Journal Papers

  1. C.Y. Lee, G.L. Chen, Y.H. Chou, C.C. Hsu* and Z.X. Zhang, "Is intensity inhomogeneity correction useful for classification of breast cancer in sonograms using deep neural network?" Journal of Healthcare Engineering (SCI), Dec. 2018. (*corresponding author)
  2. 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 (Special Issue on Large-scale Multimedia Data Retrieval, Classification, and Understanding), Feb. 2018.
  3. L.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, vol. 17, no. 7, pp. 921−934, July 2015.
  4. C.C. Hsu, L.W. Kang, and C.W. Lin, “Temporally coherent super-resolution of textured video via dynamic texture synthesis,” IEEE Transactions on Image Processing (TIP), vol. 24, no. 33, pp.919-931, March 2015.
  5. 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 of Selected Topics in Signal Processing (Special Issue on Perception Inspired Video Processing), vol. 8, no. 3, pp. 377-389, June 2014.
  6. H.T. Chang and C.C. Hsu, C.H. Yeh, & D.F. Shen, "Image authentication with tampering localization based on watermark embedding in wavelet domain," Optical Engineering (SCI), vol. 48, issue 5, 10 pages, May 2009.

Book Chapters

  1. H.T. Chang and C.C. Hsu, "Fractal-based Secured multiple-image distribution and compression," in Handbook of Research on Secure Multimedia Distribution, Chapter 27, Edited by Dr. Shiguo Lian and Dr. Yan Zhang, ISBN: 978-1-60566-262-6, 2008.

Conference Papers

  1. 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.
  2. C.C. Hsu, C.Y. Lee, T.X. Liao, et.al., "An Iterative Refinement Approach for Social Media Headline Prediction," ACM Multimedia (ACMMM), Seoul, Korea, 22 - 26 Oct. 2018. (Oral).
  3. 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. 
  4. 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, 10-13 Dec. 2017. (Accepted as oral).
  5. C.C. Hsu, Yi-Jin Lee, Pei-An Lu, Shan-Shin Lu, et. al. “
  6. Social Media Prediction Based on Residual Learning and Random Forest,” ACM Multimedia (ACMMM), Mountain View, CA, USA, Oct. 2017. (Championship of Grand Challenge, Best Grand Challenge Paper Award)
  7. C.C. Hsu and C.W. Lin, “Unsupervised convolutional neural networks for large-scale image clustering,” IEEE International Conference on Image Processing, Beijing, China, September 2017. (Accepted as oral)
  8. W.T, Su, C.C. Hsu, C.W. Lin, “Supervised-Learning based face hallucination for enhancing face recognition,” IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, March 2016.
  9. C.C. Hsu, L.W. Kang, and C.W. Lin “Video super-resolution via dynamic texture synthesis,” in Proc. IEEE Workshop Multimedia Signal Processing (MMSP), Indonesia, Sept. 2014.
  10. C.C. Hsu, C.W. Lin, Y. Fang, and W. Lin, “Objective quality assessment for image retargeting based on geometric distortion and information loss,” inProc. Conf. Visual Communication and Image Processing (VCIP), Nov. 2013, Kuching, Malaysia.
  11. L.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,” in Proc. IEEE Workshop Multimedia Signal Processing (MMSP), Sept. 2013, Sardina, Italy. (Top 10% paper award)
  12. C.Y. Lin, C.C. Hsu, C.W. Lin, and L.W. Kang, “Fast deconvolution-based image super-resolution using gradient prior,” in Proc. Conf. Visual Communication and Image Processing (VCIP), Nov. 2011, Tainan, Taiwan.
  13. C.C. Hsu and C.W. Lin, “Image super-resolution via feature-based affine transform,” in Proc. IEEE Workshop Multimedia Signal Processing (MMSP), Hang-Zhou, China, Oct. 2011.
  14. C.C. Hsu, C.W. Lin, C.T. Hsu, and H.Y. Mark Liao, “Face hallucination using Bayesian global estimation and local basis selection,” in Proc. IEEE Workshop Multimedia Signal Processing (MMSP) , Saint-Malo, France, Oct. 2010.
  15. C.C. Hsu, C.W. Lin, C.T. Hsu, and H.Y. Mark Liao, “Cooperative face hallucination using multiple priors,” in Proc. IEEE Int. Conf. Multimedia and Expo (ICME), Cancun, Mexican, June 2009.
  16. C.C. Hsu, T.Y. Hung, C.W. Lin, and C.T. Hsu, "Video forgery detection using sensor pattern noise," in Proc. IEEE Workshop on Multimedia Signal Processing (MMSP), Cairns, October 8-10, 2008.
  17. C.C. Hsu and H.T. Chang, "Accelerating vector quantization of images using modified run length coding for adaptive block representation and difference measurement," in Proc. IEEE International Conference of Circuits and Systems (ISCAS), Seattle, May 18~21, 2008.
  18. C.C. Hsu, H.T. Chang, and T.C. Chang, "An improved face detection method in low-resolution video," in Proc. IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), Kaohsiung, Taiwan, November 26~28, 2007.
  19. C.C. Hsu and H.T. Chang, "Efficient moving object extraction in compressed low-bit-rate video," in Proc. IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), Pasadena USA, December 2006.
  1. 童曉儒, 許志仲, 張文誠, "影像辨識方法", Taiwan Patent, 2018.
  2. 許志仲與張軒韶,"影像辨識系統及其操作方法," Taiwan Patent #201329874, 2013.
  3. 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.
  4. Chih-Chung Hsu and Chia-Wen Lin, “Method and system for example-based face hallucination,” USA patent # 8,488,913, 2013.
  5. Chih-Chung Hsu and Chia-Wen Lin, "Super-resolution method and system for human face based on sample," China patent #CN102298775 B, 2013.
  6. 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.
  7. 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.
  8. 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.