Dr. Ming-Ching Chang

I am an Associate Professor with tenure in the Department of Computer Science at the University at Albany, State University of New York. My research interests include video analytics, computer vision, image processing, and artificial intelligence.

Before joining UAlbany, I was a Computer Scientist at GE Global Research Center and an Assistant Researcher at the Industrial Technology Research Institute in Taiwan. I received my Ph.D. from Brown University, and my M.S. and B.S. degrees from National Taiwan University.

I lead research spanning intelligent video understanding, visual perception, and practical AI systems, with projects supported by government, industry, and academic partners.

Video Analytics Computer Vision Image Processing Artificial Intelligence

📝 Recent Publications with PDFs

Medical AI & Healthcare Analytics 3 selected papers
RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization MICCAI 2026

RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization

Ting Yu Tsai, An Yu, Lucy Lee, Felix X.-F. Ye, Damian S. Shin, Tzu-Jen Kao, Xin Li, and Ming-Ching Chang

Medical image analysisSeizure localizationBenchmark
PreClaim-GCT: Self-Supervised Graph-Transformer Pretraining for Incident Outcome Prediction from Healthcare Claims AIME 2026

PreClaim-GCT: Self-Supervised Graph-Transformer Pretraining for Incident Outcome Prediction from Healthcare Claims

Rui Wang, Ming-Ching Chang, and Emily Leckman-Westin

Healthcare claimsGraph transformersOutcome prediction
GC-CARE 2025

A Latent-Guided Hybrid Architecture for Liver Segmentation in Contrast-Enhanced MRI

Ting Yu Tsai, An Yu, Wenqi Li, and Ming-Ching Chang

Liver segmentationMRILatent representations
Multimodal Video Understanding 6 selected papers
SMART: Shot-Aware Multimodal Video Moment Retrieval with Audio-Enhanced MLLM IEEE TMM 2026

SMART: Shot-Aware Multimodal Video Moment Retrieval with Audio-Enhanced MLLM

An Yu, Weiheng Lu, Jian Li, Zhenfei Zhang, Yunhang Shen, Felix X.-F. Ye, and Ming-Ching Chang

Video moment retrievalMultimodal learningAudio
LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval ICPR 2026

LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval

Weiheng Lu, Jian Li, An Yu, and Ming-Ching Chang

Video moment retrievalMultimodal large language models
ECCV Workshop 2026

TRACE-TAR: Reusable Video Evidence and Shared Event Memory for Transportation Anomaly Reasoning

Abhineet Kumar Pandey, Ming-Ching Chang, and Jun-Wei Hsieh

Transportation anomaly reasoningVideo understanding
Detecting ATM Money Mule Activities via LVLM-Guided Forensic Analysis AVSS 2026

Detecting ATM Money Mule Activities via LVLM-Guided Forensic Analysis

Ni Xu and Ming-Ching Chang

Video forensicsMoney mule detectionVision-language models
FAVE: A Structured Benchmark for Fine-Grained Audio-Visual Temporal Evaluation in Multimodal LLMs CVPR 2026

FAVE: A Structured Benchmark for Fine-Grained Audio-Visual Temporal Evaluation in Multimodal LLMs

Weiheng Lu, An Yu, Jian Li, Zhenfei Zhang, Felix X.-F. Ye, and Ming-Ching Chang

Audio-visual evaluationMultimodal LLMsBenchmark
FE-DETRAC: An Infrastructure Fisheye Video Benchmark with Distortion-Aware Hybrid Data Association for Multi-Object Tracking IEEE Internet of Things Journal 2026

FE-DETRAC: An Infrastructure Fisheye Video Benchmark with Distortion-Aware Hybrid Data Association for Multi-Object Tracking

Chung-I Huang, Wei-Yu Chen, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Munkhjargal Gochoo, Chun-Ming Tsai, Hsiang-Wei Huang, Vincent S. Tseng, and Jenq-Neng Hwang

Fisheye videoMulti-object trackingBenchmark
Learning Systems & Industrial AI 3 selected papers
Bridging Design and Quality: A Technical Overview of IFMs in Manufacturing MIPR 2026

Bridging Design and Quality: A Technical Overview of IFMs in Manufacturing

Chih-Fan Hsu, Yung-Huei Chiou, Po-Han Huang, Yu-chi Liao, Shu Huei Yang, Jyun-Ze Tang, Yu-Lun Chang, and Ming-Ching Chang

Industrial foundation modelsSmart manufacturing
HiLD Workshop at ICML 2026

Causal Volterra Dynamics of Mamba

Ming-Ching Chang, Ting Yu Tsai, Davis Wertheimer, and Felix X.-F. Ye

State space modelsMambaLearning dynamics
FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU ICML 2026

FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU

Felix X.-F. Ye, Xingjie Li, An Yu, Ming-Ching Chang, Linsong Chu, and Davis Wertheimer

Optimal transportGPU computingSinkhorn
Trustworthy & Generative AI 3 selected papers
Uncertainty-Aware Proxy Attribute Reasoning for Reliable Media Bias Detection TrustNLP Workshop at ACL 2026

Uncertainty-Aware Proxy Attribute Reasoning for Reliable Media Bias Detection

Chin-Po Chen, Jeng-Lin Li, and Ming-Ching Chang

Media bias detectionUncertaintyLanguage models
How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions AAAI 2026

How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions

Jeng-Lin Li, Ming-Ching Chang, and Wei-Chao Chen

Generative AIBias measurementText-to-image models
LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text-to-Image Generation ICCV Workshop 2025

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text-to-Image Generation

Jyun-Ze Tang, Chih-Fan Hsu, Jeng-Lin Li, Ming-Ching Chang, and Wei-Chao Chen

Text-to-image generationDiffusion modelsFlow matching
Vision, Image Analysis & Forensics 3 selected papers
SoREL: Soft-Label Refurbishment with Ensemble Learning for Noisy Long-Tailed Classification CVPR Workshop 2026

SoREL: Soft-Label Refurbishment with Ensemble Learning for Noisy Long-Tailed Classification

Jun Wei Hsieh, Ying-Hsuan Wu, Yi-Kuan Hsieh, Xin Li, Kuan-Chuan Peng, and Ming-Ching Chang

Long-tailed classificationNoisy labelsEnsemble learning
Physics-Guided Exposure Parameter Estimation for Image Metadata Verification IEEE ISM 2025

Physics-Guided Exposure Parameter Estimation for Image Metadata Verification

Sharmilee Rajkumar Rajan, Ming-Ching Chang, and Pradeep K. Atrey

Image forensicsMetadata verificationExposure estimation
PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection WACV 2026

PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection

Po-Han Huang, Jeng-Lin Li, Po-Hsuan Huang, Ming-Ching Chang, and Wei-Chao Chen

Industrial anomaly detectionVisual prompting

📚 All Publications

Browse by research topic

Computer Vision & Machine Learning 68 publications
  1. Weight Group-wise Post-Training Quantization for Medical Foundation Model Y Chen, P Huang, A Zhang, H Guo, P Yin, S Hu, S Lin, X Li, TJ Kao, .... arXiv preprint arXiv:2604.07674, 2026 (2026).
  2. SILVA-Mamba: Spatial Integrity for Landslide Segmentation via Vectorized Hilbert Scanning and Adaptive Mamba YT Hsieh, JW Hsieh, CC Hsu, X Li, MC Chang. 2026 IEEE International Conference on Image Processing (ICIP), 1-6, 2026 (2026).
  3. ReDiPrune: Relevance-Diversity Pre-Projection Token Pruning for Efficient Multimodal LLMs A Yu, TY Tsai, Z Zhang, W Lu, FXF Ye, MC Chang. arXiv preprint arXiv:2603.24680, 2026 (2026).
  4. Partial Ring Scan: Revisiting Scan Order in Vision State Space Models YK Hsieh, KC Peng, MC Chang, YC Tseng, JW Hsieh. arXiv preprint arXiv:2602.04170, 2026 (2026).
  5. Optimization-Diverse Transformer Adaptation with Gated Heterogeneous Fusion for Robust Thermal Object Detection CM Tsai, JW Hsieh, MC Chang. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2026 (2026).
  6. 4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview B Kiefer, JL Augustin, J MuhoviÄŤ, M Jeong, A Wiliem, J Pers, M Kristan, .... arXiv preprint arXiv:2604.13244, 2026 (2026).
  7. Unsupervised domain adaptation for cross-style, cross-year land use understanding from historical maps JH Wang, ADY Wang, HM Liao, MC Chang, RTH Tsai. International Journal of Geographical Information Science 39 (8), 1750-1769, 2025 (2025).
  8. Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection JL Li, MC Chang, WC Chen. arXiv preprint arXiv:2508.17174, 2025 (2025).
  9. Scale-aware crowd counting network with annotation error modeling YK Hsieh, JW Hsieh, X Li, YM Zhang, YC Tseng, MC Chang. IEEE Transactions on Image Processing 34, 2750-2764, 2025 (2025).
  10. Robust defense against adversarial attacks with defensive preprocessing and adversarial training CY Lin, BH Lai, HF Ng, WY Lin, MC Chang. 2025 IEEE International Conference on Consumer Electronics (ICCE), 1-6, 2025 (2025).
  11. Rlministyler: Light-weight rl style agent for arbitrary sequential neural style generation J Hu, C Feng, S Hu, MC Chang, X Li, X Wu, X Wang. arXiv preprint arXiv:2505.04424, 2025 (2025).
  12. Open-set occluded person identification with mmWave radar T Wang, Y Zhao, MC Chang, J Liu. IEEE Transactions on Mobile Computing 24 (6), 5229-5244, 2025 (2025).
  13. Latent Orthogonal Perturbation: A Data Poisoning Approach to Prevent Unauthorized LoRA Fine-Tuning HB Tan, CY Fu, MC Chang, WC Chen. 2025 IEEE International Conference on Advanced Visual and Signal-Based …, 2025 (2025).
  14. Integrating manual preprocessing with automated feature extraction for improved rodent seizure classification A Yu, M Singh, A Pandey, E Dybas, A Agarwal, Y Kao, G Zhao, TJ Kao, .... Epilepsy & Behavior 165, 110306, 2025 (2025).
  15. Enhancing LLM Question Answering with RAG through Dense Vector Search and Re-Ranking TL Yang, JS Liu, YH Tseng, JS Jang, MC Chang, WC Chen. 2025 IEEE International Conference on Advanced Visual and Signal-Based …, 2025 (2025).
  16. Continual learning with synthetic boundary experience blending CF Hsu, MC Chang, WC Chen. arXiv e-prints, arXiv: 2507.23534, 2025 (2025).
  17. Continual Learning with Support Boundary Experience Blending CF Hsu, MC Chang, WC Chen. arXiv preprint arXiv:2507.23534, 2025 (2025).
  18. A comprehensive evaluation of encrypted DNN inference methods YT Ku, MC Ho, Y Xiao, FH Liu, CF Hsu, MC Chang, SH Hung, WC Chen. 2025 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2025 (2025).
  19. Uu-mamba: Uncertainty-aware u-mamba for cardiovascular segmentation TY Tsai, L Lin, S Hu, CW Tsao, X Li, MC Chang, H Zhu, X Wang. arXiv e-prints, arXiv: 2409.14305, 2024 (2024).
  20. Set-Nas: Sample-Efficient Training For Neural Architecture Search With Strong Predictor And Stratified Sampling YM Zhang, JW Hsieh, YH Chang, X Li, MC Chang, CC Lee, KC Fan. 2024 IEEE International Conference on Image Processing (ICIP), 680-686, 2024 (2024).
  21. Pushing the limit of fine-tuning for few-shot learning: where feature reusing meets cross-scale attention YY Chen, JW Hsieh, X Li, MC Chang. Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11434 …, 2024 (2024).
  22. NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation YC Wang, JW Hsieh, YK Hsieh, CW Chang. 2024 International Computer Symposium (ICS), 213-218, 2024 (2024).
  23. MOTE-NAS: Multi-objective training-based estimate for efficient neural architecture search YM Zhang, JW Hsieh, X Li, MC Chang, CC Lee, KC Fan. Advances in Neural Information Processing Systems 37, 100845-100869, 2024 (2024).
  24. Learning multi-manifold embedding for out-of-distribution detection JL Li, MC Chang, WC Chen. European Conference on Computer Vision, 417-433, 2024 (2024).
  25. Improving limited supervised foot ulcer segmentation using cross-domain augmentation SJ Kuo, PH Huang, CC Lin, JL Li, MC Chang. arXiv preprint arXiv:2401.08422, 2024 (2024).
  26. An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentation TY Tsai, L Gui, Y Chen, L Lin, S Hu, CW Tsao, X Li, S Lin, MC Chang, .... arXiv preprint arXiv:2409.14305, 2024 (2024).
  27. Addressing long-tail noisy label learning problems: a two-stage solution with label refurbishment considering label rarity YH Wu, JW Hsieh, L Xin, SY Teng, YK Hsieh, MC Chang. arXiv preprint arXiv:2403.02363, 2024 (2024).
  28. A comprehensive review of machine learning advances on data change: A cross-field perspective JL Li, CF Hsu, MC Chang, WC Chen. arXiv preprint arXiv:2402.12627, 2024 (2024).
  29. Scale-Aware Crowd Count Network with Annotation Error Correction YK Hsieh, JW Hsieh, YC Tseng, MC Chang, L Xin. arXiv preprint arXiv:2312.16771, 2023 (2023).
  30. Region-aware photo assurance system for image authentication KH Li, CF Hsu, MC Chang, FH Liu, SY Chien, WC Chen. 2023 IEEE 6th International Conference on Multimedia Information Processing …, 2023 (2023).
  31. Mean-Shift Based Differentiable Architecture Search J.-W. Hsieh and C.-H. Chou and M.-C. Chang and P.-Y. Chen and S. Santra and C.-S. Huang. IEEE Transactions on Artificial Intelligence 5 (3), 1235-1246, 2023 (2023).
  32. Fisheye8k: A benchmark and dataset for fisheye camera object detection M Gochoo, ME Otgonbold, E Ganbold, JW Hsieh, MC Chang, PY Chen, .... 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2023 (2023).
  33. Towards multimodal semantic consistency analysis of long form articles Y Chen, MC Chang. 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 (2022).
  34. Semi-supervised Learning for Topographic Map Analysis Over Time: a Study of Bridge Segmentation C.-S. Wong and H.-M. Liao and R. T.-H. Tsai and M.-C. Chang. Scientific Reports 12 (1), 18997, 2022 (2022).
  35. Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network YK Hsieh, JW Hsieh, YC Tseng, MC Chang, BS Wang. arXiv preprint arXiv:2211.06835, 2022 (2022).
  36. Pseudoprop: Robust pseudo-label generation for semi-supervised object detection in autonomous driving systems S Hu, CH Liu, J Dutta, MC Chang, S Lyu, N Ramakrishnan. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2022 (2022).
  37. On multimodal semantic consistency detection of news articles with image caption pairs Y Chen, MC Chang. 2022 IEEE International Conference on Consumer Electronics-Taiwan, 355-356, 2022 (2022).
  38. Mitigating Data Absence in Federated Learning Using Privacy-Controllable Data Digests CF Hsu, MC Chang, WC Chen. arXiv preprint arXiv:2210.00737, 2022 (2022).
  39. Instance contour adjustment via structure-driven CNN S Weng, Y Wei, MC Chang, B Shi. European Conference on Computer Vision, 146-161, 2022 (2022).
  40. FedTrust: Towards Building Secure Robust and Trustworthy Moderators for Federated Learning Chih-Fan Hsu and Jing-Lun Huang and Feng-Hao Liu and Ming-Ching Chang and Wei-Chao Chen. 2022 IEEE 5th international conference on multimedia information processing …, 2022 (2022).
  41. FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients. CF Hsu, MC Chang, WC Chen. CoRR, 2022 (2022).
  42. Class-Specific Channel Attention for Few-Shot Learning YY Chen, JW Hsieh, MC Chang. arXiv preprint arXiv:2209.01332, 2022 (2022).
  43. A Robust Collaborative Learning Framework Using Data Digests and Synonyms to Represent Absent Clients Chih-Fan Hsu and Ming-Ching Chang and Wei-Chao Chen. 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 (2022).
  44. Transrpn: Towards the transferable adversarial perturbations using region proposal networks and beyond Y Li, MC Chang, P Sun, H Qi, J Dong, S Lyu. Computer Vision and Image Understanding 213, 103302, 2021 (2021).
  45. The 2020 Low-Power Computer Vision Challenge Xiao Hu and Ming-Ching Chang and Yuwei Chen and et al.. 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 (2021).
  46. Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection Ping-Yang Chen and Ming-Ching Chang and Jun-Wei Hsieh and Yong-Sheng Chen. IEEE transactions on Image Processing 30, 9099-9111, 2021 (2021).
