Temporal information assisted video quality metric for multimedia. - Tsung-Jung Liu; Kuan-Hsien Liu; Hsin-Hua Liu (ICME, 2010)

A SIFT descriptor based method for global disparity vector estimation in multiview video coding. - Kuan-Hsien Liu; Tsung-Jung Liu; Hsin-Hua Liu (ICME, 2010)

Color image watermarking using SVD. - Soo-Chang Pei; Hsin-Hua Liu; Tsung-Jung Liu; Kuan-Hsien Liu (ICME, 2010)

A multi-metric fusion approach to visual quality assessment. - Tsung-Jung Liu; Weisi Lin; C.-C. Jay Kuo (QoMEX, 2011)

Performance comparison of decision fusion strategies in BMMF-based image quality assessment. - Lina Jin; Seongho Cho; Tsung-Jung Liu; Karen O. Egiazarian; C.-C. Jay Kuo (APSIPA, 2012)

A fusion approach to video quality assessment based on temporal decomposition. - Tsung-Jung Liu; Weisi Lin; C.-C. Jay Kuo (APSIPA, 2012)

Visual-saliency-enhanced image quality assessment indices. - Joe Yuchieh Lin; Tsung-Jung Liu; Weisi Lin; C.-C. Jay Kuo (APSIPA, 2013)

Image Quality Assessment Using Multi-Method Fusion. - Tsung-Jung Liu; Weisi Lin; C.-C. Jay Kuo (IEEE Trans. Image Process., 2013)

A fusion-based video quality assessment (fvqa) index. - Joe Yuchieh Lin; Tsung-Jung Liu; Eddy Chi-Hao Wu; C.-C. Jay Kuo (APSIPA, 2014)

Comparison of subjective viewing test methods for image quality assessment. - Tsung-Jung Liu; Kuan-Hsien Liu; Hsin-Hua Liu; Soo-Chang Pei (ICIP, 2015)

Facial makeup detection via selected gradient orientation of entropy information. - Kuan-Hsien Liu; Tsung-Jung Liu; Hsin-Hua Liu; Soo-Chang Pei (ICIP, 2015)

MCL-V: A streaming video quality assessment database. - Joe Yuchieh Lin; Rui Song 003; Eddy Chi-Hao Wu; Tsung-Jung Liu; Haiqiang Wang; C.-C. Jay Kuo (J. Vis. Commun. Image Represent., 2015)

Age estimation via fusion of multiple binary age grouping systems. - Tsung-Jung Liu; Kuan-Hsien Liu; Hsin-Hua Liu; Soo-Chang Pei (ICIP, 2016)

Visual quality prediction on distorted stereoscopic images. - Ching-Ti Lin; Tsung-Jung Liu; Kuan-Hsien Liu (ICIP, 2017)

A ParaBoost Method to Image Quality Assessment. - Tsung-Jung Liu; Kuan-Hsien Liu; Joe Yuchieh Lin; Weisi Lin; C.-C. Jay Kuo (IEEE Trans. Neural Networks Learn. Syst., 2017)

Spatio-Temporal Interactive Laws Feature Correlation Method to Video Quality Assessment. - Kuan-Hsien Liu; Tsung-Jung Liu; Hsin-Hua Liu; Soo-Chang Pei (ICME Workshops, 2018)

Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks. - Kuan-Hsien Liu; Hsin-Hua Liu; Pak Ki Chan; Tsung-Jung Liu; Soo-Chang Pei (WIFS, 2018)

Study of Visual Quality Assessment on Pattern Images: Subjective Evaluation and Visual Saliency Effects. - Tsung-Jung Liu (IEEE Access, 2018)

A High-Definition Diversity-Scene Database for Image Quality Assessment. - Tsung-Jung Liu; Hsin-Hua Liu; Soo-Chang Pei; Kuan-Hsien Liu (IEEE Access, 2018)

No-Reference Image Quality Assessment by Wide-Perceptual-Domain Scorer Ensemble Method. - Tsung-Jung Liu; Kuan-Hsien Liu (IEEE Trans. Image Process., 2018)

Age Estimation on Low Quality Face Images. - Kuan-Hsien Liu; Hsin-Hua Liu; Soo-Chang Pei; Tsung-Jung Liu; Chun-Te Chang (AICAS, 2019)

Modern Architecture Style Transfer for Ruin Buildings. - Chia-Ching Wang; Hsin-Hua Liu; Soo-Chang Pei; Kuan-Hsien Liu; Tsung-Jung Liu (AICAS, 2019)

