Chih-Chung Hsu

According to our database, Chih-Chung Hsu authored at least 74 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge.

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

Sensors, March, 2024

QRCODE: Quasi-Residual Convex Deep Network for Fusing Misaligned Hyperspectral and Multispectral Images.

Chia-Hsiang Lin, Chih-Chung Hsu, Si-Sheng Young, Cheng-Ying Hsieh, Shen-Chieh Tai

IEEE Trans. Geosci. Remote. Sens., 2024

Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat.

Chih-Chung Hsu, Chih-Yu Jian, Eng-Shen Tu, Chia-Ming Lee, Guan-Lin Chen

IEEE Trans. Geosci. Remote. Sens., 2024

DRCT: Saving Image Super-resolution away from Information Bottleneck.

Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou

CoRR, 2024

MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation.

Chih-Chung Hsu, Chia-Ming Lee

CoRR, 2024

Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes.

Chih-Chung Hsu, Chia-Ming Lee, Ming-Shyen Wu

CoRR, 2024

OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System.

Chih-Chung Hsu, Chia-Ming Lee, Chun-Hung Sun, Kuang-Ming Wu

CoRR, 2024

Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection.

Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang, Yi-Shiuan Chou, Chih-Yu Jiang, Shen-Chieh Tai, Chi-Han Tsai

CoRR, 2024

QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning.

Jiun-Man Chen, Yu-Hsuan Chao, Yu-Jie Wang, Ming-Der Shieh, Chih-Chung Hsu, Wei-Fen Lin

CoRR, 2024

2023

Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism.

Guan-Lin Chen, Chih-Chung Hsu

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Deep learning-based vehicle trajectory prediction based on generative adversarial network for autonomous driving applications.

Chih-Chung Hsu, Li-Wei Kang, Shih-Yu Chen, I-Shan Wang, Ching-Hao Hong, Chuan-Yu Chang

Multim. Tools Appl., March, 2023

Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans.

Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chi-Han Tsai, Sheng-Chieh Dai

CoRR, 2023

1^st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Adapting Object Detection to Fisheye Cameras: A Knowledge Distillation with Semi-Pseudo-Label Approach.

Chih-Chung Hsu, Wen-Hai Tseng, Ming-Hsuan Wu, Chia-Ming Lee, Wei-Hao Huang

Proceedings of the ACM Multimedia Asia 2023, 2023

Gradient Boost Tree Network based on Extensive Feature Analysis for Popularity Prediction of Social Posts.

Chih-Chung Hsu, Chia-Ming Lee, Xiu-Yu Hou, Chi-Han Tsai

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Seeing is Not Believing: Toward Forgery Detection for Hyperspectral Image.

Chih-Chung Hsu, Yu-An Jhang, Min-Tso Ko

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

FPGA Implementation of Floating Point Linear Programming.

Chih-Chung Hsu, Pei-Jun Lee

Proceedings of the International Conference on System Science and Engineering, 2023

Swift Concurrent Semantic Segmentation and Object Detection on Edge Devices.

Chih-Chung Hsu, Yun-Zhong Jiang, Wei-Hao Huang

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Prior-Guided Parallel Residual Bi-Fusion Network in USV Obstacle Detection.

Chih-Chung Hsu, Sophia Yang, Xiu-Yu Hou, Yu-An Jhang

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Identical Twins Verification with Fine-grained Recognition.

Chih-Chung Hsu, Pi-Ju Tsai

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans.

Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chi-Han Tsai, Shen-Chieh Tai

Proceedings of the IEEE International Conference on Acoustics, 2023

Multimodality-aware Intra-dialytic Hypotension Classifier: A Bilingual NLP Approach to Classify Dialysis Records.

Ju-Yeh Yang, Tsung-Chun Lee, Chih-Yu Jian, Chih-Chung Hsu

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images.

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

IEEE Trans. Medical Imaging, 2022

A comprehensive study of age-related macular degeneration detection.

Chih-Chung Hsu, Chia-Yen Lee, Cheng-Jhong Lin, Hung Yeh

Multim. Tools Appl., 2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

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

CoRR, 2022

Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans.

Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen, Sin-Di Ma, Shen-Chieh Tai

CoRR, 2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images.

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, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

CoRR, 2022

A Comprehensive Study of Spatiotemporal Feature Learning for Social Medial Popularity Prediction.

Chih-Chung Hsu, Pi-Ju Tsai, Ting-Chun Yeh, Xiu-Yu Hou

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

GAN-Based Criminal Suspect Face Generator.

Sophia Yang, Jun-Teng Zhang, Chia-Wen Lin, Chih-Chung Hsu

Proceedings of the New Trends in Computer Technologies and Applications, 2022

Augmented-Training-Aware Bisenet for Real-Time Semantic Segmentation.

Chih-Chung Hsu, Chieh Lee, Shen-Chieh Tai, Yun-Zhong Jiang

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision Transformer.

Chih-Chung Hsu, Sheng-Jay Dai, Shao-Ning Chen

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Few-Shot Semantic Segmentation based on Detail-Preserving-Aware Loss.

Chih-Chung Hsu, Sin-Di Ma

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2022

DCSN: Deformable Convolutional Semantic Segmentation Neural Network for Non-Rigid Scenes.

Bor-Sheng Huang, Chih-Chung Hsu, Wo-Ting Liao, Han-Yi Kao, Xian-Yun Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Spatial-Slice Feature Learning Using Visual Transformer and Essential Slices Selection Module for COVID-19 Detection of CT Scans in the Wild.

Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen, Sin-Di Ma, Shen-Chieh Tai

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite.

Chih-Chung Hsu, Chia-Hsiang Lin, Chi-Hung Kao, Yen-Cheng Lin

IEEE Trans. Geosci. Remote. Sens., 2021

Visual Transformer with Statistical Test for COVID-19 Classification.

Chih-Chung Hsu, Guan-Lin Chen, Mei-Hsuan Wu

CoRR, 2021

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report.

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

CoRR, 2021

Efficient-ROD: Efficient Radar Object Detection based on Densely Connected Residual Network.

Chih-Chung Hsu, Chieh Lee, Lin Chen, Min-Kai Hung, Andy Yu-Lun Lin, Xian-Yu Wang

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Adaptive Distribution Learning with Statistical Hypothesis Testing for COVID-19 CT Scan Classification.

Guan-Lin Chen, Chih-Chung Hsu, Mei-Hsuan Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Generative Adversarial Networks-based Face Hallucination with Identity-Preserving.

Chia-Hung Yeh, Daniel Chiu, Li-Wei Kang, Chih-Chung Hsu, Chen Lo

Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2021

2020

Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge.

Chih-Chung Hsu, Hsin-Ti Ma

CoRR, 2020

Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction.

Chih-Chung Hsu, Wen-Hai Tseng, Hao-Ting Yang, Chia-Hsiang Lin, Chi-Hung Kao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Coupled Adversarial Learning for Single Image Super-Resolution.

Chih-Chung Hsu, Kuan-Yu Huang

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Learning to Predict Risky Driving Behaviors for Autonomous Driving.

Chih-Chung Hsu, Wen-Hai Tseng, Hao-Ting Yang

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2020

2019

SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination.

Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung

IEEE Trans. Image Process., 2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.

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

CoRR, 2019

Stronger Baseline for Vehicle Re-Identification in the Wild.

Chih-Chung Hsu, Cing-Hao Hung, Chih-Yu Jian, Yi-Xiu Zhuang

Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Popularity Prediction of Social Media based on Multi-Modal Feature Mining.

Chih-Chung Hsu, Li-Wei Kang, Chia-Yen Lee, Jun-Yi Lee, Zhong-Xuan Zhang, Shao-Min Wu

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Detecting Generated Image Based on a Coupled Network with Two-Step Pairwise Learning.

Yi-Xiu Zhuang, Chih-Chung Hsu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution.

Chih-Chung Hsu, Chia-Hsiang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

SSSNet: Small-Scale-Aware Siamese Network for Gastric Cancer Detection.

