Publications by Years:

[2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2004 | 2001 | 1998 | 1997 | 1994]

2024 [top]

Ming-Chien Ho, Yu-Te Ku , Yu Xiao, Feng-Hao Liu, Chih-Fan Hsu, Ming-Ching Chang, Shih-Hao Hung, Wei-Chao Chen, “Efficient Design of FHEW/TFHE Bootstrapping Implementation with Scalable Parameters”, IEEE/ACM International Conference on Computer Aided Design, Newark, NJ, USA, 2024. PDF
Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen, “Learning Multi-Manifold Embedding for Out-Of-Distribution Detection”, Beyond Euclidean Workshop (BEW): Hyperbolic and Hyperspherical Learning for Computer Vision, European Conference on Computer Vision (ECCV) Workshhop, Milan, Italy, 2024, Best Paper Award. PDF
Zhenfei Zhang, Mingyang Li, Xin Li, Ming-Ching Chang, Jun-Wei Hsieh, “Image Manipulation Detection With Implicit Neural Representation and Limited Supervision”, European Conference on Computer Vision (ECCV), Milan, Italy, 2024 (acceptance rate 27.9%).
Yu-Ming Zhang, Yu-Hsiu Chang, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang, Chun-Chieh Lee, Kuo-Chin Fan, “SET-NAS: Sample-Efficient Training for Neural Architecture Search with Strong Predictor and Stratified Sampling”, IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, 2024.
Po-Hsuan Huang, Chia-Ching Lin, Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen, “Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction”, IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, 2024.
Abhineet Kumar Pandey, Ming-Ching Chang, Xin Li, “TextSleuth: A New Dataset and Baseline for Scene Text Manipulation Detection”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, 2024. PDF
Yuwei Chen, Ming-Ching Chang, Xin Li, “Leveraging Semantic Segmentation for Image Manipulation Detection and Localization”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, 2024. PDF
Zhenfei Zhang, Tsung-Wei Huang, Guan-Ming Su, Ming-Ching Chang, Xin Li, “Diffusion Model for Text to Synchronized Joint Talking Head Video and Audio Generation”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, 2024. PDF
Ting Yu Tsai, Li Lin, Shu Hu, Ming-Ching Chang, Hongyu Zhu, Xin Wang, “UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, 2024. PDF arXiv
An Yu, Jeremy Varghese, Ferhat Demirkiran, Peter Buonaiuto, Xin Li, Ming-Ching Chang, “Dual-Phase MSQNet for Species-Specific Animal Activity Recognition”, IEEE International Conference on Multimedia and Expo (ICME), Grant Challenge on Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC) Animal Action Recognition, Rank #2 in the Competition, Niagara Falls, ON, Canada, 2024. PDF
Chi-Huan Tung, Meng-Zhe Chen, Hsin-Lung Chen, Guan-Rong Huang, Lionel Porcar, Ming-Ching Chang, Jan-Michael Carrillo, Yangyang Wang, Bobby G. Sumpter, Changwoo Do and Wei-Ren Chen, “Inferring Structure Factors of Charge Stabilized Colloids from Scattering Using Deep Learning”, Journal of Applied Crystallography, vol. 57, pp. 1047-1058, 2024. PDF
Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa, “The 8th AI City Challenge”, IEEE CVPR Workshop on the AI City Challenge, Seattle, WA, USA, June 2024. arXiv
Chi-Huan Tung, Yu-Jung Hsiao, Hsin-Lung Chen, Guan-Rong Huang, Lionel Porcar, Ming-Ching Chang, Jan-Michael Carrillo, Yangyang Wang, Bobby G. Sumpter, Yuya Shinohara, Jon Taylor, Changwoo Do, Wei-Ren Chen, “Unveiling Mesoscopic Structures in Distorted Lamellar Phases Through Deep Learning-based Small Angle Neutron Scattering Analysis”, Journal of Colloid and Interface Science, 659, 739-750, April 2024. PDF
Shang-Jui Kuo, Po-Han Huang, Chia-Ching Lin, Jeng-Lin Li, Ming-Ching Chang, “Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation Strategies”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, 2024. PDF
Zhenfei Zhang, Mingyang Li, Ming-Ching Chang, “A New Benchmark and Model for Challenging Image Manipulation Detection”, AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024. PDF arXiv
Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Hung-Hin So, Xin Li, “SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking”, AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024. PDF arXiv Code
Ying-Yu Chen, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang, “Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention”, AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024. PDF
Ying-Hsuan Wu, Jun-Wei Hsieh, Li Xin, Shin-You Teng, Yi-Kuan Hsieh, Ming-Ching Chang, “Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity”, arXiv: 2403.02363, Mar. 2024. arXiv

2023 [top]