Age Estimation via Modern Convolutional Neural Networks. - Kuan-Hsien Liu; Chun-Te Chang; Tsung-Jung Liu (ICCE-TW, 2019)

A Clothing Recommendation Dataset for Online Shopping. - Kuan-Hsien Liu; Fei Wang; Tsung-Jung Liu (ICCE-TW, 2019)

Image Super-Resolution Using Complex Dense Block on Generative Adversarial Networks. - Bo-Xun Chen; Tsung-Jung Liu; Kuan-Hsien Liu; Hsin-Hua Liu; Soo-Chang Pei (ICIP, 2019)

Image Inpainting For Random Areas Using Dense Context Features. - Yu-Zhe Su; Tsung-Jung Liu; Kuan-Hsien Liu; Hsin-Hua Liu; Soo-Chang Pei (ICIP, 2019)

Age Estimation for Low-Quality Facial Images: from Separate DCNNs to a Decision Fuser. - Kuan-Hsien Liu; Pak Ki Chan; Tsung-Jung Liu; Hsiu-An Her (ICME Workshops, 2019)

Modern Architecture Style Transfer for Ruin or Old Buildings. - Kuan-Hsien Liu; Tsung-Jung Liu; Chia-Ching Wang; Hsin-Hua Liu; Soo-Chang Pei (ISCAS, 2019)

Spatial-Temporal Visual Attention Model for Video Quality Assessment. - Wei-Juen Suen; Hsin-Hua Liu; Soo-Chang Pei; Kuan-Hsien Liu; Tsung-Jung Liu (ISCAS, 2019)

Face Aging on Realistic Photos by Generative Adversarial Networks. - Chia-Ching Wang; Hsin-Hua Liu; Soo-Chang Pei; Kuan-Hsien Liu; Tsung-Jung Liu (ISCAS, 2019)

Blind Stereoscopic Image Quality Assessment Based on Hierarchical Learning. - Tsung-Jung Liu; Ching-Ti Lin; Hsin-Hua Liu; Soo-Chang Pei (IEEE Access, 2019)

Learning based no-reference metric for assessing quality of experience of stereoscopic images. - Tsung-Jung Liu; Kuan-Hsien Liu; Kuan-Hung Shen (J. Vis. Commun. Image Represent., 2019)

A Structure-Based Human Facial Age Estimation Framework Under a Constrained Condition. - Kuan-Hsien Liu; Tsung-Jung Liu (IEEE Trans. Image Process., 2019)

CBL: A Clothing Brand Logo Dataset and a New Method for Clothing Brand Recognition. - Kuan-Hsien Liu; Tsung-Jung Liu; Fei Wang (EUSIPCO, 2020)

No-Reference Video Quality Assessment by Multilayer Selected Deep Features and Neural Networks. - Zheng-Lung Chu; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE-TW, 2020)

Clothing Brand Prediction via Logo Recognition. - Kuan-Hsien Liu; Fei Wang; Tsung-Jung Liu; Guan-Hong Chen (ICCE-TW, 2020)

Locating Waterfowl Farms from Satellite Images with Parallel Residual U-Net Architecture. - Keng-Chih Chang; Tsung-Jung Liu; Kuan-Hsien Liu; Day-Yu Chao (SMC, 2020)

No-Reference Video Quality Assessment by A Cascade Combination of Neural Networks and Regression Model. - Zheng-Lung Chu; Tsung-Jung Liu; Kuan-Hsien Liu (SMC, 2020)

Clothing Brand Logo Prediction: From Residual Block to Dense Block. - Kuan-Hsien Liu; Tsung-Jung Liu; Fei Wang (SMC, 2020)

Identifying Poultry Farms from Satellite Images with Residual Dense U-Net. - Kai-Yu Wen; Tsung-Jung Liu; Kuan-Hsien Liu; Day-Yu Chao (SMC, 2020)

Facial Age Estimation by Learning Label Distribution CNN. - Kuan-Hsien Liu; Chun-Te Chang; Tsung-Jung Liu (ICCE-TW, 2021)

WBTP-VTON: Whole Body and Texture Preservation based Virtual Try-On Network. - Huang-Wei Shen; Tsung-Jung Liu; Chi-Mao Fan; Kuan-Hsien Liu (ICCE-TW, 2021)

Age Progression/Regression by Dual Discriminator Adversarial Autoencoder. - Li-Chi Lan; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE, 2021)

