Teacher Grievances, NPUST, August 2019—Present.
  • Curriculum Committee in College of Management, NPUST, August 2018—Present.
  • Committee of Distance Learning, NPUST, August 2018 – Present.
  • NPUST AOL (Assurance of Learning) Vice Chairmain in AACSB Group, February 2018 – Present.
  1. C.C. Hsu, C.H. Lin, C.-H. Kao, and Y.-C. Lin, “DCSN: Deep compressed sensing network for efficient hyperspectral data transmission of miniaturized satellite,” IEEE Transactions on Geoscience and Remote Sensing (IF: 5.85, Rank 29/1409=2% in Electrical and Electronic Engineering), 2020 (accepted).
  2. C.C. Hsu, Y.X. Cheung, C.Y. Lee, “Deep Fake Image Detection based on Pairwise Learning,” Applied Sciences (SCI/Q2), 10(1), 370, Jan. 2020. (IF: 2.21, Rank 85/299=28% in General Engineering)
  3. C.C. Hsu, C.W. Lin, W.T. Su, and G. Cheung, “SiGAN: Siamese generative adversarial network for identity-preserving face hallucination,” IEEE Transactions on Image Processing (TIP), vol. 28, issue 12, pp. 6225-6236, Dec. 2019. (IF:9.34, Rank: 5/334=1% in Computer Graphics and Computer-Aided Design Software).
  4. C.C. Hsu, C.W. Lin, “CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data,” IEEE Transactions on Multimedia (TMM), vol. 20, issue 2, pp. 421-429 , Feb. 2018. (IF:6.051, Rank: 2/195=1% in Media Technology).
  5. W. Kang, C.C. Hsu, B.Q. Zhuang, C.W. Lin, and C.H. Yeh, “Learning-based joint super-resolution and deblocking for a highly compressed image,” IEEE Transactions on Multimedia (TMM), vol. 17, issue. 7,  pp. 921−934, July 2015 (IF: 6.051, Ranking: 2/195=1% in Media Technology).
  6. C.C. Hsu, L.W. Kang, and C.W. Lin, “Temporally coherent super-resolution of textured video via dynamic texture synthesis,” IEEE Transaction on Image Processing (TIP),vol. 24, issue. 3, pp.919-931, March 2015 (IF:9.34, Rank: 5/334=1% in Computer Graphics and Computer-Aided Design Software).
  7. C.C. Hsu,C.W Lin, Y. Fan, and W. Lin, “Objective quality assessment for image retargeting based on perceptual geometric distortion and information loss,” IEEE Journal on Selected Topics in Signal Processing (Special Issue on Perception Inspired Video Processing), vol. 8, issue 3, pp. 377-389, June 2014 (IF:4.981, Rank: 7/543=1% in Signal Processing).
  1. C.C. Hsu, C, Lee, C. Lin, K.M. Hung, Y.L. Lin, X.Y. Wang, “Efficient-ROD: Efficient Radar Object Detection based on Densely Connected Residual Network,” in Proc. of ACM International Conference on Multimedia Retrieval (ICMR), 21-24 Aug., 2021. (Accepted)
  2. C.C. Hsu, W.H. Zheng, H.T. Yang, C.H. Lin, and C.H. Kao, “Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction,” in Proc. of ACM Multimedia, 12-16 Oct. 2020 (Oral).
  3. C.C. Hsu, W.H. Zheng, and H.T. Yang, “Learning to Predict Risky Driving Behaviors for Autonomous Driving,” in Proc. IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), 28-30 Sept. 2020.
  4. C.C. Hsu and K.Y. Huang, “Coupled adversarial learning for single image super-resolution,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (IEEE SAM), June 2020.
  5. C.C. Hsu, C.H. Hung, C.Y. Jian, et.al., “Stronger baseline for vehicle re-identification in the wild,” in Proc. IEEE Conf. Visual Communication and Image Processing (VCIP), Dec. 2019.
  6. C.C. Hsu and C.H. Lin, “Dual reconstruction with densely connected residual network for single image super-resolution,” in Proc. IEEE International Conference on Computer Vision (ICCV, Top Conference on Computer Vision) Workshop, Oct. 2019.
  7. C.C. Hsu, L.W. Kang, C.Y. Lee, et.al., ” Popularity prediction of social media based on multi-modal feature mining,” ACM Multimedia (ACM MM, Top Conference on Multimedia), Nice, France, 21 – 25 Oct. 2019.
  8. X. Zhuang and C.C. Hsu, “Detecting generated image based on coupled network with two-step pairwise learning,” IEEE International Conference on Image Processing (ICIP, Top Conference on Multimedia), Taipei, Taiwan, 2019. (Best Student Award)
  9. C.C. Hsu, C.Y. Lee, Y.X. Cheung, “Learning to detect fake face images in the wild,”International Symposium on Computer, Consumer and Control (IS3C), pp. 388-391, Taichung, Taiwan, 2018.
  10. C.C. Hsu, C.Y. Lee, T.X. Liao, et.al., “An iterative refinement approach for social media headline prediction,” ACM Multimedia (ACM MM), Seoul, Korea, 22 – 26 Oct. 2018.
  11. W.-T. Su, C.C. Hsu, Z. Huang, C.W. Lin, G. Cheung, “Joint pairwise learning and image clustering based on a siamese CNN, ” IEEE International Conference on Image Processing (ICIP), Athens, Greece, Oct. 7-10, 2018.
  12. C.C. Hsu and C.W. Lin, “Objective quality assessment for video retargeting based on spatio-temporal distortion analysis,” IEEE Conference on Visual Communications and Image Processing (VCIP), 10-13 Dec. 2017. (Oral).
  13. C.C. Hsu, Yi-Jin Lee, Pei-An Lu, Shan-Shin Lu, et. al. “Social media popularity prediction based on random forest and residual learning,” ACM Multimedia (ACM MM), Mountain View, CA, USA, Oct. 2017. (Oral & Best Grand Challenge Paper Award)
  14. C.C. Hsu and C.W. Lin, “Unsupervised convolutional neural networks for large-scale image clustering,” IEEE International Conference on Image Processing (ICIP), Beijing, China, September 2017.
  15. W. Kang, B.C. Chuang,C.C. Hsu, C.W. Lin, and C.H. Yeh, “Self-Learning-Based Single Image Super-Resolution of a Highly Compressed Image,” IEEE Workshop Multimedia Signal Processing (MMSP), Sept. 2013, Sardinia, Italy. (Top 10% Paper Award)