Jhe-An Chen, Jen-Chien Hou, Richard Tzong-Han Tsai, Hsiung-Ming Liao, Shih-Pei Chen, and Ming-Ching Chang, “Image Classification for Historical Documents: A Study on Chinese Local Gazetteers”, Digital Scholarship in the Humanities, 2023. PDF
Ping-Yang Chen, Jun-Wei Hsieh, Ming-Ching Chang, Munkhjargal Gochoo, Fang-Pang Lin, Yong-Sheng Chen, “Fisheye Multiple Object Tracking by Learning Distortions without Dewarping”, IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, Oct. 2023. PDF
Tzu-Li Liu, Yu-Te Ku, Ming-Chien Ho, Feng-Hao Liu, Ming-Ching Chang, Chih-Fan Hsu, Wei-Chao Chen and Shih-Hao Hung, “An Efficient CKKS-FHEW/TFHE Hybrid Encrypted Inference Framework”, International Workshop on Private, Secure, and Trustworthy AI (PriST-AI) in Conjunction with ESORICS, 2023. PDF
Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu, “GAN-generated Faces Detection: A Survey and New Perspectives”, European Conference on Artificial Intelligence (ECAI), Krakaw, Poland, Sep. 2023. arXiv 2202.07145.
Zhenfei Zhang, Ming-Ching Chang,“Two-Stage Dual Augmentation with CLIP for Improved Text-to-Sketch Synthesis”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), Singapore, Aug. 2023, Best Student Paper Award. PDF
Yuwei Chen, Ming-Ching Chang, “Transformer Based Image-Text Consistency Analysis for Infographic Articles”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), Singapore, Aug. 2023. PDF
Ke-Han Li, Chih-Fan Hsu, Ming-Ching Chang, Feng-Hao Liu, Shao-Yi Chien, Wei-Chao Chen, “Region-aware Photo Assurance System for Image Authentication”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), Singapore, Aug. 2023. PDF
Ping-Yang Chen, Jun-Wei Hsieh, Ming-Ching Chang, Chung-I Huang, Wei-Yu Chen, Munkhjargal Gochoo, Fang-Pan Lin, “Fisheye-DETRAC: A New Fisheye Video Benchmark for Multi-Object Detection and Tracking”, IPPR Computer Vision, Graphics, and Image Processing (CVGIP), Kinmen, Taiwan, Aug., 2023. PDF
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa, “The 7th AI City Challenge”, IEEE CVPR Workshop on the AI City Challenge, Vancouver, Canada, June 2023. arXiv: 2304.07500.
Bor-Shiun Wang, Ping-Yang Chen, Yi-Kuan Hsieh, Jun-Wei Hsieh, Ming-Ching Chang, JiaXin He, Shin-You Teng, HaoYuan Yue, “PRB-FPN+: Video Analytics for Enforcing Motorcycle Helmet Laws”, IEEE CVPR Workshop on the AI City Challenge, Vancouver, Canada, June 2023.
Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang, Guan-Lin He, Ping-Yang Chen, Wei-Tsung Chang, Yi-Kuan Hsieh, “Video Analytics for Detecting Motorcyclist Helmet Rule Violations”, IEEE CVPR Workshop on the AI City Challenge, Vancouver, Canada, June 2023.
Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Erkhembayar Ganbold, Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Byambaa Dorj, Hamad Al Jassmi, Ganzorig Batnasan, Fady Alnajjar, Mohammed Abduljabbar, Fang-Peng Lin, “FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection”, IEEE CVPR Workshop on the AI City Challenge, Vancouver, Canada, June 2023. arXiv: 2305.17449
Isack Farady, Chih-Yang Lin, Ming-Ching Chang, “PreAugNet: Improve Data Augmentation for Industrial Defect Classification with Small-Scale Training Data”, Journal of Intelligent Manufacturing, March, 2023. PDF
Chi-Huan Tung, Shou-Yi Chang, Ming-Ching Chang, Jan-Michael Carrillo, Bobby G Sumpter, Changwoo Do, Wei-Ren Chen, “Inferring Colloidal Interaction from Scattering by Machine Learning”, Elsevier Carbon Trends, vol. 10, 100252, March 2023.
Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Hung-Hin So, Xin Li, “SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking”, arXiv:2211.08824, Aug., 2023. Papers With Code Multi-Object Tracking Benchmark Ranking

2022 [top]

