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2020 – today
- 2024
[c67]Chun-An Lin, Tsung-Jung Liu
, Kuan-Hsien Liu:
LIRSRN: A Lightweight Infrared Image Super-Resolution Network. ISCAS 2024: 1-5- [c66]Kuan-Hsien Liu, Chih-Jung Wang, Tsung-Jung Liu, Wen-Ren Liu:
RDLNET: Residual Dense Block based Lightweight Network for Video Super-Resolution. ISCAS 2024: 1-5 - 2023
- [c65]Yu-Fang Huang, Tsung-Jung Liu, Chun-An Lin, Kuan-Hsien Liu:
SOAda-YOLOR: Small Object Adaptive YOLOR Algorithm for Road Object Detection. APSIPA ASC 2023: 1652-1658 - [c64]Bo-Wei Chen, Tsung-Jung Liu, Kuan-Hsien Liu:
Image Inpainting Using MSCSWin Transformer and Color Correction. ICCE-Taiwan 2023: 447-448 - [c63]Ting-Hsu Lai, Tsung-Jung Liu, Kuan-Hsien Liu:
Adaptive Scale Selection Network for Crowd Counting. ICCE-Taiwan 2023: 833-834 - [c62]Kuan-Hsien Liu, Bo-Yen Lin, Tsung-Jung Liu:
MADnet: a Multiple Attention Decoder Network for Segmentation of Remote Sensing Images. ICCE-Taiwan 2023: 835-836 - [c61]Kuan-Hsien Liu, Xiang-Kun Shih, Tsung-Jung Liu:
Facial Expression Recognition in the Wild from Attention to Vision Transformer based CNNs. ICCE-Taiwan 2023: 837-838 - [c60]Bo-Wei Chen, Tsung-Jung Liu, Kuan-Hsien Liu:
Image Inpainting by Mscswin Transformer Adversarial Autoencoder. ICIP 2023: 2040-2044 - [c59]Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu:
Compound Multi-Branch Feature Fusion for Image Deraindrop. ICIP 2023: 3399-3403 - [c58]Bo-Wei Chen, Tsung-Jung Liu, Kuan-Hsien Liu:
Lightweight Image Inpainting By Stripe Window Transformer With Joint Attention To CNN. MLSP 2023: 1-6 - [c57]Ting-Hsu Lai, Tsung-Jung Liu, Kuan-Hsien Liu:
Scale Selection Network with Attention Mechanism for Crowd Counting. MLSP 2023: 1-6 - [c56]Kuan-Hsien Liu, Xiang-Kun Shih, Tsung-Jung Liu, Wen-Ren Liu:
Facial Expression Recognition in the Wild Using FAM, RRDB and Vision Transformer Based Convolutional Neural Networks. SMC 2023: 4064-4069 - 2022
- [c55]Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu, Ching-Hsiang Chiu:
Selective Residual M-Net for Real Image Denoising. EUSIPCO 2022: 469-473 - [c54]Yu-Zhang Chen, Tsung-Jung Liu, Kuan-Hsien Liu:
Super-Resolution of Satellite Images by two-Dimensional RRDB and Edge-Enhancement Generative Adversarial Network. ICASSP 2022: 1825-1829 - [c53]Kuan-Hsien Liu, Song-Jie Chen, Tsung-Jung Liu:
Unsupervised UNet for Fabric Defect Detection. ICCE-TW 2022: 205-206 - [c52]Jain-Kai Huang, Tsung-Jung Liu, Kuan-Hsien Liu:
Image Inpainting in Frequency Domain with Wavelet Convolution. ICCE-TW 2022: 277-278 - [c51]Yu-Fang Huang, Tsung-Jung Liu, Kuan-Hsien Liu:
Improved Small Object Detection for Road Driving based on YOLO-R. ICCE-TW 2022: 279-280 - [c50]Kuan-Hsien Liu, Hui-Ling Chuang, Tsung-Jung Liu:
Clothing Recommendation Based on Deep Learning. ICCE-TW 2022: 281-282 - [c49]Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu:
Improved Hierarchical M-Net+ for Blind Image Denoising. ICCE-TW 2022: 283-284 - [c48]Yu-Chen Su, Tsung-Jung Liu, Kuan-Hsien Liu:
Wavelet Frequency Channel Attention on Remote Sensing Image Segmentation. ICCE-TW 2022: 285-286 - [c47]Yu-Zhang Chen, Tsung-Jung Liu, Kuan-Hsien Liu:
Super-Resolution of Satellite Images Based on Two-Dimensional RRDB and Edge-Enhanced Generative Adversarial Network. ICCE 2022: 1-4 - [c46]Kuan-Hsien Liu, Chien-Cheng Lin, Tsung-Jung Liu:
Image Generation by Residual Block Based Generative Adversarial Networks. ICCE 2022: 1-4 - [c45]Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu:
Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement. ICIP 2022: 3878-3882 - [c44]Kuan-Hsien Liu, Song-Jie Chen, Ching-Hsiang Chiu, Tsung-Jung Liu:
Fabric Defect Detection VIA Unsupervised Neural Networks. ICME Workshops 2022: 1-6 - [c43]Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu:
SUNet: Swin Transformer UNet for Image Denoising. ISCAS 2022: 2333-2337 - [c42]Yu-Chen Su, Tsung-Jung Liu, Kuan-Hsien Liu:
Multi-scale Wavelet Frequency Channel Attention for Remote Sensing Image Segmentation. IVMSP 2022: 1-5 - [c41]Kuan-Hsien Liu, Ching-Hsiang Chiu, Tsung-Jung Liu:
Fusion of Triple Attention to Residual in Residual Dense Block to Attention Based CNN for Facial Expression Recognition. SMC 2022: 1045-1050 - [c40]Kuan-Hsien Liu, Yu-Hsiang Wu, Tsung-Jung Liu:
Clothing Retrieval from Vision Transformer and Class Aware Attention to Deep Embedding Distance Learning. SMC 2022: 2378-2383 - [c39]Jain-Kai Huang, Tsung-Jung Liu, Kuan-Hsien Liu:
Image Inpainting with Frequency Domain Wavelet Convolution. VCIP 2022: 1-5 - [c38]Kuan-Hsien Liu, Yu-Hsiang Wu, Tsung-Jung Liu:
Clothing Retrieval from Channel Attention to KN Loss Learning. VCIP 2022: 1-5 - [i4]Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu:
SUNet: Swin Transformer UNet for Image Denoising. CoRR abs/2202.14009 (2022) - [i3]Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu:
Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement. CoRR abs/2203.01296 (2022) - [i2]Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu:
Selective Residual M-Net for Real Image Denoising. CoRR abs/2203.01645 (2022) - [i1]Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu:
Compound Multi-branch Feature Fusion for Real Image Restoration. CoRR abs/2206.02748 (2022) - 2021
- [c37]Kuan-Hsien Liu, Chun-Te Chang, Tsung-Jung Liu:
Facial Age Estimation by Learning Label Distribution CNN. ICCE-TW 2021: 1-2 - [c36]Huang-Wei Shen, Tsung-Jung Liu, Chi-Mao Fan, Kuan-Hsien Liu:
WBTP-VTON: Whole Body and Texture Preservation based Virtual Try-On Network. ICCE-TW 2021: 1-2 - [c35]Li-Chi Lan, Tsung-Jung Liu, Kuan-Hsien Liu:
Age Progression/Regression by Dual Discriminator Adversarial Autoencoder. ICCE 2021: 1-4 - [c34]Kuan-Hsien Liu, Yu-Chen Lai, Tsung-Jung Liu:
GAD: A Global Attraction Dataset and Attraction Classification Based on Residual Dense Convolutional Neural Networks. ICCE 2021: 1-6 - [c33]Li-Chi Lan, Tsung-Jung Liu, Kuan-Hsien Liu:
Age Regression with Specific Facial Landmarks by Dual Discriminator Adversarial Autoencoder. ICIP 2021: 2718-2722 - [c32]Kuan-Hsien Liu, Guan-Hong Chen, Tsung-Jung Liu:
Mix Attention Based Convolutional Neural Network for Clothing Brand Logo Recognition and Classification. SMC 2021: 3013-3018 - 2020
- [c31]Kuan-Hsien Liu, Tsung-Jung Liu, Fei Wang:
CBL: A Clothing Brand Logo Dataset and a New Method for Clothing Brand Recognition. EUSIPCO 2020: 655-659 - [c30]Zheng-Lung Chu, Tsung-Jung Liu, Kuan-Hsien Liu:
No-Reference Video Quality Assessment by Multilayer Selected Deep Features and Neural Networks. ICCE-TW 2020: 1-2 - [c29]Kuan-Hsien Liu, Fei Wang, Tsung-Jung Liu, Guan-Hong Chen:
Clothing Brand Prediction via Logo Recognition. ICCE-TW 2020: 1-2 - [c28]Kai-Yu Wen, Tsung-Jung Liu, Kuan-Hsien Liu, Day-Yu Chao:
Identifying Poultry Farms from Satellite Images with Residual Dense U-Net. SMC 2020: 102-107 - [c27]Keng-Chih Chang, Tsung-Jung Liu, Kuan-Hsien Liu, Day-Yu Chao:
Locating Waterfowl Farms from Satellite Images with Parallel Residual U-Net Architecture. SMC 2020: 114-119 - [c26]Kuan-Hsien Liu, Tsung-Jung Liu, Fei Wang:
Clothing Brand Logo Prediction: From Residual Block to Dense Block. SMC 2020: 1665-1670 - [c25]Zheng-Lung Chu, Tsung-Jung Liu, Kuan-Hsien Liu:
No-Reference Video Quality Assessment by A Cascade Combination of Neural Networks and Regression Model. SMC 2020: 4116-4121
2010 – 2019
- 2019
- [j9]Tsung-Jung Liu, Ching-Ti Lin, Hsin-Hua Liu, Soo-Chang Pei:
Blind Stereoscopic Image Quality Assessment Based on Hierarchical Learning. IEEE Access 7: 8058-8069 (2019) - [j8]Tsung-Jung Liu, Kuan-Hsien Liu, Kuan-Hung Shen:
Learning based no-reference metric for assessing quality of experience of stereoscopic images. J. Vis. Commun. Image Represent. 61: 272-283 (2019) - [j7]Kuan-Hsien Liu, Tsung-Jung Liu:
A Structure-Based Human Facial Age Estimation Framework Under a Constrained Condition. IEEE Trans. Image Process. 28(10): 5187-5200 (2019) - [c24]Chia-Ching Wang, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu, Tsung-Jung Liu:
Modern Architecture Style Transfer for Ruin Buildings. AICAS 2019: 293-294 - [c23]Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei, Tsung-Jung Liu, Chun-Te Chang:
Age Estimation on Low Quality Face Images. AICAS 2019: 295-296 - [c22]Kuan-Hsien Liu, Chun-Te Chang, Tsung-Jung Liu:
Age Estimation via Modern Convolutional Neural Networks. ICCE-TW 2019: 1-2 - [c21]Kuan-Hsien Liu, Fei Wang, Tsung-Jung Liu:
A Clothing Recommendation Dataset for Online Shopping. ICCE-TW 2019: 1-2 - [c20]Bo-Xun Chen, Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei:
Image Super-Resolution Using Complex Dense Block on Generative Adversarial Networks. ICIP 2019: 2866-2870 - [c19]Yu-Zhe Su, Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei:
Image Inpainting For Random Areas Using Dense Context Features. ICIP 2019: 4679-4683 - [c18]Kuan-Hsien Liu, Pak Ki Chan, Tsung-Jung Liu, Hsiu-An Her:
Age Estimation for Low-Quality Facial Images: from Separate DCNNs to a Decision Fuser. ICME Workshops 2019: 168-173 - [c17]Kuan-Hsien Liu, Tsung-Jung Liu, Chia-Ching Wang, Hsin-Hua Liu, Soo-Chang Pei:
Modern Architecture Style Transfer for Ruin or Old Buildings. ISCAS 2019: 1-5 - [c16]Wei-Juen Suen, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu, Tsung-Jung Liu:
Spatial-Temporal Visual Attention Model for Video Quality Assessment. ISCAS 2019: 1-5 - [c15]Chia-Ching Wang, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu, Tsung-Jung Liu:
Face Aging on Realistic Photos by Generative Adversarial Networks. ISCAS 2019: 1-5 - 2018
- [j6]Tsung-Jung Liu, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu:
