Ming-Ching Chang image

Ming-Ching Chang, Ph.D. [CV] [Google Scholar] [DBLP]
Ming-Ching Chang
Assistant Professor, Department of Electrical and Computer Engineering
College of Engineering and Applied Sciences
University at Albany, State University of New York
Phone: (518) 442-5085
Email: mchang2 AT albany DOT edu
Office: LI-090A, 1400 Western Avenue, Albany, NY 12222, USA
Lab: UA CVML lab

Publications by Years:

[2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2004 | 2001 | 1998 | 1997 | 1994]


2018 [top]

  1. 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, to appear, 2018. (Impact factor 6.764) PDF

2017 [top]

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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]

  1. 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, 2017. (Impact factor 8.222) Publisher Link PDF Demo

  2. 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

  3. 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

  4. Peter Tu, Ming-Cing 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]

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. (as participating team), “The Visual Object Tracking VOT2015 challenge results”, in ICCV Workshop on Visual Object Tracking Challenge, Santiago, Chile, 2015. PDF

  8. (as participating team), “The Visual Object Tracking VOTITR2015 challenge results”, in ICCV Workshop on Visual Object Tracking Challenge, Santiago, Chile, 2015. PDF

  9. 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


2014 [top]

  1. 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

  2. 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

  3. 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.

  4. 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

  5. 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]

  1. 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

  2. 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]

  1. 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

  2. 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

  3. 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]

  1. 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

  2. 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

  3. 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 paers) PDF

  4. 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

  5. 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

  6. 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]

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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]

  1. 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

  2. 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]

  1. 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

  2. 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]

  1. 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]

  1. 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]

  1. 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]

  1. 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

  2. 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]

  1. 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]

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