  47. MS-DARTS: Mean-shift based differentiable architecture search JW Hsieh, MC Chang, PY Chen, S Santra, CH Chou, CS Huang. arXiv preprint arXiv:2108.09996, 2021 (2021).
  48. Learnable discrete wavelet pooling (LDW-Pooling) for convolutional networks BS Wang, JW Hsieh, MC Chang, PY Chen, L Ke, S Lyu. arXiv preprint arXiv:2109.06638, 2021 (2021).
  49. MULTI-PASS YOLOV3 FOR SCOOTER LICENSE PLATE DETECTION AND RECOGNITION (Best paper candidate) MC Chang, JW Hsieh, CM Tsai, ZY Lin. The 33rd IPPR Conference On Computer Vision, Graphics, And Image Processing …, 2020 (2020).
  50. Robust adversarial perturbation on deep proposal-based models Y Li, D Tian, MC Chang, X Bian, S Lyu. arXiv preprint arXiv:1809.05962, 2018 (2018).
  51. Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches Yuezun Li and Xiao Bian and Ming-Ching Chang and Siwei Lyu. arXiv preprint arXiv:1809.05966, 2018 (2018).
  52. Explain Black-box Image Classifications Using Superpixel-based Interpretation Yi Wei and Ming-Ching Chang and Yiming Ying and Ser Nam Lim and Siwei Lyu. 2018 24th International Conference on Pattern Recognition (ICPR), 1640-1645, 2018 (2018).
  53. Adaptive RNN Tree for Large-Scale Human Action Recognition Wenbo Li and Longyin Wen and Ming-Ching Chang and Sernam Lim and Siwei Lyu. Proceedings of the IEEE international conference on computer vision, 1444-1452, 2017 (2017).
  54. Crowd Analytics via One Shot Learning and Agent Based Inference Peter Tu and Ming-Ching Chang and Tao Gao. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 (2016).
  55. Co-regularized PLSA For Multi-Modal Learning Xin Wang and Yiming Ying and Ming-Ching Chang and Siwei Lyu. Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 (2016).
  56. Bridging Computer Vision and Social Science: A Multi-Camera Vision System for Social Interaction Training Analysis Jixu Chen and Ming-Ching Chang and Tai-Peng Tian and Ting Yu and Peter Tu. 2015 IEEE International Conference on Image Processing (ICIP), 823-826, 2015 (2015).
  57. Probabilistic Group-Level Motion Analysis and Scenario Recognition Ming-Ching Chang and Nils Krahnstoever and Weina Ge. 2011 International Conference on Computer Vision, 747-754, 2011 (2011).
  58. Fast Search Algorithms for IC Printed Mark Quality Inspection Ming-Ching Chang and Hsien-Yei Chen and and Chiou-Shann Fuh. National Taiwan University Taipei, Taiwan, 1998 (1998).
  59. IC Printed Mark Quality Inspection Algorithms Ming-Ching Chang and Hsien-Yei Chen and and Chiou-Shann Fuh. Proc. Conf. Computer Vision, Graphics, Image Processing, Taichung, Taiwan …, 1997 (1997).
  60. UAlbany3D A Danko, Y Yang, MC Chang, S Lyu. ().
  61. PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems–Appendix S Hu, CH Liu, J Dutta, MC Chang, S Lyu, N Ramakrishnan. ().
  62. MIPR 2022 CF Hsu, MC Chang, C Henry, B Kathariya, MS Asif, SV Sheshappanavar, .... ().
  63. Cross-scale Patch-Attention with Prototype-guided Siamese Network for Effective Anomaly Detection JW Hsieh, TL Wang, YK Hsieh, MC Chang. Available at SSRN 7139006, 0 ().
  64. Counting Very Small Vehicles and Crowds in Uav Images Using Mdamdl Framework CM Tsai, JW Hsieh, MC Chang, PY Chen, GL He. Available at SSRN 4455947, 0 ().
  65. Andre Kaup, Friedrich-Alexander University Erlangen-NĂĽrnberg Changick Kim, Korea Advanced Institute of Science and Technology Serkan Kiranyaz, Qatar University A Achim, G Akar, S Asif, I Bajic, E Bas, AF Battisti, Y Berthoumieu, .... ().
  66. 2025 IEEE 8th International Conference on Multimedia Information Processing and Retrieval (MIPR)| 979-8-3315-9465-7/25/$31.00© 2025 IEEE| DOI: 10.1109/MIPR67560. 2025.00099 V Adzic, U Ahmad, M Ahtesham, S Allagi, J Alsakran, K Araki, OE Ashtiani, .... ().
  67. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR)| 979-8-3503-5142-2/24/$31.00© 2024 IEEE| DOI: 10.1109/MIPR62202. 2024.00119 SMR Abidi, V Abronin, M Abu-Shaira, JP Acilo, R Aguiar, M Agus, .... ().
  68. 2023 IEEE 6th International Conference on Multimedia Information Processing and Retrieval (MIPR)| 979-8-3503-0781-8/23/$31.00© 2023 IEEE| DOI: 10.1109/MIPR59079. 2023.00007 N Akbari, AA Almuzaini, A Ansari, S Arora, PK Atrey, NG Bach, .... ().
Patents & Technology Transfer 27 publications
  1. Training method for continual learning model and non-transitory computer-readable medium CF Hsu, WC Chen, MC Chang. US Patent App. 19/240,385, 2026 (2026).
  2. Method and system for reducing hallucinations generated by a large vision-language model JL Li, PH Huang, CP Chen, MC Chang, WC Chen. US Patent App. 19/240,587, 2026 (2026).
  3. Inference and conversion method for encrypted deep neural network model KU Yu-Te, CF Hsu, WC Chen, FH Liu, MC Chang, SH Hung. US Patent 12,634,116, 2026 (2026).
  4. Accelerated bootstrapping fully homomorphic encryption calculator, computing system, and operating method thereof Y HSIAO, KU Yu-Te, HO Ming-Chien, CF Hsu, MC Chang, WC Chen, .... US Patent App. 18/984,694, 2026 (2026).
  5. System for verifying edited image KH Li, CF Hsu, WC Chen, MC Chang, FH Liu. US Patent 12,430,472, 2025 (2025).
  6. Segmentation model training method, device, and non-transitory computer readable storage medium KUO Shang-Jui, PH Huang, CC Lin, JL Li, MC Chang, WC Chen. US Patent App. 18/418,329, 2025 (2025).
  7. Robust out-of-distribution detection system and method JL Li, WC Chen, MC Chang. US Patent App. 18/665,267, 2025 (2025).
  8. Operating system and method of a fully homomorphic encryption neural network model TL Liu, KU Yu-Te, HO Ming-Chien, CF Hsu, WC Chen, FH Liu, MC Chang, .... US Patent App. 18/545,775, 2025 (2025).
  9. Multi-manifold embedding learning method and system JL Li, WC Chen, MC Chang. US Patent App. 18/415,620, 2025 (2025).
  10. Method of training a model using data essence CF Hsu, WC Chen, MC Chang. US Patent App. 18/665,405, 2025 (2025).
  11. Method for verifying model update CF Hsu, WC Chen, JL Huang, MC Chang, FH Liu. US Patent 12,316,737, 2025 (2025).
  12. Method for machine learning model verification and transaction Y Te KU, Y Xiao, HO Ming-Chien, CF Hsu, WC Chen, FH Liu, MC Chang, .... US Patent App. 18/420,744, 2025 (2025).
  13. Machine learning training device, method, and non-transitory computer readable storage medium PH Huang, CC Lin, CF Hsu, MC Chang, WC Chen. US Patent App. 18/418,335, 2025 (2025).
  14. Federated learning system using synonym CF Hsu, WC Chen, MC Chang. US Patent 12,423,618, 2025 (2025).
  15. Device for executing machine learning model inference LAN Siang-Yu, CC Lin, KUO Shang-Jui, MC Chang, WC Chen. US Patent App. 18/818,563, 2025 (2025).
  16. Privacy computing method based on homomorphic encryption Y Te KU, CF Hsu, WC Chen, FH Liu, MC Chang. US Patent App. 18/171,319, 2024 (2024).
  17. Federated learning system and method of protecting data digest CF Hsu, WC Chen, MC Chang. US Patent App. 18/205,522, 2024 (2024).
  18. Fedrated learning system and method using data digest CF Hsu, WC Chen, MC Chang. US Patent App. 18/084,810, 2023 (2023).
  19. Federated learning method using synonym CF Hsu, WC Chen, MC Chang. US Patent App. 17/699,263, 2023 (2023).
  20. Three-dimensional modeling of an object EM Gros, J Ping, A Jain, MC Chang, PH Tu. US Patent 10,679,338, 2020 (2020).
  21. Image and video capture architecture for three-dimensional reconstruction MC Chang, J Ping, EM Gros, A Jain, PH Tu. US Patent 10,600,194, 2020 (2020).
  22. Systems and methods for analyzing time series data based on event transitions J Chen, PH Tu, MC Chang, Y Kim, S Lyu. US Patent 9,984,154, 2018 (2018).
  23. Apparatus and method for spatially relating views of sky images acquired at spaced apart locations L Guan, PH Tu, Y Yao, MC Chang. US Patent 8,750,566, 2014 (2014).
  24. Apparatus and method for predicting solar irradiance variation Y Yao, P Tu, MC Chang, L Guan, Y Tong. US Patent 8,923,567, 2014 (2014).
  25. Usage measurent techniques and systems for interactive advertising PH Tu, ML Grabb, X Liu, T Yu, Y Yao, D Gao, MC Chang. US Patent App. 13/308,386, 2013 (2013).
  26. Person tracking and interactive advertising NO Krahnstoever, PH Tu, MC Chang, W Ge. US Patent App. 13/221,896, 2013 (2013).
  27. Analytics-to-content interface for interactive advertising PH Tu, ML Grabb, X Liu, T Yu, Y Yao, D Gao, MC Chang. US Patent App. 13/308,376, 2013 (2013).
Video Analytics, Tracking & Transportation 62 publications
  1. The 10th AI city challenge Z Tang, S Wang, DC Anastasiu, MC Chang, A Sharma, Q Kong, .... arXiv preprint arXiv:2608.17044, 2026 (2026).
  2. Flashsinkhorn: Io-aware entropic optimal transport FXF Ye, X Li, A Yu, MC Chang, L Chu, D Wertheimer. arXiv e-prints, arXiv: 2602.03067, 2026 (2026).
  3. E4: Energy-efficient DNN inference for edge video analytics via early exiting and DVFS Z Zhang, Y Zhao, MC Chang, C Lin, J Liu. Proceedings of the AAAI Conference on Artificial Intelligence 39 (1), 1165-1173, 2025 (2025).
  4. BF-YOLOv7: Enhancing Helmet Rule Violation Detection CM Tsai, JW Hsieh, MC Chang. International Conference on Industrial, Engineering and Other Applications …, 2025 (2025).
  5. The 8th ai city challenge S Wang, DC Anastasiu, Z Tang, MC Chang, Y Yao, L Zheng, MS Rahman, .... 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2024 (2024).
