| 2025 | ICIP | Object Detection and Fruit Tree Growth Stage Identification Via YOLO with Inverted and Swin Transformer Blocks. | Kuan-Hsien Liu, Mingru Wang, Tsung-Jung Liu |
| 2025 | ICIP | Efficient Feature-Guided Approach for Image Restoration. | Chan-Yu Wang, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2025 | ISNCC | Stacked MBN: Stacked Multi-Branch Network for Human Pose Estimation. | Pin-Chuan Liu, Kuan-Hsien Liu, Tsung-Jung Liu |
| 2025 | SMC | Single Image Reflection Separation by Using Reflection and Refraction Estimations. | Tsung-Jung Liu, U.-In Chan, Kuan-Hsien Liu |
| 2025 | SMC | Lightweight Dual Attention Multi-Scale Inverted Residual Neural Network for Image Inpainting. | Kuan-Hsien Liu, Chun-Chieh Chang, Tsung-Jung Liu |
| 2025 | SMC | SCCOME: Scene Change Capture and Optical Motion Estimation for Video Quality Assessment. | Tsung-Jung Liu, Hao-Shiang Liao, Kuan-Hsien Liu |
| 2025 | SMC | LLM-DETR: An Enhanced DETR with a Large Language Model-Inspired Attention Mechanism for Object Detection. | Kuan-Hsien Liu, Mingru Wang, Tsung-Jung Liu |
| 2024 | ICIP | Micro-Expression Recognition Based On 3DCNN Combined With GRU and New Attention Mechanism. | Chun-Ting Fang, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2024 | ISCAS | LIRSRN: A Lightweight Infrared Image Super-Resolution Network. | Chun-An Lin, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2024 | ISCAS | RDLNET: Residual Dense Block based Lightweight Network for Video Super-Resolution. | Kuan-Hsien Liu, Chih-Jung Wang, Tsung-Jung Liu, Wen-Ren Liu |
| 2024 | VCIP | AgeSynthGAN: Advanced Facial Age Synthesis with StyleGAN2. | Tung-Ke Hsieh, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2023 | ICIP | Image Inpainting by Mscswin Transformer Adversarial Autoencoder. | Bo-Wei Chen, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2023 | ICIP | Compound Multi-Branch Feature Fusion for Image Deraindrop. | Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2023 | SMC | 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 |
| 2022 | ICASSP | Super-Resolution of Satellite Images by two-Dimensional RRDB and Edge-Enhancement Generative Adversarial Network. | Yu-Zhang Chen, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2022 | ICIP | Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement. | Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2022 | ISCAS | SUNet: Swin Transformer UNet for Image Denoising. | Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2022 | SMC | 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 |
| 2022 | SMC | Clothing Retrieval from Vision Transformer and Class Aware Attention to Deep Embedding Distance Learning. | Kuan-Hsien Liu, Yu-Hsiang Wu, Tsung-Jung Liu |
| 2022 | VCIP | Image Inpainting with Frequency Domain Wavelet Convolution. | Jain-Kai Huang, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2022 | VCIP | Clothing Retrieval from Channel Attention to KN Loss Learning. | Kuan-Hsien Liu, Yu-Hsiang Wu, Tsung-Jung Liu |
| 2021 | ICIP | Age Regression with Specific Facial Landmarks by Dual Discriminator Adversarial Autoencoder. | Li-Chi Lan, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2021 | SMC | Mix Attention Based Convolutional Neural Network for Clothing Brand Logo Recognition and Classification. | Kuan-Hsien Liu, Guan-Hong Chen, Tsung-Jung Liu |
| 2020 | SMC | Locating Waterfowl Farms from Satellite Images with Parallel Residual U-Net Architecture. | Keng-Chih Chang, Tsung-Jung Liu, Kuan-Hsien Liu, Day-Yu Chao |
| 2020 | SMC | No-Reference Video Quality Assessment by A Cascade Combination of Neural Networks and Regression Model. | Zheng-Lung Chu, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2020 | SMC | Clothing Brand Logo Prediction: From Residual Block to Dense Block. | Kuan-Hsien Liu, Tsung-Jung Liu, Fei Wang |
| 2020 | SMC | Identifying Poultry Farms from Satellite Images with Residual Dense U-Net. | Kai-Yu Wen, Tsung-Jung Liu, Kuan-Hsien Liu, Day-Yu Chao |
| 2019 | ICIP | 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 |
| 2019 | ICIP | Image Inpainting For Random Areas Using Dense Context Features. | Yu-Zhe Su, Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei |
| 2019 | ISCAS | Modern Architecture Style Transfer for Ruin or Old Buildings. | Kuan-Hsien Liu, Tsung-Jung Liu, Chia-Ching Wang, Hsin-Hua Liu, Soo-Chang Pei |
| 2019 | ISCAS | Spatial-Temporal Visual Attention Model for Video Quality Assessment. | Wei-Juen Suen, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu, Tsung-Jung Liu |
| 2019 | ISCAS | Face Aging on Realistic Photos by Generative Adversarial Networks. | Chia-Ching Wang, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu, Tsung-Jung Liu |
| 2017 | ICIP | Visual quality prediction on distorted stereoscopic images. | Ching-Ti Lin, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2016 | ICIP | Age estimation via fusion of multiple binary age grouping systems. | Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei |
| 2015 | ICIP | Comparison of subjective viewing test methods for image quality assessment. | Tsung-Jung Liu, Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei |
| 2015 | ICIP | Facial makeup detection via selected gradient orientation of entropy information. | Kuan-Hsien Liu, Tsung-Jung Liu, Hsin-Hua Liu, Soo-Chang Pei |
| 2011 | QoMEX | A multi-metric fusion approach to visual quality assessment. | Tsung-Jung Liu, Weisi Lin, C.-C. Jay Kuo |