Chih-Chung Hsu, Hsin-Ti Ma, Jun-Yi Lee

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018

CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data.

Chih-Chung Hsu, Chia-Wen Lin

IEEE Trans. Multim., 2018

Learning to Detect Fake Face Images in the Wild.

Chih-Chung Hsu, Chia-Yen Lee, Yi-Xiu Zhuang

CoRR, 2018

An Iterative Refinement Approach for Social Media Headline Prediction.

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

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Joint Pairwise Learning and Image Clustering Based on a Siamese CNN.

Weng-Tai Su, Chih-Chung Hsu, Ziling Huang, Chia-Wen Lin, Gene Cheung

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Objective quality assessment for video retargeting based on spatio-temporal distortion analysis.

Chih-Chung Hsu, Chia-Wen Lin

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Social Media Prediction Based on Residual Learning and Random Forest.

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

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Unsupervised convolutional neural networks for large-scale image clustering.

Chih-Chung Hsu, Chia-Wen Lin

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Supervised-learning based face hallucination for enhancing face recognition.

Weng-Tai Su, Chih-Chung Hsu, Chia-Wen Lin, Weiyao Lin

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Learning-Based Joint Super-Resolution and Deblocking for a Highly Compressed Image.

Li-Wei Kang, Chih-Chung Hsu, Boqi Zhuang, Chia-Wen Lin, Chia-Hung Yeh

IEEE Trans. Multim., 2015

Temporally Coherent Superresolution of Textured Video via Dynamic Texture Synthesis.

Chih-Chung Hsu, Li-Wei Kang, Chia-Wen Lin

IEEE Trans. Image Process., 2015

2014

Objective Quality Assessment for Image Retargeting Based on Perceptual Geometric Distortion and Information Loss.

Chih-Chung Hsu, Chia-Wen Lin, Yuming Fang, Weisi Lin

IEEE J. Sel. Top. Signal Process., 2014

Video super-resolution via dynamic texture synthesis.

Chih-Chung Hsu, Li-Wei Kang, Chia-Wen Lin

Proceedings of the IEEE 16th International Workshop on Multimedia Signal Processing, 2014

2013

Objective quality assessment for image retargeting based on perceptual distortion and information loss.

Chih-Chung Hsu, Chia-Wen Lin, Yuming Fang, Weisi Lin

Proceedings of the 2013 Visual Communications and Image Processing, 2013

Self-learning-based single image super-resolution of a highly compressed image.

Li-Wei Kang, Bo-Chi Chuang, Chih-Chung Hsu, Chia-Wen Lin, Chia-Hung Yeh

Proceedings of the 15th IEEE International Workshop on Multimedia Signal Processing, 2013

2011

Fast deconvolution-based image super-resolution using gradient prior.

Chun-Yu Lin, Chih-Chung Hsu, Chia-Wen Lin, Li-Wei Kang

Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

Image super-resolution via feature-based affine transform.

Chih-Chung Hsu, Chia-Wen Lin

Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011

2010

Face hallucination using Bayesian global estimation and local basis selection.

Chih-Chung Hsu, Chia-Wen Lin, Chiou-Ting Hsu, Hong-Yuan Mark Liao, Jen-Yu Yu

Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010

2009

Cooperative face hallucination using multiple references.

Chih-Chung Hsu, Chia-Wen Lin, Chiou-Ting Hsu, Hong-Yuan Mark Liao

Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

2008

Video forgery detection using correlation of noise residue.

Chih-Chung Hsu, Tzu-Yi Hung, Chia-Wen Lin, Chiou-Ting Hsu

Proceedings of the International Workshop on Multimedia Signal Processing, 2008

Accelerating vector quantization of images using modified run length coding for adaptive block representation and difference measurement.

Chih-Chung Hsu, Hsuan-Ting Chang

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2007

An Improved Face Detection Method in Low-resolution Video.

Chih-Chung Hsu, Hsuan-Ting Chang, Ting Cheng Chang

Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

2006

Efficient Moving Object Extraction in Compressed Low-Bit-Rate Video.

Chih-Chung Hsu, Hsuan-Ting Chang, Ting Cheng Chang

Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006