  6. Text-driven synchronized diffusion video and audio talking head generation Z Zhang, TW Huang, GM Su, MC Chang, X Li. 2024 IEEE 7th International Conference on Multimedia Information Processing …, 2024 (2024).
  7. Smiletrack: Similarity learning for occlusion-aware multiple object tracking YH Wang, JW Hsieh, PY Chen, MC Chang, HH So, X Li. Proceedings of the AAAI conference on artificial intelligence 38 (6), 5740-5748, 2024 (2024).
  8. Image classification for historical documents: a study on Chinese local gazetteers JA Chen, JC Hou, RTH Tsai, HM Liao, SP Chen, MC Chang. Digital Scholarship in the Humanities 39 (1), 61-73, 2024 (2024).
  9. Dual-Phase Msqnet for Species-Specific Animal Activity Recognition A Yu, J Varghese, F Demirkiran, P Buonaiuto, X Li, MC Chang. 2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2024 (2024).
  10. Video analytics for detecting motorcyclist helmet rule violations CM Tsai, JW Hsieh, MC Chang, GL He, PY Chen, WT Chang, YK Hsieh. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2023 (2023).
  11. The 7th AI City Challenge Milind Naphade and Shuo Wang and David C. Anastasiu and Zheng Tang and Ming-Ching Chang and Yue Yao and Liang Zheng and Mohammed Shaiqur Rahman and Archana Venkatachalapathy and Anuj Sharma and Qi Feng and Vitaly Ablavky and Stan Sclaroff and Pranamesh Chakraborty and Alice Li and Shangru Li and Rama Chellappa. Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 (2023).
  12. Prb-fpn+: Video analytics for enforcing motorcycle helmet laws BS Wang, PY Chen, YK Hsieh, JW Hsieh, MC Chang, JX He, SY Teng, .... 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2023 (2023).
  13. Fisheye multiple object tracking by learning distortions without dewarping PY Chen, JW Hsieh, MC Chang, M Gochoo, FP Lin, YS Chen. 2023 IEEE International Conference on Image Processing (ICIP), 1855-1859, 2023 (2023).
  14. Simultaneous Multi-Person Tracking and Activity Recognition based on Cohesive Cluster Search W. Li and Y. Wei and S. Lyu and M.-C. Chang. Computer Vision and Image Understanding 214, 103301, 2022 (2022).
  15. DetPoseNet: Improving multi-person pose estimation via coarse-pose filtering L Ke, MC Chang, H Qi, S Lyu. IEEE Transactions on Image Processing 31, 2782-2795, 2022 (2022).
  16. Multi-Camera Tracking by Candidate Intersection Ratio Tracklet Matching Yun-Lun Li and Zhi-Yi Chin and Ming-Ching Chang and Chen-Kuo Chiang. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2021 (2021).
  17. FlagDetSeg: Multi-nation flag detection and segmentation in the wild SF Wu, MC Chang, S Lyu, CS Wong, AK Pandey, PC Su. 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 (2021).
  18. A video analytic system for rail crossing point protection G Zhao, AK Pandey, MC Chang, S Lyu. 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 (2021).
  19. UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking Longyin Wen and Dawei Du and Zhaowei Cai and Zhen Lei and Ming-Ching Chang and Honggang Qi and Jongwoo Lim and Ming-Hsuan Yang and Siwei Lyu. Computer Vision and Image Understanding 193, 102907, 2020 (2020).
  20. Railcar Detection, Identification and Tracking for Rail Yard Management Ming-Ching Chang and Guangliang Zhao and Abhineet Kumar Pandey and Andrew Pulver and Peter Tu. 2020 IEEE International Conference on Image Processing (ICIP), 2271-2275, 2020 (2020).
  21. Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection Yi Wei and Wenbo Li and Ming-Ching Chang and Hongxia Jin and Siwei Lyu. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 (2020).
  22. Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections Ping-Yang Chen and Jun-Wei Hsieh and Munkhjargal Gochoo and Ming-Ching Chang and Chien-Yao Wang and Mark Hong-Yuan Liao. 2020 IEEE International Conference on Image Processing (ICIP), 1521-1525, 2020 (2020).
  23. AI City Challenge 2020 - Computer Vision for Smart Transportation Applications Ming-Ching Chang and Chen-Kuo Chiang and Chun-Ming Tsai and Yun-Kai Chang and Hsuan-Lun Chiang and Yu-An Wang and Shih-Ya Chang and Yun-Lun Li and Ming-Shuin Tsai and Hung-Yu Tseng. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2020 (2020).
  24. 3D Single-Person Concurrent Activity Detection Using Stacked Relation Network Yi Wei and Wenbo Li and Yanbo Fan and Linghan Xu and Ming-Ching Chang and Siwei Lyu. Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12329 …, 2020 (2020).
  25. WIP abstract: Deep intelligent network for device-free people tracking Y Zhao, MC Chang, P Tu. ICCPS 2019-Proc. 2019 ACM/IEEE Int. Conf. Cyber-Physical Syst., 302-303, 2019 (2019).
  26. The 2019 AI City Challenge Milind Naphade and Zheng Tang and Ming-Ching Chang and et al.. CVPR workshops 8, 2, 2019 (2019).
  27. Occupancy sensing and activity recognition with cameras and wireless sensors Y Zhao, P Tu, MC Chang. Proceedings of the 2nd Workshop on Data Acquisition to Analysis, 1-6, 2019 (2019).
  28. Graph-to-Graph Energy Minimization for Video Object Segmentation Yuezun Li and Longyin Wen and Ming-Ching Chang and Siwei Lyu. 2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019 (2019).
  29. Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions Ming-Ching Chang and Lipeng Ke and Honggang Qi and Longyin Wen and Siwei Lyu. IEEE Transactions on Cybernetics 51 (1), 2-15, 2019 (2019).
  30. Deep intelligent network for device-free people tracking: WIP abstract Y Zhao, MC Chang, P Tu. Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical …, 2019 (2019).
  31. Deep Intelligent Network for Device-free People Tracking Yang Zhao and Ming-Ching Chang and Peter Tu. Intentional Conference on Cyber-Physical Systems (ICCPS) (2019).
  32. AI City Challenge 2019 -- City-Scale Video Analytics for Smart Transportation Ming-Ching Chang and Jiayi Wei and Zheng-An Zhu and Yan-Ming Chen and Chan-Shuo Hu and Ming-Xiu Jiang and Chen-Kuo Chiang. CVPR workshops, 99-108, 2019 (2019).
  33. Who did what at where and when: simultaneous multi-person tracking and activity recognition W Li, MC Chang, S Lyu. arXiv preprint arXiv:1807.01253, 2018 (2018).
  34. Video Analytics in Smart Transportation for the AIC'18 Challenge Ming-Ching Chang and Yi Wei and Nenghui Song and Siwei Lyu. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018 (2018).
  35. The 2018 nvidia ai city challenge M Naphade, MC Chang, A Sharma, DC Anastasiu, V Jagarlamudi, .... 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018 (2018).
  36. Pixel offset regression (por) for single-shot instance segmentation Y Li, X Bian, M Chang, L Wen, S Lyu. 2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018 (2018).
  37. Multi-Scale Structure-Aware Network for Human Pose Estimation Lipeng Ke and Ming-Ching Chang and Honggong Qi and Siwei Lyu. European Conference on Computer Vision, 731-746, 2018 (2018).
  38. In ictu oculi: Exposing AI generated fake face videos by detecting eye blinking. 2018 Y Li, MC Chang, S Lyu. arXiv preprint arXiv:1806.02877, 2018 (2018).
  39. In ictu oculi: Exposing ai created fake videos by detecting eye blinking Y Li, MC Chang, S Lyu. 2018 IEEE International workshop on information forensics and security (WIFS …, 2018 (2018).
  40. UA-DETRAC 2017: Report of AVSS2017 \& IWT4S Challenge on Advanced Traffic Monitoring Siwei Lyu and Ming-Ching Chang and Dawei Du and Longyin Wen and Honggang Qi and Yuezun Li and Yi Wei and Lipeng Ke and Tao Hu and Marco Del Coco and Pierluigi Carcagni and et al.. 2017 14th IEEE international conference on advanced video and signal based …, 2017 (2017).
  41. The NVIDIA AI City Challenge Milind Naphade and David C. Anastasiu and Anuj Sharma and Vamsi Jagrlamudi and Hyeran Jeon and Kaikai Liu and Ming-Ching Chang and Siwei Lyu and Zeyu Gao. 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 (2017).
  42. Street Object Detection / Tracking for AI City Traffic Analysis Yi Wei and Nenghui Song and Lipeng Ke and Ming-Ching Chang and Siwei Lyu. 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 (2017).
  43. Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph Longyin Wen and Zhen Lei and Ming-Ching Chang and Honggang Qi and Siwei Lyu. International Journal of Computer Vision 122 (2), 313-333, 2017 (2017).
  44. Hybrid Structure Hypergraph for Online Deformable Object Tracking Shengkun Li and Dawei Du and Longyin Wen and Ming-Ching Chang and Siwei Lyu. 2017 IEEE International Conference on Image Processing (ICIP), 1127-1131, 2017 (2017).
  45. Cloud Tracking for Solar Irradiance Prediction Ming-Ching Chang and Yi Yao and Li Guan and Yan Tong and Peter Tu. 2017 IEEE International Conference on Image Processing (ICIP), 4387-4391, 2017 (2017).
  46. Efficient large-scale photometric reconstruction using Divide-Recon-Fuse 3D Structure from Motion Y Yang, MC Chang, L Wen, P Tu, H Qi, S Lyu. 2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016 (2016).
  47. AVSS 2016 Message from the chairs T Boult, R Nevatia, S Velipasalar, V Ramesh, C Sanderson, MC Chang. 2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016 (2016).
  48. The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, .... Proceedings of the IEEE international conference on computer vision …, 2015 (2015).
