Chih-Chung Hsu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 72

Top Topics

Face Hallucination

Compressed Sensing

Top Venues

Publications

Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang, Yi-Shiuan Chou, Chih-Yu Jiang, Shen-Chieh Tai, Chi-Han Tsai
Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection. CoRR (2024)
Chih-Chung Hsu, Chia-Ming Lee, Ming-Shyen Wu
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes. CoRR (2024)
Chia-Hsiang Lin, Yangrui Liu, Chong-Yung Chi, Chih-Chung Hsu, Hsuan Ren, Tony Q. S. Quek
Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Chih-Chung Hsu, Chia-Ming Lee, Chun-Hung Sun, Kuang-Ming Wu
OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System. CoRR (2024)
Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Yi-Shiuan Chou, Chih-Yu Jian, Chi-Han Tsai
Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction. CoRR (2024)
Chih-Chung Hsu, Chia-Ming Lee, Chun-Hung Sun, Kuang-Ming Wu
Progressive Alignment with VLM-LLM Feature to Augment Defect Classification for the ASE Dataset. CoRR (2024)
Chih-Chung Hsu, Chih-Yu Jian, Eng-Shen Tu, Chia-Ming Lee, Guan-Lin Chen
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat. CoRR (2024)
Jiun-Man Chen, Yu-Hsuan Chao, Yu-Jie Wang, Ming-Der Shieh, Chih-Chung Hsu, Wei-Fen Lin
QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning. CoRR (2024)
Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid, Suman Chaudhary, Wanting Yang, Yan Qiang, Talha Anwar, Mihaela Elena Breaban, Chih-Chung Hsu, Shen-Chieh Tai, Shao-Ning Chen, Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto, Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors 24 (5) (2024)
Chih-Chung Hsu, Shao-Ning Chen, Mei-Hsuan Wu, Yi-Fang Wang, Chia-Ming Lee, Yi-Shiuan Chou
GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection. CoRR (2024)
Chia-Hsiang Lin, Chih-Chung Hsu, Si-Sheng Young, Cheng-Ying Hsieh, Shen-Chieh Tai
QRCODE: Quasi-Residual Convex Deep Network for Fusing Misaligned Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Chih-Chung Hsu, Chih-Yu Jian, Eng-Shen Tu, Chia-Ming Lee, Guan-Lin Chen
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang, Yi-Shiuan Chou, Chih-Yu Jiang, Shen-Chieh Tai, Chi-Han Tsai
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection. CoRR (2024)
Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou
DRCT: Saving Image Super-resolution away from Information Bottleneck. CoRR (2024)
Chih-Chung Hsu, Chia-Ming Lee
MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation. CoRR (2024)
Chih-Chung Hsu, Chih-Chien Ni, Chia-Ming Lee, Li-Wei Kang
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion. CoRR (2024)
Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel
NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. CoRR (2024)
Chih-Chung Hsu, Chia-Ming Lee, Xiu-Yu Hou, Chi-Han Tsai
Gradient Boost Tree Network based on Extensive Feature Analysis for Popularity Prediction of Social Posts. ACM Multimedia (2023)
Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) (2023)
Chih-Chung Hsu, Wen-Hai Tseng, Ming-Hsuan Wu, Chia-Ming Lee, Wei-Hao Huang
Adapting Object Detection to Fisheye Cameras: A Knowledge Distillation with Semi-Pseudo-Label Approach. MMAsia (2023)