Fityanul Akhyar, Ledya Novamizanti, Muhammad Azka Imaddudin, Ikhsanico Henda Pratama, Shandy Ramanda Firmansyach, Ming-Ching Chang, Chih-Yang Lin, “Observation of Attention Mechanism Baseline for PCB Surface Inspection System”, IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), 2022.
Jun-Wei Hsieh, Cheng-Han Chou, Ming-Ching Chang, Ping-Yang Chen, Santanu Santra, Chih-Sheng Huang, “Mean-Shift Based Differentiable Architecture Search”, IEEE Trans. on Artificial Intelligence, 2022. PDF arXiv
Cheng-Shih Wong, Hsiung-Ming Liao, Richard Tzong-Han Tsai, Ming-Ching Chang, “Semi-supervised Learning for Topographic Map Analysis Over Time: a Study of Bridge Segmentation”, Nature Scientific Report, 12 (18997), 2022. PDF
Ehab AlBadawy, Chengzhe Sun, Sarah Robinson, Timothy Davison, Ming-Ching Chang, Siwei Lyu, “Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts”, IEEE International Workshop on Information Forensics and Security (WIFS), Shanghai, China, 2022. PDF
Shuchen Weng, Yi Wei, Ming-Ching Chang, Boxin Shi, “Instance Contour Adjustment via Structure-driven CNN”, European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022. PDF, Supp
Yuwei Chen and Ming-Ching Chang, “Toward Multimodal Semantic Consistency Analysis of Long Form Articles”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. PDF
Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen, “A Robust Collaborative Learning Framework Using Data Digests and Synonyms to Represent Absent Clients”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. PDF
Chih-Fan Hsu, Jing-Lun Huang, Feng-Hao Liu, Ming-Ching Chang, Wei-Chao Chen, “FedTrust: Towards Building Secure Robust and Trustworthy Moderators for Federated Learning”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. PDF
Fityanul Akhyar, Ledya Novamizanti, Trianusa Putra, Elvin Nur Furqon, Ming-Ching Chang, Chih-Yang Lin, “Lightning YOLOv4 for a Surface Defect Detection System for Sawn Lumber”, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. PDF
Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu, “Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces”, Demo Paper, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. PDF
Yuwei Chen and Ming-Ching Chang, “On Multimodal Semantic Consistency Detection of News Articles with Image Caption Pairs”, IEEE International Conference on Consumer Electronics (ICCE), Taipei, Taiwan, 2022. PDF
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa,“The 6th AI City Challenge”, CVPR Workshop on AI City Challenge, New Orleans, LA, 2022. arXiv: 2204.10380
Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan, “PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems”, CVPR Workshop on Autonomous Driving (WAD), New Orleans, LA, 2022. arXiv:2203.05983
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu, “Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces”, IEEE Access, vol. 10, pp. 32574-32583, 2022. PDF
Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu, “DetPoseNet: Improve Multi-Person Pose Estimation via Coarse-Pose Filtering”, IEEE Transactions on Image Processing (TIP), vol. 31, pp. 2782-2795, 2022. PDF
Ming-Ching Chang, Chi-Huan Tung, Shou-Yi Chang, Jan Michael Carrillo, Yangyang Wang, Bobby G. Sumpter, Guan-Rong Huang, Changwoo Do, Wei-Ren Chen, “A Machine Learning Inversion Approach for Determining Effective Interaction Potential from Scattering”, Communications Physics - Nature, 2022. PDF
Wenbo Li, Yi Wei, Siwei Lyu, Ming-Ching Chang, “Simultaneous Multi-Person Tracking and Activity Recognition based on Cohesive Cluster Search”, Computer Vision and Image Understanding (CVIU), Elsevier, vol. 214, 2022. PDF, Supplementary
Ehab. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu, “VocBench: A Neural Vocoder Benchmark for Speech Synthesis”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 2022. PDF
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu, “Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 2022. PDF
Zhenfei Zhang, Ming-Ching Chang, Tien D. Bui, “Improving Class Activation Map for Weakly Supervised Object Localization”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 2022. PDF
Mingzhen Huang, Shan Jia, Ming-Ching Chang, Siwei Lyu, “Text-Image De-contextualization Detection Using Vision-Language Models”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. Singapore, PDF
Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen, “FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients”, arXiv: 2210.00737, Oct. 2022.

2021 [top]

Mu-Chun Su, Chun-Ting Cheng, Yi-Zhen Hsieh, Shih-Syun Lin, Ming-Ching Chang, “A Video Analytic Student Concentration Monitoring System”, IEEE Transactions on Consumer Electronics, Vol. 67 (4), pp. 294-304, 2021. PDF
Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen, “Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection”, IEEE Transactions on Image Processing (TIP), vol. 30, pp. 9099-9111, 2021. PDF
Yuezun Li, Ming-Ching Chang, Pu Sun, Honggang Qi, Junyu Dong, Siwei Lyu, “TransRPN: Towards the Transferable Adversarial Perturbations Using Region Proposal Networks and Beyond”, Computer Vision and Image Understanding (CVIU), Elsevier, vol. 213, 2021. PDF
Bor-Shiun Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Lipeng Ke, Siwei Lyu, “LDW-Pooling: Learning Discrete Wavelet Pooling for Convolutional Networks”, British Machine Vision Conference (BMVC), 2021. PDF
Yao-Hui Huang, Jun-Wei Hsieh, Ming-Ching Chang, Lipeng Ke, Siwei Lyu, Arpita Samanta Santra, “Multi-Teacher Single-Student Visual Transformer with Multi-Level Attention for Face Spoofing Detection”, British Machine Vision Conference (BMVC), 2021. PDF
Shou-Fang Wu, Ming-Ching Chang, Siwei Lyu, Cheng-Shih Wong, Abhineet Kumar Pandey, Po-Chi Su, “FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild”, IEEE Advanced Video and Signal-based Surveillance (AVSS), 2021. PDF Slides Dataset
Guanliang Zhao, Abhineet Kumar Pandey, Ming-Ching Chang, Siwei Lyu, “A Video Analytic System for Rail Crossing Point Protection”, IEEE Advanced Video and Signal-based Surveillance (AVSS), 2021. PDF
Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen, Bor-Shiun Wang, Cheng-Han Chou, Bo-Chuan Lin, “Effective LightWeight Feature Fusion Feature Pyramid Network for Extremely Small Object Detection”, IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2021. PDF
Ping-Yang Chen, Jun-Wei Hsieh, Yong-Sheng Chen, Ming-Ching Chang, Zhen-Wei Chen, “Edge Cloud Collaborative Computing for Drone-Based Vehicle Flow Estimation in 5th Generation Wireless Systems”, National Conference on Web Intelligence and Applications (NCWIA), Best Paper Award, Taiwan, 2021. PDF
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, “The 5th AI City Challenge”, CVPR Workshop on AI City Challenge, 2021. PDF
Yun-Lun Li, Zhi-Yi Chin, Ming-Ching Chang and Chen-Kuo Chiang, “Multi-Camera Tracking by Candidate Intersection Ratio Tracklet Matching”, CVPR Workshop on AI City Challenge, 2021. PDF
Xiao Hu, Ming-Ching Chang, Yuwei Chen and et al., “The 2020 Low-Power Computer Vision Challenge”, IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021. PDF
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu, “Robust Attentive Deep Neural Network for Exposing GAN-generated Faces”, arXiv 2109.02167, Sep. 2021.
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, “Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces”, arXiv 2109.00162, Sep. 2021.
Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Santanu Santra, Cheng-Han Chou, Chih-Sheng Huang, “MS-DARTS: Mean-Shift Based Differentiable Architecture Search”, arXiv 2108.09996, Aug, 2021.