  49. The thermal infrared visual object tracking VOT-TIR2015 challenge results M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, .... Proceedings of the ieee international conference on computer vision …, 2015 (2015).
  50. Shot Segmentation and Grouping for PTZ Camera Videos Andrew Pulver and Ming-Ching Chang and Siwei Lyu. 10th Annual Symposium on Information Assurance (ASIA’15), 34, 2015 (2015).
  51. Seeing as it Happens: Real time 3D Video Event Visualization Yueming Yang and Ming-Ching Chang and Peter Tu and Siwei Lyu. 2015 IEEE International Conference on Image Processing (ICIP), 2875-2879, 2015 (2015).
  52. Fast Online Upper Body Pose Estimation from Video Ming-Ching Chang and Honggang Qi and Xin Wang and Hong Cheng and Siwei Lyu. BMVC, 104.1-104.12, 2015 (2015).
  53. DETRAC: A new benchmark and protocol for multi-object tracking L Wen, D Du, Z Cai, Z Lei, M Chang, H Qi, J Lim, M Yang, S Lyu. arXiv preprint arXiv:1511.04136 2 (4), 7, 2015 (2015).
  54. A live video analytic system for affect analysis in public space J Chen, MC Chang, P Tu. 2015 11th IEEE International Conference and Workshops on Automatic Face and …, 2015 (2015).
  55. Spatio-Temporal Phrases for Activity Recognition Yimeng Zhang and Xiaoming Liu and Ming-Ching Chang and Weina Ge and Tsuhan Chen. European Conference on Computer Vision, 707-721, 2012 (2012).
  56. Tracking Gaze Direction from Far-Field Surveillance Cameras Karthik Sankaranarayanan and Ming-Ching Chang and Nils Krahnstoever. 2011 IEEE Workshop on Applications of Computer Vision (WACV), 519-526, 2011 (2011).
  57. Gaze and Body Pose Estimation from a Distance Nils Krahnstoever and Ming-Ching Chang and Weina Ge. 2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011 (2011).
  58. Group Level Activity Recognition in Crowded Environments across Multiple Cameras Ming-Ching Chang and Nils Krahnstoever and Sernam Lim and Ting Yu. 2010 7th IEEE International Conference on Advanced Video and Signal Based …, 2010 (2010).
  59. TRAFFIC ANALYSIS USING VISUAL OBJECT DETECTION AND TRACKING Y Wei, N Song, L Ke, MC Chang, S Lyu. ().
  60. Multi-Scale Structure Learning for Human Pose Estimation L Ke, MC Chang, H Qi, S Lyu. ().
  61. Diffusion Model for Text to Synchronized Joint Talking Head Video and Audio Generation Z Zhang, TW Huang, GM Su, MC Chang, X Li. ().
  62. CARTS: Cooperative Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction CR Tang, JW Hsieh, YK Hsieh, X Li, MC Chang. ().
Trustworthy AI & Media Forensics 21 publications
  1. Who brings the frisbee: Probing hidden hallucination factors in large vision-language model via causality analysis PH Huang, JL Li, CP Chen, MC Chang, WC Chen. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025 (2025).
  2. Training-free image manipulation localization using diffusion models Z Zhang, MC Chang, X Li. Proceedings of the AAAI Conference on Artificial Intelligence 39 (10), 10376 …, 2025 (2025).
  3. Spotting the fakes: A deep dive into GAN-generated face detection X Wang, TY Tsai, L Lin, H Guo, S Hu, MC Chang, PK Atrey, S Lyu. ACM Transactions on Multimedia Computing, Communications and Applications 21 …, 2025 (2025).
  4. A semantically impactful image manipulation dataset: Characterizing image manipulations using semantic significance Y Chen, MC Chang, M Kirchner, Z Zhang, X Li, A Basharat, A Hoogs. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025 (2025).
  5. Unveiling mesoscopic structures in distorted lamellar phases through deep learning-based small angle neutron scattering analysis CH Tung, YJ Hsiao, HL Chen, GR Huang, L Porcar, MC Chang, .... Journal of Colloid and Interface Science 659, 739-750, 2024 (2024).
  6. TextSleuth: a new dataset and baseline for scene text manipulation detection AK Pandey, MC Chang, X Li. 2024 IEEE 7th International Conference on Multimedia Information Processing …, 2024 (2024).
  7. Leveraging Semantic Segmentation for Image Manipulation Detection and Localization Y Chen, MC Chang, X Li. 2024 IEEE 7th International Conference on Multimedia Information Processing …, 2024 (2024).
  8. Learning With Instance-Dependent Noisy Labels By Anchor Hallucination And Hard Sample Label Correction PH Huang, CC Lin, CF Hsu, MC Chang, WC Chen. 2024 IEEE International Conference on Image Processing (ICIP), 901-907, 2024 (2024).
  9. Image manipulation detection with implicit neural representation and limited supervision Z Zhang, M Li, X Li, MC Chang, JW Hsieh. European Conference on Computer Vision, 255-273, 2024 (2024).
  10. A New Benchmark and Model for Challenging Image Manipulation Detection Zhenfei Zhang and Mingyang Li and Ming-Ching Chang. Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7405-7413, 2024 (2024).
  11. Using vocoder artifacts for audio deepfakes detection C Sun, E AlBadawy, TF Davison, SR Robinson, MC Chang, S Lyu. Adversarial Multimedia Forensics, 263-282, 2023 (2023).
  12. Gan-generated faces detection: A survey and new perspectives X Wang, H Guo, S Hu, MC Chang, S Lyu. ECAI 2023: 26th European Conference on Artificial Intelligence, September 30 …, 2023 (2023).
  13. Welcome Message from MIPR 2022 Organization Committee CCJ Kuo, K Nahrstedt, Y Rui, GM Su, MC Chang, A El Saddik, Y Tong, .... Proceedings-5th International Conference on Multimedia Information …, 2022 (2022).
  14. Robust attentive deep neural network for detecting gan-generated faces H Guo, S Hu, X Wang, MC Chang, S Lyu. Ieee Access 10, 32574-32583, 2022 (2022).
  15. Open-eye: An open platform to study human performance on identifying ai-synthesized faces H Guo, S Hu, X Wang, MC Chang, S Lyu. 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 (2022).
  16. Observation of attention mechanism baseline for pcb surface inspection system F Akhyar, L Novamizanti, MA Imaddudin, IH Pratama, SR Firmansyach, .... 2022 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), 1-6, 2022 (2022).
  17. Lightning YOLOv4 for a surface defect detection system for sawn lumber F Akhyar, L Novamizanti, T Putra, EN Furqon, MC Chang, CY Lin. 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 (2022).
  18. Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts E AlBadawy, C Sun, TF Davison, SR Robinson, MC Chang, S Lyu. Proceedings of the IEEE International Workshop on Information Forensics and …, 2022 (2022).
  19. Multi-Teacher Single-Student Visual Transformer with Multi-Level Attention for Face Spoofing Detection. YH Huang, JW Hsieh, MC Chang, L Ke, S Lyu, AS Santra. BMVC, 125, 2021 (2021).
  20. MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network Yi Wei and Zhe Gan and Wenbo Li and Siwei Lyu and Ming-Ching Chang and Lei Zhang and Jianfeng Gao and Pengchuan Zhang. Asian Conference on Computer Vision, 661-678, 2020 (2020).
  21. Modeling transition patterns between events for temporal human action segmentation and classification Y Kim, J Chen, MC Chang, X Wang, EM Provost, S Lyu. 2015 11th IEEE International Conference and Workshops on Automatic Face and …, 2015 (2015).
Industrial AI & Scientific Computing 19 publications
  1. Scattering-based structural inversion of soft materials via Kolmogorov–Arnold networks CH Tung, L Ding, MC Chang, GR Huang, L Porcar, Y Wang, JMY Carrillo, .... The Journal of Chemical Physics 162 (7), 2025 (2025).
  2. Optimizing Encrypted Neural Networks: Model Design, Quantization and Fine-Tuning Using FHEW/TFHE YT Ku, FH Liu, CF Hsu, MC Chang, SH Hung, IP Tu, WC Chen. Proceedings on Privacy Enhancing Technologies, 2025 (2025).
  3. Generative Kolmogorov-Arnold Network Architecture for Enhanced Quantative Small Angle Neutron Scattering Data Analysis CH Tung, WR Chen, C Do, L Ding, JMY Carrillo, BG Sumpter, MC Chang. APS Global Physics Summit 2025, 2025 (2025).
  4. PreAugNet: improve data augmentation for industrial defect classification with small-scale training data I Farady, CY Lin, MC Chang. Journal of Intelligent Manufacturing 35 (3), 1233-1246, 2024 (2024).
  5. Inferring effective electrostatic interaction of charge-stabilized colloids from scattering using deep learning CH Tung, MZ Chen, HL Chen, GR Huang, L Porcar, MC Chang, .... Applied Crystallography 57 (4), 1047-1058, 2024 (2024).
  6. Gpu acceleration for fhew/tfhe bootstrapping Y Xiao, FH Liu, YT Ku, MC Ho, CF Hsu, MC Chang, SH Hung, WC Chen. Ruhr-University of Bochum, 2024 (2024).
  7. Efficient design of FHEW/TFHE bootstrapping implementation with scalable parameters MC Ho, YT Ku, Y Xiao, FH Liu, CF Hsu, MC Chang, SH Hung, WC Chen. Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided …, 2024 (2024).
  8. Inferring Colloidal Interaction from Scattering by Machine Learning C.-H. Tung and S.-Y. Chang and M.-C. Chang and J.-M. Carrillo and B. G Sumpter and C. Do and W.-R. Chen. Carbon Trends 10, 100252, 2023 (2023).
  9. An efficient ckks-fhew/tfhe hybrid encrypted inference framework TL Liu, YT Ku, MC Ho, FH Liu, MC Chang, CF Hsu, WC Chen, SH Hung. European Symposium on Research in Computer Security, 535-551, 2023 (2023).
  10. A machine learning inversion scheme for determining interaction from scattering MC Chang, CH Tung, SY Chang, JM Carrillo, Y Wang, BG Sumpter, .... Communications Physics 5 (1), 46, 2022 (2022).
  11. A machine learning inversion scheme for determining effective interaction of charged colloidal suspensions using scattering CH Tung, MC Chang, SY Chang, JM Carrillo, Y Wang, B Sumpter, .... APS March Meeting Abstracts 2022, T31. 010, 2022 (2022).