GAD: A Global Attraction Dataset and Attraction Classification Based on Residual Dense Convolutional Neural Networks. - Kuan-Hsien Liu; Yu-Chen Lai; Tsung-Jung Liu (ICCE, 2021)

Age Regression with Specific Facial Landmarks by Dual Discriminator Adversarial Autoencoder. - Li-Chi Lan; Tsung-Jung Liu; Kuan-Hsien Liu (ICIP, 2021)

Mix Attention Based Convolutional Neural Network for Clothing Brand Logo Recognition and Classification. - Kuan-Hsien Liu; Guan-Hong Chen; Tsung-Jung Liu (SMC, 2021)

Selective Residual M-Net for Real Image Denoising. - Chi-Mao Fan; Tsung-Jung Liu; Kuan-Hsien Liu; Ching-Hsiang Chiu (EUSIPCO, 2022)

Super-Resolution of Satellite Images by two-Dimensional RRDB and Edge-Enhancement Generative Adversarial Network. - Yu-Zhang Chen; Tsung-Jung Liu; Kuan-Hsien Liu (ICASSP, 2022)

Improved Hierarchical M-Net+ for Blind Image Denoising. - Chi-Mao Fan; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE-TW, 2022)

Image Inpainting in Frequency Domain with Wavelet Convolution. - Jain-Kai Huang; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE-TW, 2022)

Improved Small Object Detection for Road Driving based on YOLO-R. - Yu-Fang Huang; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE-TW, 2022)

Unsupervised UNet for Fabric Defect Detection. - Kuan-Hsien Liu; Song-Jie Chen; Tsung-Jung Liu (ICCE-TW, 2022)

Clothing Recommendation Based on Deep Learning. - Kuan-Hsien Liu; Hui-Ling Chuang; Tsung-Jung Liu (ICCE-TW, 2022)

Wavelet Frequency Channel Attention on Remote Sensing Image Segmentation. - Yu-Chen Su; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE-TW, 2022)

Super-Resolution of Satellite Images Based on Two-Dimensional RRDB and Edge-Enhanced Generative Adversarial Network. - Yu-Zhang Chen; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE, 2022)

Image Generation by Residual Block Based Generative Adversarial Networks. - Kuan-Hsien Liu; Chien-Cheng Lin; Tsung-Jung Liu (ICCE, 2022)

Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement. - Chi-Mao Fan; Tsung-Jung Liu; Kuan-Hsien Liu (ICIP, 2022)

Fabric Defect Detection VIA Unsupervised Neural Networks. - Kuan-Hsien Liu; Song-Jie Chen; Ching-Hsiang Chiu; Tsung-Jung Liu (ICME Workshops, 2022)

SUNet: Swin Transformer UNet for Image Denoising. - Chi-Mao Fan; Tsung-Jung Liu; Kuan-Hsien Liu (ISCAS, 2022)

Multi-scale Wavelet Frequency Channel Attention for Remote Sensing Image Segmentation. - Yu-Chen Su; Tsung-Jung Liu; Kuan-Hsien Liu (IVMSP, 2022)

Fusion of Triple Attention to Residual in Residual Dense Block to Attention Based CNN for Facial Expression Recognition. - Kuan-Hsien Liu; Ching-Hsiang Chiu; Tsung-Jung Liu (SMC, 2022)

Clothing Retrieval from Vision Transformer and Class Aware Attention to Deep Embedding Distance Learning. - Kuan-Hsien Liu; Yu-Hsiang Wu; Tsung-Jung Liu (SMC, 2022)

Clothing Retrieval from Channel Attention to KN Loss Learning. - Kuan-Hsien Liu; Yu-Hsiang Wu; Tsung-Jung Liu (VCIP, 2022)

Selective Residual M-Net for Real Image Denoising. - Chi-Mao Fan; Tsung-Jung Liu; Kuan-Hsien Liu (CoRR, 2022)

Compound Multi-branch Feature Fusion for Real Image Restoration. - Chi-Mao Fan; Tsung-Jung Liu; Kuan-Hsien Liu (CoRR, 2022)

SOAda-YOLOR: Small Object Adaptive YOLOR Algorithm for Road Object Detection. - Yu-Fang Huang; Tsung-Jung Liu; Chun-An Lin; Kuan-Hsien Liu (APSIPA ASC, 2023)

Image Inpainting Using MSCSWin Transformer and Color Correction. - Bo-Wei Chen; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE-Taiwan, 2023)

