國立中興大學電機工程學系

›師資介紹› 通訊資訊組

師資介紹
Professor

通訊資訊組
返回

劉宗榮Tsung-Jung Liu

2. 1. 職稱
    
    副教授
  3. 學歷
    
    美國南加州大學電機博士
  5. 電話
    
    886-4-22851549-803
  7. 電子信箱
    
    tjliu@dragon.nchu.edu.tw
  9. 實驗室
    
    感知資料分析與處理實驗室(應科大樓R722)
  11. 個人網頁
重要經歷
Associate Professor, EE & GICE, National Chung Hsing University, 08/2019 - present
Assistant Professor, EE & GICE, National Chung Hsing University, 02/2015 - 07/1019
Postdoctoral Research Fellow, IIS, Academia Sinica, 10/2014 - 01/2015
Research Assistant, SIPI, EE, University of Southern California, 01/2011 - 08/2014

研究領域
視覺品質評估
感知圖像/視頻處理
樣形識別/機器學習
使用者經驗
巨量資料
電腦視覺
人工智慧

學術服務
‧ Technical Program Committee (TPC) member for the 20th IEEE International Conference on Multimedia and Expo (ICME 2019)
‧ Program Committee (PC) member for the 11th International Conference on Advanced Computational Intelligence (ICACI2019)
‧ Session Chair for 2019 IEEE International Conference on Multimedia and Expo (ICME 2019)
‧ Session Chair for IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2019)
‧ Session Chair for IPPR the 31th Conference on Computer Vision, Graphics, and Image Processing (CVGIP 2018)
‧ Session Chair for 2017 IEEE International Conference on Image Processing (ICIP 2017)
‧ Reviewer for IEEE Transactions on Multimedia.
‧ Reviewer for IEEE Transactions on Neural Networks and Learning Systems.
‧ Reviewer for IEEE Transactions on Image Processing.
‧ Reviewer for IEEE Transactions on Circuits and Systems for Video Technology.
‧ Reviewer for IEEE Signal Processing Letters.
‧ Reviewer for IEEE Access
‧ Reviewer for Journal of Visual Communication and Image Representation.
‧ Reviewer for International Journal of Embedded Systems.
‧ Reviewer for Journal of Information Science and Engineering.
‧ Reviewer for Signal Processing: Image Communication
‧ Reviewer for international conferences and workshops, including
- ACM Multimedia (ACM MM 2012, 2016)
- IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2012, 2014, 2018)
- IEEE International Conference on Multimedia & Expo (IEEE ICME 2013, 2014, 2019)
- IEEE International Conference on Image Processing (IEEE ICIP 2013, 2014)
- IEEE China Summit & International Conference on Signal and Information Processing (IEEE ChinaSIP 2013)
- IEEE International Workshop on Multimedia Signal Processing (IEEE MMSP 2013)
- IEEE International Workshop on Quality of Multimedia Experience (IEEE QoMEX 2016)
- IEEE International Symposium on Circuits and Systems (IEEE ISCAS 2017, 2018, 2019)
- IEEE International Conference on Consumer Electronics (IEEE ICCE 2020)
- Picture Coding Symposium (PCS 2013)
- The 11th International Conference on Advanced Computational Intelligence (ICACI2019)

