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Journal papers
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.
Tsung-Jung Liu, Kuan-Hsien Liu, and Kuan-Hung Shen. "Learning Based No-reference Metric for Assessing Quality of Experience of Stereoscopic Images." Journal of Visual Communication and Image Representation, vol. 61, pp. 272-283, May 2019.
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 6: 45427-45438, 2018.
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.
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.
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.
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.
Kuan-Hsien Liu, Shuicheng Yan, and C.-C. Jay Kuo, “Age Estimation via Grouping and Decision Fusion,” IEEE Transactions on Information Forensics and Security, vol. 10, no. 11, pp. 2408-2423, July 2015.
Conference papers
Li-Chi Lan, Tsung-Jung Liu, and Kuan-Hsien Liu, “GAD: A Global Attraction Dataset and Attraction Classification Based on Residual Dense Convolutional Neural Networks,” in Proc. 39th IEEE International Conference on Consumer Electronics (IEEE ICCE 2021) , January 2021. (EI)
Kuan-Hsien Liu, Yu-Chen Lai, and Tsung-Jung Liu, “GAD: A Global Attraction Dataset and Attraction Classification Based on Residual Dense Convolutional Neural Networks,” in Proc. 39th IEEE International Conference on Consumer Electronics (IEEE ICCE 2021) , January 2021. (EI)
Kuan-Hsien Liu, Tsung-Jung Liu, and Fei Wang, “CBP: a Clothing Brand Logo Dataset and a New Method for Clothing Brand Recognition,” in 2020 28th European Signal Processing Conference (EUSIPCO 2020) , January 2021. (EI)
Zheng-Lung Chu, Tsung-Jung Liu, and Kuan-Hsien Liu, “No-Reference Video Quality Assessment by a Cascade Combination of Neural Networks and Regression Model,” in Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), October 2020. (EI)
Kuan-Hsien Liu, Tsung-Jung Liu, and Fei Wamg, “Clothing Brand Logo Prediction: from Residual Block to Dense Block,” in Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), October 2020. (EI)
Keng-Chih Chang, Tsung-Jung Liu, Kuan-Hsien Liu, and Day-Yu Chao, “Locating Waterfowl Farms from Satellite Images with Parallel Residual U-Net Architecture,” in Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), October 2020. (EI)
Kai-Yu Wen, Tsung-Jung Liu, Kuan-Hsien Liu, and Day-Yu Chao, “Identifying Poultry Farms from Satellite Images with Residual Dense U-Net,” in Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), October 2020. (EI)
Kuan-Hsien Liu, Fei Wang, Tsung-Jung Liu, and Guan-Hong Chen, “Clothing Brand Prediction via Logo Recognition,” 2020 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), September 2020. (EI)
Zheng-Lung Chu, Tsung-Jung Liu, and Kuan-Hsien Liu, “No-Reference Video Quality Assessment by Multilayer Selected Deep Features and Neural Networks,” 2020 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), September 2020. (EI)
Kuan-Hsien Liu, Guan-Hong Chen, and Tsung-Jung Liu, “CBP: A New Large-Scale Clothing Dataset with Brand and Price Information and a New Method for Clothing Brand Recognition,” in Proc. CVGIP 2020, August 2020.
Kai-Yu Wen, Tsung-Jung Liu, and Kuan-Hsien Liu, “Identifying Poultry Farms from Satellite Images with Residual Dense U-Net,” in Proc. CVGIP 2020, August 2020.
Kuan-Hsien Liu, Chun-Te Chang, and Tsung-Jung Liu, “Age Estimation by Learning Label Distribution CNN,” in Proc. CVGIP 2020, August 2020.
Zheng-Lung Chu, Tsung-Jung Liu, and Kuan-Hsien Liu, “No-Reference Video Quality Assessment by a Cascade Combination of Neural Networks and Regression Model,” in Proc. CVGIP 2020, August 2020.
Keng-Chih Chang, Tsung-Jung Liu, and Kuan-Hsien Liu, “Locating Waterfowl Farms from Satellite Images with Parallel Residual U-Net Architecture,” in Proc. CVGIP 2020, August 2020.