Patents

  1. C. Hsu and T.C. Lee, “System and method for diagnosing gastrointestinal neoplasm,” US Patent (Enclosing publication)
  2. 童曉儒, 許志仲, 張文誠, “影像辨識方法”, Taiwan Patent, 2018.
  3. 許志仲與張軒韶，”影像辨識系統及其操作方法,” Taiwan Patent #201329874, 2013.
  4. 許志仲與林嘉文，”利用仿射轉換建立影像資料庫之方法,” Taiwan Patent #201317938, 2013.
  5. Chih-Chung Hsu and Chia-Wen Lin, “Method and system for example-based face hallucination,” USA patent # 8,488,913, 2013.
  6. Chih-Chung Hsu and Chia-Wen Lin, “Super-resolution method and system for human face based on sample,” China patent #CN102298775 B, 2013.
  7. 林嘉文與許志仲，”以樣本為基礎之人臉超解析度方法與系統,” Taiwan Patent #201145181, 2011.
  8. 張廷政, 張軒庭, 與許志仲, “應用於網際網路上之分散式並聯加密方法,” Taiwan Patent #094122766, 2005.
  9. 許志仲, 王焜潔, 與張廷政, “應用於網際網路上之分散式加密方法,” Taiwan Patent #093135605, 2004.

International Awards

  • 6th place (Top 2%), ROD Challenge, ACM International Conference on Multimedia Retrieval (ICMR), Apr. 2021.
  • Top-Performance Award, Social Media Prediction Challenge on ACM Multimedia, Oct. 2020.
  • 4th place, IEEE SPS Video and Image Processing Challenge CUP, IEEE International Conference on Image Processing (ICIP), Sept. 2020.
  • 3rd place, Visual Inductive Priors for Data-Efficient Computer Vision (VIPriors) Challenge (Semantic Segmentation track), European Conference on Computer Vision (ECCV), Aug. 2020.
  • 3rd place, Automatic Detection Challenge on Age-related Macular Degeneration (ADAM), IEEE International Symposium on Biomedical Imaging (ISBI), Apr. 2020.
  • 4th place, Grand Challenge: Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries, IEEE International Conference on Multimedia & Expo (ICME), Feb. 2020.
  • 3rd Place, Learning to Drive Challenge (Autonomous Driving Workshop), IEEE International Conference on Computer Vision (ICCV), Nov. 2019.
  • 5th Place, AIM Real-World Image Super-Resolution Challenge: Track1, Nov. ICCV, 2019
  • Best Student Paper Award (from 2071 submissions), IEEE International Conference on Image Processing (ICIP), Sept. 2019
  • 3rd Place, Vehicle Re-identification Challenge, IEEE International Conference on Visual Communications and Image Processing (VCIP), Dec. 2019.
  • 5nd Place, Embedded Deep Learning Object Detection Model Competition, International Workshop on Multimedia Signal Processing (MMSP), Oct. 2019.
  • Best-Performance Award, Social Media Prediction Challenge on ACM Multimedia, Oct. 2019.
  • Top-Performance Award, Social Media Headline Prediction Challenge on ACM Multimedia, Oct. 2018.
  • Best-Performance Award, Social Media Prediction Challenge on ACM Multimedia, Oct. 2017.
  • Top 10% paper Award, MMSP, Oct. 2013.

Domestic Awards

  • 第三名、佳作，指導學生參加屏科大資管系專題競賽，Dec. 2020.
  • Finalist of Best Paper Award, IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), Aug. 2020.
  • 屏科大學生傑出表現獎勵 (全校獎金最多)，指導學生：[簡志宇、莊易修、李俊毅、洪慶豪、楊皓珽、曾文海]，June 2020.
  • 第三名、佳作，指導學生參加屏科大資管系專題競賽，Dec. 2019.
  • 屏科大校傑出學生獎勵 (全校共六位)，指導學生: 李俊毅 ，Oct. 2019.
  • Excellent Paper Award, CVGIP, Aug. 2019
  • Excellent Performance Award, Automated Optical Inspection Challenge, AIDEA Taiwan, June 2019.
  • Excellent Paper Award, Workshop on Consumer Electronics, Oct. 2018.
  • Excellent Talent Reward, MOST, Taiwan, Aug. 2018.
  • Excellent Paper Award, CVGIP, Aug. 2017.
  • Best Paper Award, CVGIP, Aug. 2015.
  • Outstanding Teaching Assistant Award (Introduction to Academic Writing, E.E., NTHU), Feb. 2013.
  • Best Paper Award, CVGIP, Aug. 2013.
  • Best Paper Award, CVGIP, Aug. 2010.
  • Best Paper Award, CVGIP, Aug. 2008.
  •  

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共同指導@NPUST

109碩士班：李俊毅、馬欣蒂、廖涴婷

108碩士班：洪慶豪、林郁芳

 

@NPUST

107碩士班：莊易修、簡志宇

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