Chih-Chung Hsu, Pei-Jun Lee
FPGA Implementation of Floating Point Linear Programming. ICSSE (2023)
Chih-Chung Hsu, Yun-Zhong Jiang, Wei-Hao Huang
Swift Concurrent Semantic Segmentation and Object Detection on Edge Devices. ICME Workshops (2023)
Chih-Chung Hsu, Yu-An Jhang, Min-Tso Ko
Seeing is Not Believing: Toward Forgery Detection for Hyperspectral Image. IGARSS (2023)
Guan-Lin Chen, Chih-Chung Hsu
Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chi-Han Tsai, Shen-Chieh Tai
Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans. ICASSP Workshops (2023)
Chih-Chung Hsu, Pi-Ju Tsai
Identical Twins Verification with Fine-grained Recognition. ICCE-Taiwan (2023)
Ju-Yeh Yang, Tsung-Chun Lee, Chih-Yu Jian, Chih-Chung Hsu
Multimodality-aware Intra-dialytic Hypotension Classifier: A Bilingual NLP Approach to Classify Dialysis Records. BCB (2023)
Chih-Chung Hsu, Li-Wei Kang, Shih-Yu Chen, I-Shan Wang, Ching-Hao Hong, Chuan-Yu Chang
Deep learning-based vehicle trajectory prediction based on generative adversarial network for autonomous driving applications. Multim. Tools Appl. 82 (7) (2023)
Chih-Chung Hsu, Sophia Yang, Xiu-Yu Hou, Yu-An Jhang
Prior-Guided Parallel Residual Bi-Fusion Network in USV Obstacle Detection. ICCE-Taiwan (2023)
Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chi-Han Tsai, Sheng-Chieh Dai
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans. CoRR (2023)
Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen, Sin-Di Ma, Shen-Chieh Tai
Spatial-Slice Feature Learning Using Visual Transformer and Essential Slices Selection Module for COVID-19 Detection of CT Scans in the Wild. ECCV Workshops (7) (2022)
Chih-Chung Hsu, Pi-Ju Tsai, Ting-Chun Yeh, Xiu-Yu Hou
A Comprehensive Study of Spatiotemporal Feature Learning for Social Medial Popularity Prediction. ACM Multimedia (2022)
Chih-Chung Hsu, Sheng-Jay Dai, Shao-Ning Chen
COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision Transformer. ICIAP Workshops (2022)
Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR (2022)
Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 41 (10) (2022)
Sophia Yang, Jun-Teng Zhang, Chia-Wen Lin, Chih-Chung Hsu
GAN-Based Criminal Suspect Face Generator. ICS (2022)
Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwénolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR (2022)
Chih-Chung Hsu, Chieh Lee, Shen-Chieh Tai, Yun-Zhong Jiang
Augmented-Training-Aware Bisenet for Real-Time Semantic Segmentation. ICME Workshops (2022)
Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen, Sin-Di Ma, Shen-Chieh Tai
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans. CoRR (2022)
Chih-Chung Hsu, Sin-Di Ma
Few-Shot Semantic Segmentation based on Detail-Preserving-Aware Loss. ICCE-TW (2022)
Chih-Chung Hsu, Chia-Yen Lee, Cheng-Jhong Lin, Hung Yeh
A comprehensive study of age-related macular degeneration detection. Multim. Tools Appl. 81 (9) (2022)
Bor-Sheng Huang, Chih-Chung Hsu, Wo-Ting Liao, Han-Yi Kao, Xian-Yun Wang
DCSN: Deformable Convolutional Semantic Segmentation Neural Network for Non-Rigid Scenes. ICASSP (2022)
Chia-Hung Yeh, Daniel Chiu, Li-Wei Kang, Chih-Chung Hsu, Chen Lo
Generative Adversarial Networks-based Face Hallucination with Identity-Preserving. ICCE-TW (2021)
Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte, Min-Hung Chen, Man-Yu Lee, Yu-Syuan Xu, Yu Tseng, Shusong Xu, Jin Guo, Chao-Hung Chen, Ming-Chun Hsyu, Wen-Chia Tsai, Chao-Wei Chen, Grigory Malivenko, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Zheng Shaolong, Hao Dejun, Xie Fen, Feng Zhuang, Yipeng Ma, Jingyang Peng, Tao Wang, Fenglong Song, Chih-Chung Hsu, Kwan-Lin Chen, Mei-Hsuang Wu, Vishal M. Chudasama, Kalpesh Prajapati, Heena Patel, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch, Etienne de Stoutz
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR (2021)
Chih-Chung Hsu, Chieh Lee, Lin Chen, Min-Kai Hung, Andy Yu-Lun Lin, Xian-Yu Wang
Efficient-ROD: Efficient Radar Object Detection based on Densely Connected Residual Network. ICMR (2021)
Guan-Lin Chen, Chih-Chung Hsu, Mei-Hsuan Wu
Adaptive Distribution Learning with Statistical Hypothesis Testing for COVID-19 CT Scan Classification. ICCVW (2021)
Chih-Chung Hsu, Guan-Lin Chen, Mei-Hsuan Wu
Visual Transformer with Statistical Test for COVID-19 Classification. CoRR (2021)
Chih-Chung Hsu, Chia-Hsiang Lin, Chi-Hung Kao, Yen-Cheng Lin
DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite. IEEE Trans. Geosci. Remote. Sens. 59 (9) (2021)
Chih-Chung Hsu, Kuan-Yu Huang
Coupled Adversarial Learning for Single Image Super-Resolution. SAM (2020)
Chih-Chung Hsu, Wen-Hai Tseng, Hao-Ting Yang
Learning to Predict Risky Driving Behaviors for Autonomous Driving. ICCE-TW (2020)
Chih-Chung Hsu, Wen-Hai Tseng, Hao-Ting Yang, Chia-Hsiang Lin, Chi-Hung Kao
Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction. ACM Multimedia (2020)
Chih-Chung Hsu, Hsin-Ti Ma
Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge. CoRR (2020)
Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR (2019)
Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops (2019)
Yi-Xiu Zhuang, Chih-Chung Hsu
Detecting Generated Image Based on a Coupled Network with Two-Step Pairwise Learning. ICIP (2019)
Chih-Chung Hsu, Li-Wei Kang, Chia-Yen Lee, Jun-Yi Lee, Zhong-Xuan Zhang, Shao-Min Wu
Popularity Prediction of Social Media based on Multi-Modal Feature Mining. ACM Multimedia (2019)
Chih-Chung Hsu, Chia-Hsiang Lin
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. ICCV Workshops (2019)
Chih-Chung Hsu, Chia-Hsiang Lin
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. CoRR (2019)
Chih-Chung Hsu, Cing-Hao Hung, Chih-Yu Jian, Yi-Xiu Zhuang
Stronger Baseline for Vehicle Re-Identification in the Wild. VCIP (2019)
Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. IEEE Trans. Image Process. 28 (12) (2019)
Chih-Chung Hsu, Hsin-Ti Ma, Jun-Yi Lee
SSSNet: Small-Scale-Aware Siamese Network for Gastric Cancer Detection. AVSS (2019)
Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. CoRR (2018)
Chih-Chung Hsu, Chia-Wen Lin
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data. IEEE Trans. Multim. 20 (2) (2018)
Chih-Chung Hsu, Chia-Yen Lee, Ting-Xuan Liao, Jun-Yi Lee, Tsai-Yne Hou, Ying-Chu Kuo, Jing-Wen Lin, Ching-Yi Hsueh, Zhong-Xuan Zhan, Hsiang-Chin Chien
An Iterative Refinement Approach for Social Media Headline Prediction. CoRR (2018)
Weng-Tai Su, Chih-Chung Hsu, Ziling Huang, Chia-Wen Lin, Gene Cheung