Adaptive Scale Selection Network for Crowd Counting. - Ting-Hsu Lai; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE-Taiwan, 2023)

MADnet: a Multiple Attention Decoder Network for Segmentation of Remote Sensing Images. - Kuan-Hsien Liu; Bo-Yen Lin; Tsung-Jung Liu (ICCE-Taiwan, 2023)

Facial Expression Recognition in the Wild from Attention to Vision Transformer based CNNs. - Kuan-Hsien Liu; Xiang-Kun Shih; Tsung-Jung Liu (ICCE-Taiwan, 2023)

Image Inpainting by Mscswin Transformer Adversarial Autoencoder. - Bo-Wei Chen; Tsung-Jung Liu; Kuan-Hsien Liu (ICIP, 2023)

Compound Multi-Branch Feature Fusion for Image Deraindrop. - Chi-Mao Fan; Tsung-Jung Liu; Kuan-Hsien Liu (ICIP, 2023)

Lightweight Image Inpainting By Stripe Window Transformer With Joint Attention To CNN. - Bo-Wei Chen; Tsung-Jung Liu; Kuan-Hsien Liu (MLSP, 2023)

Scale Selection Network with Attention Mechanism for Crowd Counting. - Ting-Hsu Lai; Tsung-Jung Liu; Kuan-Hsien Liu (MLSP, 2023)

Facial Expression Recognition in the Wild Using FAM, RRDB and Vision Transformer Based Convolutional Neural Networks. - Kuan-Hsien Liu; Xiang-Kun Shih; Tsung-Jung Liu; Wen-Ren Liu (SMC, 2023)

A Novel Nighttime Close-up and Far-away Reflection Dataset with Absorption Effects. - U.-In Chan; Tsung-Jung Liu; Kuan-Hsien Liu; Chun-An Lin (ICCE-Taiwan, 2024)

Micro-Expression Recognition by 3D-CNN in Combination with GRU. - Chun-Ting Fang; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE-Taiwan, 2024)

Facial Age Synthesis by StyleGAN2 with Attention. - Tung-Ke Hsieh; Tsung-Jung Liu; Kuan-Hsien Liu (ICCE-Taiwan, 2024)

Infrared Image Super-Resolution with Multi-Domain Attention and Spatial-Frequency Processing. - Chun-An Lin; Yu-Chia Chang; Tsung-Jung Liu (ICCE-Taiwan, 2024)

Multiple Attention to Weight Fusion based Network for in-the-Wild Facial Expression Recognition. - Kuan-Hsien Liu; Wen-Ren Liu; Tsung-Jung Liu; Wei-Shen Tai (ICCE-Taiwan, 2024)

StockQM: A Cross-Frequency Dataset for Stock Prediction and a New Stock Prediction Model. - Kuan-Hsien Liu; Yu-Shiang Lin; Tsung-Jung Liu; Wei-Shen Tai (ICCE-Taiwan, 2024)

Micro-Expression Recognition Based On 3DCNN Combined With GRU and New Attention Mechanism. - Chun-Ting Fang; Tsung-Jung Liu; Kuan-Hsien Liu (ICIP, 2024)

LIRSRN: A Lightweight Infrared Image Super-Resolution Network. - Chun-An Lin; Tsung-Jung Liu; Kuan-Hsien Liu (ISCAS, 2024)

RDLNET: Residual Dense Block based Lightweight Network for Video Super-Resolution. - Kuan-Hsien Liu; Chih-Jung Wang; Tsung-Jung Liu; Wen-Ren Liu (ISCAS, 2024)

Enhanced Feature Extraction and Attention Mechanisms for Micro-Expression Recognition. - Chun-Ting Fang; Tsung-Jung Liu; Kuan-Hsien Liu (MLSP, 2024)

SWP: A Stage-Weighted Pooling Based Convolutional Neural Networks for Facial Expression Recognition in the Wild. - Kuan-Hsien Liu; Wen-Ren Liu; Tsung-Jung Liu (MLSP, 2024)

AgeSynthGAN: Advanced Facial Age Synthesis with StyleGAN2. - Tung-Ke Hsieh; Tsung-Jung Liu; Kuan-Hsien Liu (VCIP, 2024)

Face Aging Synthesis by Deep Cycle Generative Adversarial Networks and Bias Loss. - Tsung-Jung Liu; Chia-Ching Wang (IEEE Access, 2024)