2020 [top]

Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen, “Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection”, arXiv: 2012.01724, 2020.
Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang, “MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network”, Asian Conference on Computer Vision (ACCV), Kyoto, Japan, 2020. PDF
Yi Wei, Wenbo Li, Ming-Ching Chang, Hongxia Jin, Siwei Lyu, “Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection”, International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020. PDF
Ming-Ching Chang, Guangliang Zhao, Abhineet Kumar Pandey, Andrew Pulver, Peter Tu, “Railcar Detection, Identification and Tracking for Rail Yard Management”, IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020. PDF
Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Ming-Ching Chang, Chien-Yao Wang, Mark Hong-Yuan Liao, “Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections”, IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020. PDF
Ming-Ching Chang, Jun-Wei Hsieh, Chun-Ming Tsai, Zong-Yi Lin,
“Multi-Pass YOLOv3 for Scooter License Plate Detection and Recognition”, IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), Hsinchu, Taiwan, 2020, Best Paper Finalists with Award Certificate. PDF
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty, “The 4th AI City Challenge”, CVPR Workshop on AI City Challenge, Seattle, WA, 2020. PDF
Ming-Ching Chang, Chen-Kuo Chiang, Chun-Ming Tsai, Yun-Kai Chang, Hsuan-Lun Chiang, Yu-An Wang, Shih-Ya Chang, Yun-Lun Li, Ming-Shuin Tsai, Hung-Yu Tseng, “AI City Challenge 2020 - Computer Vision for Smart Transportation Applications”, CVPR Workshop on AI City Challenge, Seattle, WA, 2020. PDF
Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang, Yu-Chen Lin, “Driver License Field Detection Using Real-Time Deep Networks”, International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), Kitakyushu, Japan, 2020. PDF
Rui Wang, Ming-Ching Chang and Marleen Radigan, “Modeling Latent Comorbidity for Health Risk Prediction Using Graph Convolutional Network”, FLAIR-33, Miami, FL, USA, 2020. PDF
Ming-Ching Chang, Yi Wei, Wei-Ren Chen, Changwoo Do, “Deep Learning Based Super-Resolution for Small-Angle Neutron Scattering Data: Attempt to Accelerate Experimental Workflow”, MRS Communications, 2020. PDF
Yi Wei, Wenbo Li, Yanbo Fan, Linghan Xu, Ming-Ching Chang, Siwei Lyu, “3D Single-Person Concurrent Activity Detection Using Stacked Relation Network”, AAAI Conference on Artificial Intelligence (AAAI), New York, NY, USA, 2020 (Oral Presentation, acceptance rate 20.6%). PDF
Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu, “UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking”, Computer Vision and Image Understanding (CVIU), Elsevier, 2020. PDF

2019 [top]