Joint Pairwise Learning and Image Clustering Based on a Siamese CNN. ICIP (2018)
Chih-Chung Hsu, Chia-Yen Lee, Ting-Xuan Liao, Jun-Yi Lee, Tsai-Yne Hou, Ying-Chu Kuo, Jing-Wen Lin, Ching-Yi Hsueh, Zhong-Xuan Zhang, Hsiang-Chin Chien
An Iterative Refinement Approach for Social Media Headline Prediction. ACM Multimedia (2018)
Chih-Chung Hsu, Chia-Yen Lee, Yi-Xiu Zhuang
Learning to Detect Fake Face Images in the Wild. CoRR (2018)
Chih-Chung Hsu, Chia-Wen Lin
Unsupervised convolutional neural networks for large-scale image clustering. ICIP (2017)
Chih-Chung Hsu, Ying-Chin Lee, Ping-En Lu, Shian-Shin Lu, Hsiao-Ting Lai, Ching-Chu Huang, Chun Wang, Yang-Jiun Lin, Weng-Tai Su
Social Media Prediction Based on Residual Learning and Random Forest. ACM Multimedia (2017)
Chih-Chung Hsu, Chia-Wen Lin
Objective quality assessment for video retargeting based on spatio-temporal distortion analysis. VCIP (2017)
Chih-Chung Hsu, Chia-Wen Lin
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data. CoRR (2017)
Weng-Tai Su, Chih-Chung Hsu, Chia-Wen Lin, Weiyao Lin
Supervised-learning based face hallucination for enhancing face recognition. ICASSP (2016)
Chih-Chung Hsu, Li-Wei Kang, Chia-Wen Lin
Temporally Coherent Superresolution of Textured Video via Dynamic Texture Synthesis. IEEE Trans. Image Process. 24 (3) (2015)
Li-Wei Kang, Chih-Chung Hsu, Boqi Zhuang, Chia-Wen Lin, Chia-Hung Yeh
Learning-Based Joint Super-Resolution and Deblocking for a Highly Compressed Image. IEEE Trans. Multim. 17 (7) (2015)
Chih-Chung Hsu, Chia-Wen Lin, Yuming Fang, Weisi Lin
Objective Quality Assessment for Image Retargeting Based on Perceptual Geometric Distortion and Information Loss. IEEE J. Sel. Top. Signal Process. 8 (3) (2014)
Chih-Chung Hsu, Li-Wei Kang, Chia-Wen Lin
Video super-resolution via dynamic texture synthesis. MMSP (2014)
Li-Wei Kang, Bo-Chi Chuang, Chih-Chung Hsu, Chia-Wen Lin, Chia-Hung Yeh
Self-learning-based single image super-resolution of a highly compressed image. MMSP (2013)
Chih-Chung Hsu, Chia-Wen Lin, Yuming Fang, Weisi Lin
Objective quality assessment for image retargeting based on perceptual distortion and information loss. VCIP (2013)
Chun-Yu Lin, Chih-Chung Hsu, Chia-Wen Lin, Li-Wei Kang
Fast deconvolution-based image super-resolution using gradient prior. VCIP (2011)
Chih-Chung Hsu, Chia-Wen Lin
Image super-resolution via feature-based affine transform. MMSP (2011)
Chih-Chung Hsu, Chia-Wen Lin, Chiou-Ting Hsu, Hong-Yuan Mark Liao, Jen-Yu Yu
Face hallucination using Bayesian global estimation and local basis selection. MMSP (2010)
Chih-Chung Hsu, Chia-Wen Lin, Chiou-Ting Hsu, Hong-Yuan Mark Liao
Cooperative face hallucination using multiple references. ICME (2009)
Chih-Chung Hsu, Tzu-Yi Hung, Chia-Wen Lin, Chiou-Ting Hsu
Video forgery detection using correlation of noise residue. MMSP (2008)
Chih-Chung Hsu, Hsuan-Ting Chang
Accelerating vector quantization of images using modified run length coding for adaptive block representation and difference measurement. ISCAS (2008)
Chih-Chung Hsu, Hsuan-Ting Chang, Ting Cheng Chang
An Improved Face Detection Method in Low-resolution Video. IIH-MSP (2007)
Chih-Chung Hsu, Hsuan-Ting Chang, Ting Cheng Chang
Efficient Moving Object Extraction in Compressed Low-Bit-Rate Video. IIH-MSP (2006)