Bo-Xun Chen, Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Image Super-Resolution Using Complex Dense Block on Generative Adversarial Networks,” in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2019. (EI)
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,” in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2019. (EI)
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,” in Proc. IEEE International Conference on Multimedia & Expo (ICME) Workshop, July 2019. (EI)
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,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2019), May 2019. (EI)
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,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2019), May 2019. (EI)
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,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2019), May 2019. (EI)
Kuan-Hsien Liu, Fei Wang, and Tsung-Jung Liu, “A Clothing Recommendation Dataset for Online Shopping,” 2019 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taiwan, May 2019. (EI)
Kuan-Hsien Liu, Chun-Te Chang, and Tsung-Jung Liu, “Age Estimation via Modern Convolutional Neural Networks,” 2019 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taiwan, May 2019. (EI)
Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei, Tsung-Jung Liu, and Chun-Te Chang, “Age Estimation on Low Quality Face Images,” in Proc. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), March 2019.
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,” in Proc. IEEE International Workshop on Information Forensics and Security (WIFS), December 2018. (EI)
Kuan-Hsien Liu, Tsung-Jung Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Spatio-temporal interactive laws feature correlation method to video quality assessment,” in Proc. IEEE International Conference on Multimedia & Expo (ICME) Workshop, July 2018. (EI)
Kuan-Hsien Liu, Pak Ki Chan, and Tsung-Jung Liu, “Smart Facial Age Estimation with Stacked Deep Network Fusion,” 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taiwan, pp.455-456, May 2018. (EI)
Ching-Ti Lin, Tsung-Jung Liu, and Kuan-Hsien Liu, “Visual quality prediction on distorted stereoscopic images,” in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2017. (EI)
Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Age estimation via fusion of multiple binary age grouping systems,” in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2016. (EI)
Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Are correlation coefficients reliable performance indices for visual quality assessment?” in Proc. CVGIP 2016, August 2016. (EI)
Kuan-Hsien Liu, Ting-Yen Chen, and Chu-Song Chen, “MVC: a dataset for view-Invariant clothing retrieval and attribute prediction,” in Proc. ACM International Conference on Multimedia Retrieval (ICMR), June 2016. (EI)
Kuan-Hsien Liu, Tsung-Jung Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Facial makeup detection via selected gradient orientation of entropy information,” in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2015. (EI)
Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, and Soo-Chang Pei, “Comparison of subjective viewing test methods for image quality assessment,” in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2015. (EI)
Kevin Lin, Huei-Fang Yang, Kuan-Hsien Liu, Jen-Hao Hsiao, and Chu-Song Chen, “Rapid clothing retrieval via deep learning of binary codes and hierarchical search,” in Proc. ACM International Conference on Multimedia Retrieval (ICMR), June 2015. (EI)
Kuan-Hsien Liu, Shuicheng Yan, and C.-C. Jay. Kuo, “Age group classification via structured fusion of uncertainty-driven shape features and selected surface features,” in Proc. IEEE Conference on Winter Applications of Computer Vision (WACV), March 2014. (EI)
Kuan-Hsien Liu, Pei-Ying Chiang, and C.-C. Jay Kuo, “A machine learning approach to 3D model retrieval,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Oct. 2011. (EI)
Kuan-Hsien Liu, Tsung-Jung Liu, and Hsin-Hua Liu, “A SIFT descriptor based method for global disparity vector estimation in multiview video coding,” in Proc. IEEE International Conference on Multimedia & Expo (ICME), July 2010. (EI)
Tsung-Jung Liu, Kuan-Hsien Liu, and Hsin-Hua Liu, “Temporal information assisted video quality metric for multimedia,” in Proc. IEEE International Conference on Multimedia & Expo (ICME), July 2010. (EI)
Soo-Chang Pei, Hsin-Hua Liu, Tsung-Jung Liu, and Kuan-Hsien Liu, “Color image watermarking using SVD,” in Proc. IEEE International Conference on Multimedia & Expo (ICME), July 2010. (EI)
Dissertation/Thesis
[Ph.D. Dissertation] Kuan-Hsien Liu, “Facial Age Grouping and Estimation via Ensemble Learning”, Ph.D. Dissertation, University of Southern California, August 2014.
[M.S. Thesis] Kuan-Hsien Liu, “Pilot-Based Channel Estimation Techniques for OFDM Systems”, M.S. Thesis, National Taiwan University, July 2001.