Yang Zhao, Peter Tu, and Ming-Ching Chang, “Occupancy Sensing and Activity Recognition with Camera and Wireless Sensors”, 2nd Workshop on Data: Acquisition to Analysis, SenSys 2019. PDF
Yuezun Li, Longyin Wen, Ming-Ching Chang and Siwei Lyu, “Graph-to-Graph Energy Minimization for Video Object Segmentation”, International Conference on Advanced Video and Signal-based Surveillance (AVSS), Taipei, Taiwan, 2019 (Oral presentation, acceptance rate 16%). PDF Slides Poster Supplementary Demo
Yuezun Li, Xiao Bian, Ming-Ching Chang, Siwei Lyu, “Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches”, British Machine Vision Conference (BMVC), Cardiff, UK, 2019 (acceptance rate 28%). PDF Poster Supplementary
Ming-Ching Chang, Jiayi Wei, Zheng-An Zhu, Yan-Ming Chen, Chan-Shuo Hu, Ming-Xiu Jiang, Chen-Kuo Chiang, “AI City Challenge 2019 – City-Scale Video Analytics for Smart Transportation”, IEEE CVPR Workshop on the AI City Challenge, Long Beach, CA, USA, 2019. PDF Poster
Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu, “The 2019 AI City Challenge”, IEEE CVPR Workshop on the AI City Challenge, Long Beach, CA, USA, 2019. PDF
Yang Zhao, Ming-Ching Chang, and Peter Tu, “Deep Intelligent Network for Device-free People Tracking”, Intentional Conference on Cyber-Physical Systems (ICCPS), Montreal, Canada, 2019. PDF
Ming-Ching Chang, Yi Wei, Wei-Ren Chen, Changwoo Do, “Accelerating Neutron Scattering Data Collection and Experiments Using AI Deep Super-Resolution Learning”, arXiv 1904.08450, Apr. 2019. PDF
Xin Wang, Ming-Ching Chang, Siwei Lyu, “Efficient Algorithms for Graph Regularized PLSA”, Pattern Recognition, vol. 86, pp. 236--247, Feb. 2019. PDF
Ming-Ching Chang, Lipeng Ke, Honggang Qi, Longyin Wen, Siwei Lyu, “Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions”, IEEE Trans. On Cybernetics, pp. 1-14, 2019. PDF

2018 [top]

Siwei Lyu, Ming-Ching Chang, Dawei Du, Wenbo Li, Yi Wei, Marco Del Coco, Pierluigi Carcagni, et al., “UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring”, IEEE Advanced Video and Signal-based Surveillance (AVSS) Workshop, Auckland, New Zealand, 2018. PDF
Yuezun Li, Ming-Ching Chang, Siwei Lyu, “In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking”, IEEE International Workshop on Information Forensics and Security (WIFS), Hongkong, China, 2018. PDF Slides
Yuezun Li, Xiao Bian, Ming-Ching Chang, Longyin Wen, Siwei Lyu, “Pixel Offset Regression (POR) for Single-shot Instance Segmentation”, IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), Auckland, New Zealand, 2018. PDF
Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu, “Multi-Scale Structure-Aware Network for Human Pose Estimation”, European Conference on Computer Vision (ECCV), Munich, Germany, 2018. PDF Poster
Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu, “Universal Adversarial Perturbation on Deep Proposal-based Models”, British Machine Vision Conference (BMVC), Newcastle, UK, 2018. PDF Poster
Wenbo Li, Ming-Ching Chang, Siwei Lyu, “Who did What at Where and When: Simultaneous Multi-Person Tracking and Activity Recognition”, arXiv 1807.01253, 2018. PDF Video
Yuezun Li, Ming-Ching Chang, Siwei Lyu, “In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking”, arXiv 1806.02877, 2018. PDF Poster
Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu, “Multi-scale Supervised Network for Human Pose Estimation”, IEEE International Confernce on Image Processing (ICIP), Athens, Greece, 2018. PDF Slides
Yi Wei, Ming-Ching Chang, Yiming Ying, Sernam Lim, Siwei Lyu, “Explain Black-box Image Classification Using Superpixel-based Interpretation”, International Conference on Pattern Recognition (ICPR), Beijing, China, 2018. PDF Poster
Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellapa, Jenq-Neng Hwang, Siwei Lyu, “The NVIDIA AI City Challenge 2018”, IEEE CVPR Workshop on the NVIDIA AICity Challenge, Salt Lake City, UT, USA, 2018. PDF
Ming-Ching Chang, Yi Wei, Nenghui Song, Siwei Lyu, “Video Analytics in Smart Transportation for the AIC'18 Challenge”, IEEE CVPR Workshop on the NVIDIA AICity Challenge, Salt Lake City, UT, USA, 2018. PDF Poster
Lipeng Ke, Ming-Ching Chang, Honggong Qi, Siwei Lyu, “Multi-Scale Structure-Aware Network for Human Pose Estimation”, arXiv 1803.09894, Mar. 2018. Work is ranked #1 on the MPII benchmark in Mar. 2018 on the MPII Human Pose Benchmark, PDF, Youtube Demo
Ming-Ching Chang, Ting Yu, Jiajia Luo, Kun Duan, Peter Tu, Yang Zhao, Nandini Nagraj, Vrinda Rajiv, Michael Priebe, Elena Wood, and Max Stachura. “Multi-Modal Sensor System for Pressure Ulcer Wound Assessment and Care”, IEEE Transactions on Industrial Informatics (TII), special section on multisensor fusion and integration for intelligent systems, vol. 14, issue 3, pp. 1186-1196, March, 2018. (Impact factor 6.764) PDF

2017 [top]