A High-Definition Diversity-Scene Database for Image Quality Assessment. IEEE Access 6: 45427-45438 (2018) - [j5]Tsung-Jung Liu:
Study of Visual Quality Assessment on Pattern Images: Subjective Evaluation and Visual Saliency Effects. IEEE Access 6: 61432-61444 (2018) - [j4]Tsung-Jung Liu, Kuan-Hsien Liu:
No-Reference Image Quality Assessment by Wide-Perceptual-Domain Scorer Ensemble Method. IEEE Trans. Image Process. 27(3): 1138-1151 (2018) - [c14]Kuan-Hsien Liu, Tsung-Jung Liu, Hsin-Hua Liu, Soo-Chang Pei:
Spatio-Temporal Interactive Laws Feature Correlation Method to Video Quality Assessment. ICME Workshops 2018: 1-6 - [c13]Kuan-Hsien Liu, Hsin-Hua Liu, Pak Ki Chan, Tsung-Jung Liu, Soo-Chang Pei:
Age Estimation via Fusion of Depthwise Separable Convolutional Neural Networks. WIFS 2018: 1-8 - 2017
- [j3]Tsung-Jung Liu, Kuan-Hsien Liu, Joe Yuchieh Lin, Weisi Lin, C.-C. Jay Kuo:
A ParaBoost Method to Image Quality Assessment. IEEE Trans. Neural Networks Learn. Syst. 28(1): 107-121 (2017) - [c12]Ching-Ti Lin, Tsung-Jung Liu, Kuan-Hsien Liu:
Visual quality prediction on distorted stereoscopic images. ICIP 2017: 3480-3484 - 2016
- [c11]Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei:
Age estimation via fusion of multiple binary age grouping systems. ICIP 2016: 609-613 - 2015
- [j2]Joe Yuchieh Lin, Rui Song, Eddy Chi-Hao Wu, Tsung-Jung Liu, Haiqiang Wang, C.-C. Jay Kuo:
MCL-V: A streaming video quality assessment database. J. Vis. Commun. Image Represent. 30: 1-9 (2015) - [c10]Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei:
Comparison of subjective viewing test methods for image quality assessment. ICIP 2015: 3155-3159 - [c9]Kuan-Hsien Liu, Tsung-Jung Liu, Hsin-Hua Liu, Soo-Chang Pei:
Facial makeup detection via selected gradient orientation of entropy information. ICIP 2015: 4067-4071 - 2014
- [c8]Joe Yuchieh Lin, Tsung-Jung Liu, Eddy Chi-Hao Wu, C.-C. Jay Kuo:
A fusion-based video quality assessment (fvqa) index. APSIPA 2014: 1-5 - 2013
- [j1]Tsung-Jung Liu, Weisi Lin, C.-C. Jay Kuo:
Image Quality Assessment Using Multi-Method Fusion. IEEE Trans. Image Process. 22(5): 1793-1807 (2013) - [c7]Joe Yuchieh Lin, Tsung-Jung Liu, Weisi Lin, C.-C. Jay Kuo:
Visual-saliency-enhanced image quality assessment indices. APSIPA 2013: 1-4 - 2012
- [c6]Lina Jin, Seongho Cho, Tsung-Jung Liu, Karen O. Egiazarian, C.-C. Jay Kuo:
Performance comparison of decision fusion strategies in BMMF-based image quality assessment. APSIPA 2012: 1-4 - [c5]Tsung-Jung Liu, Weisi Lin, C.-C. Jay Kuo:
A fusion approach to video quality assessment based on temporal decomposition. APSIPA 2012: 1-5 - 2011
- [c4]Tsung-Jung Liu, Weisi Lin, C.-C. Jay Kuo:
A multi-metric fusion approach to visual quality assessment. QoMEX 2011: 72-77 - 2010
- [c3]Soo-Chang Pei, Hsin-Hua Liu, Tsung-Jung Liu, Kuan-Hsien Liu:
Color image watermarking using SVD. ICME 2010: 122-126 - [c2]Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu:
Temporal information assisted video quality metric for multimedia. ICME 2010: 697-701 - [c1]Kuan-Hsien Liu, Tsung-Jung Liu, Hsin-Hua Liu:
A SIFT descriptor based method for global disparity vector estimation in multiview video coding. ICME 2010: 1214-1218
Coauthor Index
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