榮譽獎勵
‧中興大學工學院106學年度優良導師獎
‧中興大學電資學院107學年度優良導師獎

著作目錄
1. A.期刊論文
2. 1. 1.
  2. Kuan-Hsien Liu, and Tsung-Jung Liu, “A Structure-Based Human Facial Age Estimation Framework under a Constrained Condition,” IEEE Transactions on Image Processing, vol.28, no.10, pp.5187-5200, October 2019. (SCI)
3. 1. 2.
  2. Tsung-Jung Liu, Kuan-Hsien Liu, and Kuan-Hung Shen, “Learning Based No-Reference Metrics for Assessing Quality of Experience of Stereoscopic Images,” Journal of Visual Communication and Image Representation, vol.61, pp.272-283, May 2019. (SCI)
4. 1. 3.
  2. Tsung-Jung Liu, Ching-Ti Lin, Hsin-Hua Liu, and Soo-Chang Pei, “Blind Stereoscopic Image Quality Assessment Based on Hierarchical Learning,” IEEE Access, vol.7, no.1, pp.8058-8069, January 2019. (SCI)
5. 1. 4.
  2. Tsung-Jung Liu, Hsin-Hua Liu, Soo-Chang Pei, and Kuan-Hsien Liu, “A High-Definition Diversity-Scene Database for Image Quality Assessment,” IEEE Access, vol.6, no.1, pp.45427-45438, December 2018. (SCI)
6. 1. 5.
  2. Tsung-Jung Liu, “Visual Quality Assessment on Pattern Images: Subjective Evaluation and Visual Saliency Effects,” IEEE Access, vol.6, no.1, pp.61432-61444, December 2018. (SCI)
7. 1. 6.
  2. Tsung-Jung Liu, and Kuan-Hsien Liu, “No-Reference Image Quality Assessment by Wide- Perceptual-Domain Scorer Ensemble Method,” IEEE Transactions on Image Processing, vol.27, no.3, pp.1138-1151, March 2018. (SCI、EI)
8. 1. 7.
  2. Tsung-Jung Liu, Kuan-Hsien Liu, Joe Yuchieh Lin, Weisi Lin, and C.-C. Jay Kuo, “A ParaBosst method to image quality assessment,” IEEE Transactions on Neural Networks and Learning Systems, vol.28, no.1, pp.107-121, January 2017. (SCI、EI)
9. 1. 8.
  2. Kuan-Hsien Liu, Tsung-Jung Liu, and Hsin-Hua Liu, “A 3D Model Retrieval System via Statistical-Based Feature Selection,” International Journal of Scientific Progress and Research, vol.30, no.1, pp.6-11, December 2016.
10. 1. 9.
  2. Tsung-Jung Liu, Kuan-Hsien Liu, and Hsin-Hua Liu, “Correlation Coefficients: Reliable Performance Indices for Visual Quality Assessment?,” International Journal of Scientific Progress and Research, vol.30, no.1, pp.1-5, December 2016.
11. 1. 10.
  2. Joe Yuchieh Lin, Rui Song, Chi-Hao Wu, Tsung-Jung Liu, Haiqiang Wang, and C.-C. Jay Kuo, “MCL-V: A streaming video quality assessment database,” Journal of Visual Communication and Image Representation, vol.30, pp.1-9, July 2015. (SCI)
12. 1. 11.
  2. Tsung-Jung Liu, Yu-Chieh Lin, Weisi Lin, and C.-C. Jay Kuo, “Visual Quality Assessment: Recent Developments, Coding Applications and Future Trends,” APSIPA Transactions on Signal and Information Processing, vol.2, no.4, pp.1-20, July 2013.
13. 1. 12.
  2. Tsung-Jung Liu, Weisi Lin, and C.-C. Jay Kuo, “Image quality assessment using multi-method fusion,” IEEE Transactions on Image Processing, vol.22, no.5, pp.1793-1807, May 2013. (SCI、EI)
14. B.研討會論文
15. 1. 1.
  2. Bo-Xun Chen, Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, and Soo-Chang Pei, “mage Super-Resolution Using Complex Dense Block on Generative Adversarial Networks,” IEEE International Conference on Image Processing (ICIP), Taiwan, pp.2866–2870, September 2019. (EI)
16. 1. 2.
  2. Yu-Zhe Su, Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Image Inpainting for Random Areas Using Dense Context Features,” IEEE International Conference on Image Processing (ICIP), Taiwan, pp.4679–4683, September 2019. (EI)
17. 1. 3.
  2. Kuan-Hsien Liu, Pak Ki Chan, Tsung-Jung Liu, and Hsiu-An Her, “Age Estimation for Low-Quality Facial Images: From Separate DCNNs to A Decision Fuser,” IEEE International Conference on Multimedia & Expo Workshops (ICMEW), China, pp.168-173, July 2019. (EI)
18. 1. 4.
  2. Kuan-Hsien Liu, Chun-Te Chang, and Tsung-Jung Liu, “Age Estimation via Modern Convolutional Neural Networks,” IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taiwan, pp.1-2, May 2019.
19. 1. 5.
  2. Kuan-Hsien Liu, Fei Wang, and Tsung-Jung Liu, “A Clothing Recommendation Dataset for Online Shopping,” IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taiwan, pp.1-2, May 2019.
20. 1. 6.
  2. Kuan-Hsien Liu, Tsung-Jung Liu, Chia-Ching Wang, Hsin-Hua Liu, and Soo-Chang Pei,, “Modern Architecture Style Transfer for Ruin or Old Buildings,” IEEE International Symposium on Circuits and Systems (ISCAS), Japan, pp.1-5, May 2019. (EI)
21. 1. 7.
  2. Chia-Ching Wang, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu, and Tsung-Jung Liu, “Face Aging on Realistic Photos by Generative Adversarial Networks,” IEEE International Symposium on Circuits and Systems (ISCAS), Japan, pp.1-5, May 2019. (EI)
22. 1. 8.