Wenbo Li, Longyin Wen, Ming-Ching Chang, Ser nam Lim, and Siwei Lyu. “Adaptive RNN Tree for Large-Scale Human Action Recognition”, In IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017. (acceptance rate 29%) PDF Poster Dataset (168MB on Google Drive)
Ming-Ching Chang, Yi Yao, Li Guan, Yan Tong, and Peter Tu, “Cloud Tracking for Solar Irradiance Prediction”, IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017. PDF Poster
Ming-Ching Chang, Ting Yu, Kun Duan, Jiajia Luo, Peter Tu, Michael Priebe, Elena Wood, and Max Stachura, “In-Bed Patient Motion and Pose Analysis Using Depth Videos for Pressure Ulcer Prevention”, IEEE Conference on Image Processing (ICIP), Beijing, China, 2017. PDF Poster
Shengkun Li, Dawei Du, Longyin Wen, Ming-Ching Chang, and Siwei Lyu, “Hybrid Structure Hypergraph for Online Deformable Object Tracking”, IEEE Conference on Image Processing (ICIP), Beijing, China, 2017. PDF Slides Demo
Milind Naphade, David C. Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, and Zeyu Gao, “The NVIDIA AI City Challenge”, IEEE Smart World Congress, San Jose, CA, USA, 2017. PDF
Yi Wei, Nenghui Song, Lipeng Ke, Ming-Ching Chang, and Siwei Lyu, “Street Object Detection / Tracking for AI City Traffic Analysis”, IEEE Smart World Congress, San Jose, CA, USA, 2017. PDF Slides
Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagni, et al., “UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring”, IEEE Advanced Video and Signal-based Surveillance (AVSS), Lecce, Italy, 2017. PDF

2016 [top]

Longyin Wen, Zhen Lei, Ming-Ching Chang, Honggang Qi, and Siwei Lyu, “Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph”, International Journal of Computer Vision (IJCV), 122 (2), pp. 313-333, first online 2016/09. (Impact factor 8.222) Publisher Link PDF Demo
Xin Wang, Yiming Ying, Ming-Ching Chang, and Siwei Lyu, “Co-regularized PLSA For Multi-Modal Learning”, AAAI Conference on Artificial Intelligence (AAAI), Pheonix, AZ, USA, 2016. (acceptance rate 26%) PDF
Yueming Yang, Ming-Ching Chang, Longyin Wen, Peter Tu, Honggang Qi, and Siwei Lyu, “Efficient Large-scale Photometric Reconstruction Using Divide-Recon-Fuse 3D Structure from Motion”, in IEEE Advanced Video and Signal-based Surveillance (AVSS), Colorado Springs, CO, USA, 2016. PDF Slides
Peter Tu, Ming-Ching Chang, and Tao Gao, “Crowd Analytics via One Shot Learning and Agent Based Inference”, IEEE GlobalSIP Symposium on Signal Processing for Understanding Crowd Dynamics, Washington DC, USA, 2016. PDF

2015 [top]

Fiona M. Fennessy, Andriy Fedorov, Tobias Penzkofer, Kyung Won Kim, Michelle S. Hirsch, Mark G. Vangel, Paul Masry, Trevor A. Flood, Ming-Ching Chang, Clare M. Tempany, Robert V. Mulkern, and Sandeep N. Gupta, “Quantitative Pharmacokinetic Analysis of Prostate Cancer DCE-MRI at 3T: Comparison of Two Arterial Input Functions on Cancer Detection with Digitized Whole Mount Histopathological Validation”, 33 (7), pp. 886-894, Magnetic Resonance Imaging (MRI), Elsevier, 2015. PDF
Yelin Kim, Jixu Chen, Ming-Ching Chang, Xin Wang, Emily M. Provost, and Siwei Lyu, “Joint Event Localization and Classification of Human Action Videos with Event Transitions”, in IEEE International Conference on Automatic Face and Gesture Recognition (FG), Ljubljana, Slovenia, 2015. (acceptance rate 12%) PDF Slides
Ming-Ching Chang, Honggang Qi, Xin Wang, Hong Cheng, and Siwei Lyu, “Fast Online Upper Body Pose Estimation from Video”, in British Machine Vision Conference (BMVC), Swansea, England, 2015. (acceptance rate 33%) PDF Poster Demo
Yueming Yang, Ming-Ching Chang, and Siwei Lyu, “Seeing As It Happens: Real Time 3D Video Event Visualization”, in IEEE Conference on Image Processing (ICIP), Québec City, Canada, 2015. PDF
Jixu Chen, Ming-Ching Chang, Tai-Peng Tian, Ting Yu, and Peter Tu, “Bridging Computer Vision and Social Science: A Multi-Camera Vision System for Social Interaction Training Analysis”, IEEE International Conference on Image Processing (ICIP), Quebec City, Quebec, Canada, 2015. PDF
Peter Tu, A. Logan-Terry, J. Chen, G. Rubin, Ming-Ching Chang, J. Hockett, Ting Yu, T.-P. Tian, “Cross-Culture Training Analysis via Social Science and Computer Vision Methods”, International Conference on Applied Human Factors and Ergonomics (AHFE), Las Vegas, NV, USA, 2015. PDF
(as participating team), “The Visual Object Tracking VOT2015 challenge results”, in ICCV Workshop on Visual Object Tracking Challenge, Santiago, Chile, 2015. PDF
(as participating team), “The Visual Object Tracking VOTITR2015 challenge results”, in ICCV Workshop on Visual Object Tracking Challenge, Santiago, Chile, 2015. PDF
Andrew Pulver, Ming-Ching Chang, and Siwei Lyu, “Shot Segmentation and Grouping for PTZ Camera Videos”, in Annual Symposium on Information Assurance (ASIA), Albany, NY, USA, 2015. PDF
Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu, “DETRAC: A New Benchmark and Protocol for Multi-Object Tracking”, arXiv 1511.04136, Nov., 2015. PDF