  12. Driver License Field Detection Using Real-Time Deep Networks Chun-Ming Tsai and Jun-Wei Hsieh and Ming-Ching Chang and Yu-Chen Lin. International Conference on Industrial, Engineering and Other Applications …, 2020 (2020).
  13. Deep Learning Based Super-Resolution for Small-Angle Neutron Scattering Data: Attempt to Accelerate Experimental Workflow Ming-Ching Chang and Yi Wei and Wei-Ren Chen and Changwoo Do. MRS Communications 10 (1), 11-17, 2020 (2020).
  14. Accelerating neutron scattering data collection and experiments using AI deep super-resolution learning MC Chang, Y Wei, WR Chen, C Do. arXiv preprint arXiv:1904.08450, 2019 (2019).
  15. Cross-cultural training analysis via social science and computer vision methods P Tu, J Chen, MC Chang, T Yu, TP Tian, G Rubin, J Hockett, .... Procedia Manufacturing 3, 4068-4075, 2015 (2015).
  16. Fast Search Algorithms for Industrial Inspection Ming-Ching Chang and Chiou-Shann Fuh and Hsien-Yei Chen. International journal of pattern recognition and artificial intelligence 15 …, 2001 (2001).
  17. Supplementary Material: Instance Contour Adjustment via Structure-driven CNN S Weng, Y Wei, MC Chang, B Shi. ().
  18. Inferring Structure Factors of Charge Stabilized Colloids from Scattering Using Deep Learning CH Tung, HL Chen, MC Chang, JM Carrillo, BG Sumpter, C Do, WR Chen. ().
  19. Deeppvmap: Deep Photovoltaic Map for Efficient Segmentation of Solar Panels from Low-Resolution Aerial Imagery YH Wang, Y Cartus Bo-Xiang, HM Liao, MC Chang, R Tsai. Hsiung-Ming and Chang, Ming-Ching and Tsai, Richard, Tzong-Han, Deeppvmap …, 0 ().
Medical AI & Healthcare 15 publications
  1. IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification TY Tsai, A Yu, MS Maadugundu, IJ Mohima, UH Barsha, MHF Chen, .... 2025 IEEE 8th International Conference on Multimedia Information Processing …, 2025 (2025).
  2. Uu-mamba: uncertainty-aware u-mamba for cardiac image segmentation TY Tsai, L Lin, S Hu, MC Chang, H Zhu, X Wang. 2024 IEEE 7th International Conference on Multimedia Information Processing …, 2024 (2024).
  3. Modeling Latent Comorbidity for Health Risk Prediction Using Graph Convolutional Network. R Wang, MC Chang, M Radigan. FLAIRS, 341-346, 2020 (2020).
  4. Multi-Modal Sensor System for Pressure Ulcer Wound Assessment and Care Ming-Ching Chang and Ting Yu and Jiajia Luo and Kun Duan and Peter Tu and Yang Zhao and Nandini Nagraj and Vrinda Rajiv and Michael Priebe and Elena Wood and Max Stachura. IEEE Transactions on Industrial Informatics 14 (3), 1186-1196, 2017 (2017).
  5. In-Bed Patient Motion and Pose Analysis Using Depth Videos for Pressure Ulcer Prevention Ming-Ching Chang and Ting Yu and Kun Duan and Jiajia Luo and Peter Tu and Michael Priebe and Elena Wood and Max Stachura. 2017 IEEE International Conference on Image Processing (ICIP), 4118-4122, 2017 (2017).
  6. Quantitative pharmacokinetic analysis of prostate cancer DCE-MRI at 3 T: comparison of two arterial input functions on cancer detection with digitized whole mount … FM Fennessy, A Fedorov, T Penzkofer, KW Kim, MS Hirsch, MG Vangel, .... Magnetic resonance imaging 33 (7), 886-894, 2015 (2015).
  7. Variations of Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Evaluation of Breast Cancer Therapy Response: A Multicenter Data Analysis Challenge Wei Huang and Xin Li and Yiyi Chen and Xia Li and Ming-Ching Chang and Matthew J. Oborski and Dariya I. Malyarenko and Mark Muzi and Guido H. Jajamovich and Andriy Fedorov and Alina Tudorica and Sandeep N. Gupta and Charles M. Laymon and Kenneth I. Marro and Hadrien A. Dyvorne and James V. Miller and Daniel P. Barbodiak and Thomas L. Chenevert and Thomas E. Yankeelov and James M. Mountz and Paul E. Kinahan and Ron Kikinis and Bachir Taouli and Fiona Fennessy and Jayashree Kalpathy-Cramer. Translational oncology 7 (1), 153-166, 2014 (2014).
  8. Variations in DCE-MRI Assessment of Breast Cancer Therapy Response: A Multicenter Data Analysis Challenge W. Huang and X. Li and X. Li and M.-C. Chang and M. Oborski and D. Malyarenko and M. Muzi, G. Jajamovich and A. Fedorov and Y. Chen and A. Tudorica and S. Gupta and C. Laymon and K. Marro and H. Dyvorne and J. Miller and T. Chenevert and T. Yankeelov and J. Mountz and P. Kinahan and R. Kikinis and B. Taouli and F. Fennessy and J. Kalpathy-Cremer. Proc. Intl. Soc. Mag. Reson. Med 22, 0921, 2014 (2014).
  9. Spatial Information Based DCE-MRI Data Reconstruction and Analysis using PCA R. Mullick and S. Gupta and D. Shanbhag and M.-C. Chang and K. Rajamani and S. Joel. ISMRM (2013).
  10. Improved T1 mapping and DCE-MRI quantification for prostate at 3T by Incorporating B1 inhomogeneity correction MC Chang, SN Gupta, LI Sacolick, C Tempany-Afdhal, F Fennessy, .... ISMRM, Salt Lake city, USA 2199, 2013 (2013).
  11. Automatic Arterial Input Function Detection for Prostate Dynamic Contrast Enhanced MRI Yingxuan Zhu and Ming-Ching Chang and Fiona M. Fennessy and Sandeep N. Gupta. ISMRM (2011).
  12. Automated Determination of Arterial Input Function for DCE-MRI of the Prostate Yingxuan Zhu and Ming-Ching Chang and Sandeep N. Gupta. Medical Imaging 2011: Computer-Aided Diagnosis 7963, 266-273, 2011 (2011).
  13. Subvoxel Segmentation and Representation of Brain Cortex using Fuzzy Clustering and Gradient Vector Diffusion Ming-Ching Chang and Xiaodong Tao. Medical Imaging 2010: Image Processing 7623, 507-517, 2010 (2010).
  14. Reliable Fusion of Knee Bone Laser Scans to Establish Ground Truth for Cartilage Thickness Measurement Ming-Ching Chang and Nhon H. Trinh and Braden C. Fleming and Benjamin B. Kimia. Medical Imaging 2010: Image Processing 7623, 818-825, 2010 (2010).
  15. A Skull Stripping Method Using Deformable Surface and Tissue Classification Xiaodong Tao and Ming-Ching Chang. Medical Imaging 2010: Image Processing 7623, 1095-1102, 2010 (2010).
Generative AI & Multimodal Learning 9 publications
  1. Improving limited supervised foot ulcer segmentation using cross-domain augmentation strategies SJ Kuo, PH Huang, CC Lin, JL Li, MC Chang. ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 (2024).
  2. Two-stage dual augmentation with clip for improved text-to-sketch synthesis Z Zhang, MC Chang. 2023 IEEE 6th International Conference on Multimedia Information Processing …, 2023 (2023).
  3. Transformer Based Image-Text Consistency Analysis for Infographic Articles Y Chen, MC Chang. 2023 IEEE 6th International Conference on Multimedia Information Processing …, 2023 (2023).
  4. Mixnet: toward accurate detection of challenging scene text in the wild YX Zeng, JW Hsieh, X Li, MC Chang. arXiv preprint arXiv:2308.12817, 2023 (2023).
  5. Vocbench: A neural vocoder benchmark for speech synthesis EA AlBadawy, A Gibiansky, Q He, J Wu, MC Chang, S Lyu. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 (2022).
  6. Text-image de-contextualization detection using vision-language models M Huang, S Jia, MC Chang, S Lyu. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 (2022).
  7. Improving class activation map for weakly supervised object localization Z Zhang, MC Chang, TD Bui. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 (2022).
  8. Efficient algorithms for graph regularized PLSA for probabilistic topic modeling X Wang, MC Chang, L Wang, S Lyu. Pattern Recognition 86, 236-247, 2019 (2019).
  9. Group context learning for event recognition Y Zhang, W Ge, MC Chang, X Liu. 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 249-255, 2012 (2012).
3D Vision & Geometry 10 publications
  1. Eyes tell all: Irregular pupil shapes reveal gan-generated faces H Guo, S Hu, X Wang, MC Chang, S Lyu. ICASSP 2022-2022 IEEE international conference on acoustics, speech and …, 2022 (2022).
  2. Measuring 3D Shape Similarity by Graph-Based Matching of the Medial Scaffolds Ming-Ching Chang and Benjamin B. Kimia. Computer Vision and Image Understanding 115 (5), 707-720, 2011 (2011).
  3. A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds Frederic F. Leymarie and Ming-Ching Chang and Celina Imielinska and Benjamin B. Kimia. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) (2010).
  4. The medial scaffold for three-dimensional shape modeling and recognition MC Chang. Brown University, 2009 (2009).
  5. Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold Ming-Ching Chang and Frederic F. Leymarie and Benjamin B. Kimia. Computer Vision and Image Understanding 113 (11), 1130-1146, 2009 (2009).
  6. Measuring 3D Shape Similarity by Matching the Medial Scaffolds Ming-Ching Chang and Benjamin B. Kimia. 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 (2009).
  7. The Medial Scaffold for 3D Shape Modeling and Recognition Ming-Ching Chang. PhD thesis, 2008 (2008).
  8. Regularizing 3D Medial Axis Using Medial Scaffold Transforms Ming-Ching Chang and Benjamin B. Kimia. 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 (2008).
  9. Shape Registration using Regularized Medial Scaffolds FF Leymarie, M Chang, BB Kimia. (2004).
  10. 3D Shape Registration using Regularized Medial Scaffolds Ming-Ching Chang and F. Leymarie and B. Kimia. Proceedings. 2nd International Symposium on 3D Data Processing …, 2004 (2004).