  2. Wei-Juen Suen, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu, and Tsung-Jung Liu, “Spatial-Temporal Visual Attention Model for Video Quality Assessment,” IEEE International Symposium on Circuits and Systems (ISCAS), Japan, pp.1-5, May 2019. (EI)
23. 1. 9.
  2. Chia-Ching Wang, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu, and Tsung-Jung Liu, “Modern Architecture Style Transfer for Ruin Buildings,” IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Taiwan, pp.293-294, March 2019. (EI)
24. 1. 10.
  2. Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei, Tsung-Jung Liu, and Chun-Te Chang, “Age Estimation on Low Quality Face Images,” IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Taiwan, pp.295-296, March 2019. (EI)
25. 1. 11.
  2. Kuan-Hsien Liu, Hsin-Hua Liu, Pak Ki Chan, Tsung-Jung Liu, and Soo-Chang Pei, “Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks,” IEEE International Workshop on Information Forensics and Security (WIFS), Hong Kong, pp.1-8, December 2018. (EI)
26. 1. 12.
  2. Kuan-Hsien Liu, Tsung-Jung Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Spatio-Temporal Interactive Laws Feature Correlation Method to Video Quality Assessment,” IEEE International Conference on Multimedia & Expo Workshop (ICMEW), USA, pp.1-6, July 2018. (EI)
27. 1. 13.
  2. Kuan-Hsien Liu, Pak Ki Chan, and Tsung-Jung Liu, “Smart Facial Age Estimation with Stacked Deep Network Fusion,” IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taiwan, pp.455-456, May 2018. (EI)
28. 1. 14.
  2. Ching-Ti Lin, Tsung-Jung Liu, and Kuan-Hsien Liu, “Visual Quality Prediction on Distorted Stereoscopic Images,” IEEE International Conference on Image Processing (ICIP), China, pp.3480-3484, September 2017. (EI)
29. 1. 15.
  2. Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Age Estimation via Fusion of Multiple Binary Age Grouping Systems,” IEEE International Conference on Image Processing (ICIP), USA, pp.609–613, September 2016. (EI)
30. 1. 16.
  2. Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Comparison of subjective viewing test methods for image quality assessment,” IEEE International Conference on Image Processing (ICIP), Canada, pp.3155–3159, September 2015. (EI)
31. 1. 17.
  2. Kuan-Hsien Liu, Tsung-Jung Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Facial makeup detection via selected gradient orientation of entropy information,” IEEE International Conference on Image Processing (ICIP), Canada, pp.4067–4071, September 2015. (EI)
32. 1. 18.
  2. Joe Yuchieh Lin, Tsung-Jung Liu, Eddy Chi-Hao Wu, and C.-C. Jay Kuo, “A fusion-based video quality assessment (FVQA) index,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Cambodia, pp.1-5, December 2014. (EI)
33. 1. 19.
  2. Joe Yuchieh Lin, Tsung-Jung Liu, Weisi Lin, and C.-C. Jay Kuo, “Visual-saliency-enhanced image quality assessment indices,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Taiwan, pp.1-4, October 2013. (EI)
34. 1. 20.
  2. Lina Jin, Seongho Cho, Tsung-Jung Liu, Karen Egiazarian, and C.-C. Jay Kuo, “Performance comparison of decision fusion strategies in BMMF-based image quality assessment,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), USA, pp.1-4, December 2012. (EI)
35. 1. 21.
  2. Tsung-Jung Liu, Weisi Lin, and C.-C. Jay Kuo, “A fusion approach to video quality assessment based on temporal decomposition,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), USA, pp.1-5, December 2012. (EI)
36. 1. 22.
  2. Tsung-Jung Liu, Weisi Lin, and C.-C. Jay Kuo, “A multi-metric fusion approach to visual quality assessment,” IEEE the 3rd International Workshop on Quality of Multimedia Experience (QoMEX), Belgium, pp.72-77, September 2011. (EI)
37. 1. 23.
  2. Tsung-Jung Liu, Weisi Lin, and C.-C. Jay Kuo, “Recent Developments and Future Trends in Visual Quality Assessment,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), China, pp.1-10, January 2011. (EI)
38. 1. 24.
  2. Soo-Chang Pei, Hsin-Hua Liu, Tsung-Jung Liu, and Kuan-Hsien Liu, “Color image watermarking using SVD,” IEEE International Conference on Multimedia & Expo (ICME), Singapore, pp.122-126, July 2010. (EI)
39. 1. 25.
  2. Kuan-Hsien Liu, Tsung-Jung Liu, and Hsin-Hua Liu, “A SIFT descriptor based method for global disparity vector estimation in multiview video coding,” IEEE International Conference on Multimedia & Expo (ICME), Singapore, pp.1214-1218, July 2010. (EI)
40. 1. 26.
  2. Tsung-Jung Liu, Kuan-Hsien Liu, and Hsin-Hua Liu, “Temporal information assisted video quality metric for multimedia,” IEEE International Conference on Multimedia & Expo (ICME), Singapore, pp.697-701, July 2010. (EI)