2014 [top]

Wei Huang and Xin Li and Yiyi Chen and Xia Li and Ming-Ching Chang et al., “Variations of Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Evaluation of Breast Cancer Therapy Response: A Multicenter Data Analysis Challenge”, Translational Oncology, 7 (1), pp. 153-166, Feb. 2014. PDF
Wei Huang, Xin Li, Xia Li, Ming-Ching Chang, Matthew Oborski, Dariya Malyarenko, Mark Muzi, Guido Jajamovich, Andriy Fedorov, Yiyi Chen, Alina Tudorica, Sandeep N. Gupta, Charles Laymon, Kaymon Marro, Hadrien Dyvorne, James Miller, Thomas Chenevert, Thomas Yankeelov, James Mountz, Paul Kinahan, Ron Kikinis, Bachir Taouli, Fiona Fennessy, Jayashree Kalpathy-Cremer, “Variations in DCE-MRI Assessment of Breast Cancer Therapy Response: A Multicenter Data Analysis Challenge”, International Society for Magnetic Resonance in Medicine (ISMRM), 2014. PDF
Ming-Cing Chang, Jixu Chen, Tai-Peng Tian, Peter Tu, Ting Yu, “Social Interaction Analysis”, NSF/FBI/DARPA Workshop on Frontiers in Video and Image Analysis, Washington DC, USA, 2014.
Yueming Yang, Ming-Cing Chang, Siwei Lyu, and Peter Tu, “3D Video Visualization for Event Summarization”, Greater New York Area Multimedia and Vision Meeting (GNYMVM), New York, 2014. Poster
Peter Tu, Tai-Peng Tian, Ming-Cing Chang, Jixu Chen, and Ting Yu, “Social Interaction Analysis at a Distance”, Greater New York Area Multimedia and Vision Meeting (GNYMVM), New York, 2014. Poster

2013 [top]

Ming-Ching Chang, Sandeep N. Gupta, Laura I. Sacolick, Clare Tempany-Afhdal, Fiona Fenessey, Ehud Schmidt, “Improved T1 Mapping and DCE MRI Pharmokinetic Quantification for Prostate at 3T by Incorporating B1 Inhomogeneity Correction”, International Society for Magnetic Resonance in Medicine (ISMRM), 2013. PDF Poster
Raikesh Mullick, Sandeep N. Gupta, Dattesh Shanbhag, Ming-Ching Chang, Kumar Rajamani, Suresh Joel, “Spatial Information Based DCE-MRI Data Reconstruction and Analysis Using PCA”, International Society for Magnetic Resonance in Medicine (ISMRM), 2013. PDF Poster

2012 [top]

Yimeng Zhang, Xiaoming Liu, Ming-Ching Chang, Weina Ge, and Tsuhan Chen, “Spatio-Temporal Phrases for Activity Recognition”, European Conference on Computer Vision (ECCV), Firenze, Italy, Oct. 2012. (acceptance rate 25%) PDF Poster Slides Demo
Yimeng Zhang, Weina Ge, Ming-Ching Chang, and Xiaoming Liu, “Group-Level Context Learning for Event Recognition”, IEEE Workshop on Applications of Computer Vision (WACV), Best Student Paper Award, Breckenridge, Colorado, USA, Jan. 2012. (top 2 out of 63 accepted papers) PDF Slides
Ming-Ching Chang, Yimeng Zhang, Weina Ge, and Xiaoming Liu, “Group-Level Scenario Recognition”, Greater New York Area Multimedia and Vision Meeting (GNYMVM), New York, 2012. Poster

2011 [top]

Ming-Ching Chang and Benjamin B. Kimia, “Measuring 3D Shape Similarity by Graph-Based Matching of the Medial Scaffolds”, Computer Vision and Image Understanding (CVIU), Special Issue on 3D Imaging and Modeling (3DIM), Elsevier, 115 (5), pp. 707-720, May. 2011. PDF
Ming-Ching Chang, Nils Krahnstoever, and Weina Ge, “Probabilistic Group-Level Motion Analysis and Scenario Recognition”, IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011. (acceptance rate 23.7%) PDF Poster DemoVideo One-Page-Slide
Nils Krahnstoever, Ming-Ching Chang, and Weina Ge, “Gaze and Body Pose Estimation from a Distance”, IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Best Paper Award - Runner up, Klagenfurt, Austria, Aug. - Sep. 2011. (top 2 out of 81 accepted papers) PDF
Karthik Sankaranarayanan, Ming-Ching Chang, and Nils Krahnstoever, “Tracking Gaze Direction from Far-Field Surveillance Cameras”, IEEE Workshop on Applications of Computer Vision (WACV), Kona, Hawaii, USA, Jan. 2011. PDF Slides Poster
Yingxuan Zhu, Ming-Ching Chang, and Sandeep N. Gupta, “Automated Determination of Arterial Input Function for DCE-MRI of the Prostate”, SPIE Medical Imaging (Image Processing, Proceedings of SPIE), Orlando, FL, USA, Feb. 2011. PDF
Yingxuan Zhu, Ming-Ching Chang, Fiona M. Fennessy, and Sandeep N. Gupta, “Automatic Arterial Input Function Detection for Prostate Dynamic Contrast Enhanced MRI”, International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Quebec, Canada, May 2011. PDF Poster