Browse by year

The complete publication record is generated from the canonical chang.bib database. Search by title, author, venue, or year; for example, Siwei, Jun-Wei, inspect, or AVSS.

2026 8 papers
  1. Weight Group-wise Post-Training Quantization for Medical Foundation Model Y Chen, P Huang, A Zhang, H Guo, P Yin, S Hu, S Lin, X Li, TJ Kao, .... arXiv preprint arXiv:2604.07674, 2026 (2026).
  2. The 10th AI city challenge Z Tang, S Wang, DC Anastasiu, MC Chang, A Sharma, Q Kong, .... arXiv preprint arXiv:2608.17044, 2026 (2026).
  3. SILVA-Mamba: Spatial Integrity for Landslide Segmentation via Vectorized Hilbert Scanning and Adaptive Mamba YT Hsieh, JW Hsieh, CC Hsu, X Li, MC Chang. 2026 IEEE International Conference on Image Processing (ICIP), 1-6, 2026 (2026).
  4. ReDiPrune: Relevance-Diversity Pre-Projection Token Pruning for Efficient Multimodal LLMs A Yu, TY Tsai, Z Zhang, W Lu, FXF Ye, MC Chang. arXiv preprint arXiv:2603.24680, 2026 (2026).
  5. Partial Ring Scan: Revisiting Scan Order in Vision State Space Models YK Hsieh, KC Peng, MC Chang, YC Tseng, JW Hsieh. arXiv preprint arXiv:2602.04170, 2026 (2026).
  6. Optimization-Diverse Transformer Adaptation with Gated Heterogeneous Fusion for Robust Thermal Object Detection CM Tsai, JW Hsieh, MC Chang. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2026 (2026).
  7. Flashsinkhorn: Io-aware entropic optimal transport FXF Ye, X Li, A Yu, MC Chang, L Chu, D Wertheimer. arXiv e-prints, arXiv: 2602.03067, 2026 (2026).
  8. 4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview B Kiefer, JL Augustin, J MuhoviÄŤ, M Jeong, A Wiliem, J Pers, M Kristan, .... arXiv preprint arXiv:2604.13244, 2026 (2026).
2025 22 papers
  1. Who brings the frisbee: Probing hidden hallucination factors in large vision-language model via causality analysis PH Huang, JL Li, CP Chen, MC Chang, WC Chen. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025 (2025).
  2. Unsupervised domain adaptation for cross-style, cross-year land use understanding from historical maps JH Wang, ADY Wang, HM Liao, MC Chang, RTH Tsai. International Journal of Geographical Information Science 39 (8), 1750-1769, 2025 (2025).
  3. Training-free image manipulation localization using diffusion models Z Zhang, MC Chang, X Li. Proceedings of the AAAI Conference on Artificial Intelligence 39 (10), 10376 …, 2025 (2025).
  4. Spotting the fakes: A deep dive into GAN-generated face detection X Wang, TY Tsai, L Lin, H Guo, S Hu, MC Chang, PK Atrey, S Lyu. ACM Transactions on Multimedia Computing, Communications and Applications 21 …, 2025 (2025).
  5. Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection JL Li, MC Chang, WC Chen. arXiv preprint arXiv:2508.17174, 2025 (2025).
  6. Scattering-based structural inversion of soft materials via Kolmogorov–Arnold networks CH Tung, L Ding, MC Chang, GR Huang, L Porcar, Y Wang, JMY Carrillo, .... The Journal of Chemical Physics 162 (7), 2025 (2025).
  7. Scale-aware crowd counting network with annotation error modeling YK Hsieh, JW Hsieh, X Li, YM Zhang, YC Tseng, MC Chang. IEEE Transactions on Image Processing 34, 2750-2764, 2025 (2025).
  8. Robust defense against adversarial attacks with defensive preprocessing and adversarial training CY Lin, BH Lai, HF Ng, WY Lin, MC Chang. 2025 IEEE International Conference on Consumer Electronics (ICCE), 1-6, 2025 (2025).
  9. Rlministyler: Light-weight rl style agent for arbitrary sequential neural style generation J Hu, C Feng, S Hu, MC Chang, X Li, X Wu, X Wang. arXiv preprint arXiv:2505.04424, 2025 (2025).
  10. Optimizing Encrypted Neural Networks: Model Design, Quantization and Fine-Tuning Using FHEW/TFHE YT Ku, FH Liu, CF Hsu, MC Chang, SH Hung, IP Tu, WC Chen. Proceedings on Privacy Enhancing Technologies, 2025 (2025).
  11. Open-set occluded person identification with mmWave radar T Wang, Y Zhao, MC Chang, J Liu. IEEE Transactions on Mobile Computing 24 (6), 5229-5244, 2025 (2025).
  12. Latent Orthogonal Perturbation: A Data Poisoning Approach to Prevent Unauthorized LoRA Fine-Tuning HB Tan, CY Fu, MC Chang, WC Chen. 2025 IEEE International Conference on Advanced Visual and Signal-Based …, 2025 (2025).
  13. IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification TY Tsai, A Yu, MS Maadugundu, IJ Mohima, UH Barsha, MHF Chen, .... 2025 IEEE 8th International Conference on Multimedia Information Processing …, 2025 (2025).
  14. Integrating manual preprocessing with automated feature extraction for improved rodent seizure classification A Yu, M Singh, A Pandey, E Dybas, A Agarwal, Y Kao, G Zhao, TJ Kao, .... Epilepsy & Behavior 165, 110306, 2025 (2025).
  15. Generative Kolmogorov-Arnold Network Architecture for Enhanced Quantative Small Angle Neutron Scattering Data Analysis CH Tung, WR Chen, C Do, L Ding, JMY Carrillo, BG Sumpter, MC Chang. APS Global Physics Summit 2025, 2025 (2025).
  16. Enhancing LLM Question Answering with RAG through Dense Vector Search and Re-Ranking TL Yang, JS Liu, YH Tseng, JS Jang, MC Chang, WC Chen. 2025 IEEE International Conference on Advanced Visual and Signal-Based …, 2025 (2025).
  17. E4: Energy-efficient DNN inference for edge video analytics via early exiting and DVFS Z Zhang, Y Zhao, MC Chang, C Lin, J Liu. Proceedings of the AAAI Conference on Artificial Intelligence 39 (1), 1165-1173, 2025 (2025).
  18. Continual learning with synthetic boundary experience blending CF Hsu, MC Chang, WC Chen. arXiv e-prints, arXiv: 2507.23534, 2025 (2025).
  19. Continual Learning with Support Boundary Experience Blending CF Hsu, MC Chang, WC Chen. arXiv preprint arXiv:2507.23534, 2025 (2025).
  20. BF-YOLOv7: Enhancing Helmet Rule Violation Detection CM Tsai, JW Hsieh, MC Chang. International Conference on Industrial, Engineering and Other Applications …, 2025 (2025).
  21. A semantically impactful image manipulation dataset: Characterizing image manipulations using semantic significance Y Chen, MC Chang, M Kirchner, Z Zhang, X Li, A Basharat, A Hoogs. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025 (2025).
  22. A comprehensive evaluation of encrypted DNN inference methods YT Ku, MC Ho, Y Xiao, FH Liu, CF Hsu, MC Chang, SH Hung, WC Chen. 2025 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2025 (2025).
2024 27 papers
  1. Uu-mamba: Uncertainty-aware u-mamba for cardiovascular segmentation TY Tsai, L Lin, S Hu, CW Tsao, X Li, MC Chang, H Zhu, X Wang. arXiv e-prints, arXiv: 2409.14305, 2024 (2024).
  2. Uu-mamba: uncertainty-aware u-mamba for cardiac image segmentation TY Tsai, L Lin, S Hu, MC Chang, H Zhu, X Wang. 2024 IEEE 7th International Conference on Multimedia Information Processing …, 2024 (2024).
  3. Unveiling mesoscopic structures in distorted lamellar phases through deep learning-based small angle neutron scattering analysis CH Tung, YJ Hsiao, HL Chen, GR Huang, L Porcar, MC Chang, .... Journal of Colloid and Interface Science 659, 739-750, 2024 (2024).
  4. The 8th ai city challenge S Wang, DC Anastasiu, Z Tang, MC Chang, Y Yao, L Zheng, MS Rahman, .... 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2024 (2024).
  5. TextSleuth: a new dataset and baseline for scene text manipulation detection AK Pandey, MC Chang, X Li. 2024 IEEE 7th International Conference on Multimedia Information Processing …, 2024 (2024).
  6. Text-driven synchronized diffusion video and audio talking head generation Z Zhang, TW Huang, GM Su, MC Chang, X Li. 2024 IEEE 7th International Conference on Multimedia Information Processing …, 2024 (2024).
  7. Smiletrack: Similarity learning for occlusion-aware multiple object tracking YH Wang, JW Hsieh, PY Chen, MC Chang, HH So, X Li. Proceedings of the AAAI conference on artificial intelligence 38 (6), 5740-5748, 2024 (2024).
  8. Set-Nas: Sample-Efficient Training For Neural Architecture Search With Strong Predictor And Stratified Sampling YM Zhang, JW Hsieh, YH Chang, X Li, MC Chang, CC Lee, KC Fan. 2024 IEEE International Conference on Image Processing (ICIP), 680-686, 2024 (2024).
  9. Pushing the limit of fine-tuning for few-shot learning: where feature reusing meets cross-scale attention YY Chen, JW Hsieh, X Li, MC Chang. Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11434 …, 2024 (2024).
  10. PreAugNet: improve data augmentation for industrial defect classification with small-scale training data I Farady, CY Lin, MC Chang. Journal of Intelligent Manufacturing 35 (3), 1233-1246, 2024 (2024).