2010 [top]

Frederic F. Leymarie, Ming-Ching Chang, Celina Imielinska, and Benjamin B. Kimia, “A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds”, Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), Leipzig, Germany, July 2010. PDF Slides
Ming-Ching Chang, Nils Krahnstoever, Sernam Lim, and Ting Yu, “Group Level Activity Recognition in Crowded Environments across Multiple Cameras”, Workshop on Activity Monitoring by Multi-Camera Surveillance Systems (AMMCSS) in conjunction with Advanced Video and Signal-Based Surveillance (AVSS), Boston, MA, USA, 2010. PDF Slides
Ming-Ching Chang and Xiaodong Tao, “Subvoxel Segmentation and Representation of Brain Cortex using Fuzzy Clustering and Gradient Vector Diffusion”, SPIE Medical Imaging (Image Processing, Proceedings of SPIE Volume 7623), San Diego, CA, USA, Feb. 2010. PDF Slides
Xiaodong Tao and Ming-Ching Chang, “A Skull Stripping Method Using Deformable Surface and Tissue Classification”, SPIE Medical Imaging (Image Processing, Proceedings of SPIE Volume 7623), San Diego, CA, USA, Feb. 2010. PDF Poster
Ming-Ching Chang, Nhon H. Trinh, Braden C. Fleming, and Benjamin B. Kimia, “Reliable Fusion of Knee Bone Laser Scans to Establish Ground Truth for Cartilage Thickness Measurement”, SPIE Medical Imaging (Image Processing, Proceedings of SPIE Volume 7623), San Diego, CA, USA, Feb. 2010. PDF Poster

2009 [top]

Ming-Ching Chang, Frederic F. Leymarie, and Benjamin B. Kimia, “Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold”, Computer Vision and Image Understanding (CVIU), Elsevier, Vol. 113, Issue 11, pp. 1130-1146, Nov. 2009. (Top 5 downloaded computer science articles in ScienceDirect during April-June 2009.) PDF
Ming-Ching Chang and Benjamin B. Kimia, “Measuring 3D Shape Similarity by Matching the Medial Scaffolds”, 3-D Digital Imaging and Modeling (3DIM) in conjunction with IEEE International Conference on Computer Vision (ICCV), Kyoto, Japan, pp. 1473-1480, Oct. 2009. (acceptance rate 45%) PDF Poster

2008 [top]

Ming-Ching Chang and Benjamin B. Kimia, “Regularizing 3D Medial Axis Using Medial Scaffold Transforms”, IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, 2008. (acceptance rate 32%) PDF Poster
Ming-Ching Chang, “The Medial Scaffold for 3D Shape Modeling and Recognition”, Ph.D. Dissertation, Division of Engineering, Brown University, Providence RI, Sept. 2008. PDF

2007 [top]

Ming-Ching Chang, Frederic F. Leymarie, and Benjamin B. Kimia, “Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold”, IEEE 3-D Digital Imaging and Modeling (3DIM), Montreal, Canada, pp.13-20, 2007. PDF Slides Poster

2004 [top]

Ming-Ching Chang, Frederic F. Leymarie, and Benjamin B. Kimia, “3D Shape Registration Using Regularized Medial Scaffolds”, IEEE 3D Data Processing, Visualization and Transmission (3DPVT), Thessaloniki, Greece, pp. 987-994, 2004. PDF Slides

2001 [top]

Ming-Ching Chang, Chiou-Shann Fuh, and Hsien-Yei Chen, “Fast Search Algorithms for Industrial Inspection”, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), World Scientific, Vol. 15, No. 4, pp. 675-690, 2001. PDF

1998 [top]

Ming-Ching Chang, Hsien-Yei, Chen, and Chiou-Shann Fuh, “Fast Search Algorithms for IC Printed Mark Quality Inspection”, IAPR Workshop on Machine Vision Applications (MVA), Chiba, Japan, pp. 183-188, 1998. PDF
Ming-Ching Chang, “Fast Search Algorithms for IC Printed Mark Quality Inspection”, Masters Dissertation, Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, 1998. PDF

1997 [top]

Ming-Ching Chang, Hsien-Yei Chen, and Chiou-Shann Fuh, “IC Printed Mark Quality Inspection Algorithms”, IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), Taichung, Taiwan, pp. 540-547, 1997. PDF

1994 [top]

Ming-Ching Chang, “ObjectWindows Programming: Principle and Practice”, 700 pages in Chinese Language, InfoWide Publisher Co., Ltd., ISBN 957-726-104-3, March 1994.