  11. NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation YC Wang, JW Hsieh, YK Hsieh, CW Chang. 2024 International Computer Symposium (ICS), 213-218, 2024 (2024).
  12. MOTE-NAS: Multi-objective training-based estimate for efficient neural architecture search YM Zhang, JW Hsieh, X Li, MC Chang, CC Lee, KC Fan. Advances in Neural Information Processing Systems 37, 100845-100869, 2024 (2024).
  13. Leveraging Semantic Segmentation for Image Manipulation Detection and Localization Y Chen, MC Chang, X Li. 2024 IEEE 7th International Conference on Multimedia Information Processing …, 2024 (2024).
  14. Learning With Instance-Dependent Noisy Labels By Anchor Hallucination And Hard Sample Label Correction PH Huang, CC Lin, CF Hsu, MC Chang, WC Chen. 2024 IEEE International Conference on Image Processing (ICIP), 901-907, 2024 (2024).
  15. Learning multi-manifold embedding for out-of-distribution detection JL Li, MC Chang, WC Chen. European Conference on Computer Vision, 417-433, 2024 (2024).
  16. Inferring effective electrostatic interaction of charge-stabilized colloids from scattering using deep learning CH Tung, MZ Chen, HL Chen, GR Huang, L Porcar, MC Chang, .... Applied Crystallography 57 (4), 1047-1058, 2024 (2024).
  17. Improving limited supervised foot ulcer segmentation using cross-domain augmentation strategies SJ Kuo, PH Huang, CC Lin, JL Li, MC Chang. ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 (2024).
  18. Improving limited supervised foot ulcer segmentation using cross-domain augmentation SJ Kuo, PH Huang, CC Lin, JL Li, MC Chang. arXiv preprint arXiv:2401.08422, 2024 (2024).
  19. Image manipulation detection with implicit neural representation and limited supervision Z Zhang, M Li, X Li, MC Chang, JW Hsieh. European Conference on Computer Vision, 255-273, 2024 (2024).
  20. Image classification for historical documents: a study on Chinese local gazetteers JA Chen, JC Hou, RTH Tsai, HM Liao, SP Chen, MC Chang. Digital Scholarship in the Humanities 39 (1), 61-73, 2024 (2024).
  21. Gpu acceleration for fhew/tfhe bootstrapping Y Xiao, FH Liu, YT Ku, MC Ho, CF Hsu, MC Chang, SH Hung, WC Chen. Ruhr-University of Bochum, 2024 (2024).
  22. Efficient design of FHEW/TFHE bootstrapping implementation with scalable parameters MC Ho, YT Ku, Y Xiao, FH Liu, CF Hsu, MC Chang, SH Hung, WC Chen. Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided …, 2024 (2024).
  23. Dual-Phase Msqnet for Species-Specific Animal Activity Recognition A Yu, J Varghese, F Demirkiran, P Buonaiuto, X Li, MC Chang. 2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2024 (2024).
  24. An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentation TY Tsai, L Gui, Y Chen, L Lin, S Hu, CW Tsao, X Li, S Lin, MC Chang, .... arXiv preprint arXiv:2409.14305, 2024 (2024).
  25. Addressing long-tail noisy label learning problems: a two-stage solution with label refurbishment considering label rarity YH Wu, JW Hsieh, L Xin, SY Teng, YK Hsieh, MC Chang. arXiv preprint arXiv:2403.02363, 2024 (2024).
  26. A New Benchmark and Model for Challenging Image Manipulation Detection Zhenfei Zhang and Mingyang Li and Ming-Ching Chang. Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7405-7413, 2024 (2024).
  27. A comprehensive review of machine learning advances on data change: A cross-field perspective JL Li, CF Hsu, MC Chang, WC Chen. arXiv preprint arXiv:2402.12627, 2024 (2024).
2023 15 papers
  1. Video analytics for detecting motorcyclist helmet rule violations CM Tsai, JW Hsieh, MC Chang, GL He, PY Chen, WT Chang, YK Hsieh. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2023 (2023).
  2. Using vocoder artifacts for audio deepfakes detection C Sun, E AlBadawy, TF Davison, SR Robinson, MC Chang, S Lyu. Adversarial Multimedia Forensics, 263-282, 2023 (2023).
  3. Two-stage dual augmentation with clip for improved text-to-sketch synthesis Z Zhang, MC Chang. 2023 IEEE 6th International Conference on Multimedia Information Processing …, 2023 (2023).
  4. Transformer Based Image-Text Consistency Analysis for Infographic Articles Y Chen, MC Chang. 2023 IEEE 6th International Conference on Multimedia Information Processing …, 2023 (2023).
  5. The 7th AI City Challenge Milind Naphade and Shuo Wang and David C. Anastasiu and Zheng Tang and Ming-Ching Chang and Yue Yao and Liang Zheng and Mohammed Shaiqur Rahman and Archana Venkatachalapathy and Anuj Sharma and Qi Feng and Vitaly Ablavky and Stan Sclaroff and Pranamesh Chakraborty and Alice Li and Shangru Li and Rama Chellappa. Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 (2023).
  6. Scale-Aware Crowd Count Network with Annotation Error Correction YK Hsieh, JW Hsieh, YC Tseng, MC Chang, L Xin. arXiv preprint arXiv:2312.16771, 2023 (2023).
  7. Region-aware photo assurance system for image authentication KH Li, CF Hsu, MC Chang, FH Liu, SY Chien, WC Chen. 2023 IEEE 6th International Conference on Multimedia Information Processing …, 2023 (2023).
  8. Prb-fpn+: Video analytics for enforcing motorcycle helmet laws BS Wang, PY Chen, YK Hsieh, JW Hsieh, MC Chang, JX He, SY Teng, .... 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2023 (2023).
  9. Mixnet: toward accurate detection of challenging scene text in the wild YX Zeng, JW Hsieh, X Li, MC Chang. arXiv preprint arXiv:2308.12817, 2023 (2023).
  10. Mean-Shift Based Differentiable Architecture Search J.-W. Hsieh and C.-H. Chou and M.-C. Chang and P.-Y. Chen and S. Santra and C.-S. Huang. IEEE Transactions on Artificial Intelligence 5 (3), 1235-1246, 2023 (2023).
  11. Inferring Colloidal Interaction from Scattering by Machine Learning C.-H. Tung and S.-Y. Chang and M.-C. Chang and J.-M. Carrillo and B. G Sumpter and C. Do and W.-R. Chen. Carbon Trends 10, 100252, 2023 (2023).
  12. Gan-generated faces detection: A survey and new perspectives X Wang, H Guo, S Hu, MC Chang, S Lyu. ECAI 2023: 26th European Conference on Artificial Intelligence, September 30 …, 2023 (2023).
  13. Fisheye8k: A benchmark and dataset for fisheye camera object detection M Gochoo, ME Otgonbold, E Ganbold, JW Hsieh, MC Chang, PY Chen, .... 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2023 (2023).
  14. Fisheye multiple object tracking by learning distortions without dewarping PY Chen, JW Hsieh, MC Chang, M Gochoo, FP Lin, YS Chen. 2023 IEEE International Conference on Image Processing (ICIP), 1855-1859, 2023 (2023).
  15. An efficient ckks-fhew/tfhe hybrid encrypted inference framework TL Liu, YT Ku, MC Ho, FH Liu, MC Chang, CF Hsu, WC Chen, SH Hung. European Symposium on Research in Computer Security, 535-551, 2023 (2023).
2022 25 papers
  1. Welcome Message from MIPR 2022 Organization Committee CCJ Kuo, K Nahrstedt, Y Rui, GM Su, MC Chang, A El Saddik, Y Tong, .... Proceedings-5th International Conference on Multimedia Information …, 2022 (2022).
  2. Vocbench: A neural vocoder benchmark for speech synthesis EA AlBadawy, A Gibiansky, Q He, J Wu, MC Chang, S Lyu. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 (2022).
  3. Towards multimodal semantic consistency analysis of long form articles Y Chen, MC Chang. 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 (2022).
  4. Text-image de-contextualization detection using vision-language models M Huang, S Jia, MC Chang, S Lyu. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 (2022).
  5. Simultaneous Multi-Person Tracking and Activity Recognition based on Cohesive Cluster Search W. Li and Y. Wei and S. Lyu and M.-C. Chang. Computer Vision and Image Understanding 214, 103301, 2022 (2022).
  6. Semi-supervised Learning for Topographic Map Analysis Over Time: a Study of Bridge Segmentation C.-S. Wong and H.-M. Liao and R. T.-H. Tsai and M.-C. Chang. Scientific Reports 12 (1), 18997, 2022 (2022).
  7. Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network YK Hsieh, JW Hsieh, YC Tseng, MC Chang, BS Wang. arXiv preprint arXiv:2211.06835, 2022 (2022).
  8. Robust attentive deep neural network for detecting gan-generated faces H Guo, S Hu, X Wang, MC Chang, S Lyu. Ieee Access 10, 32574-32583, 2022 (2022).
  9. Pseudoprop: Robust pseudo-label generation for semi-supervised object detection in autonomous driving systems S Hu, CH Liu, J Dutta, MC Chang, S Lyu, N Ramakrishnan. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2022 (2022).
  10. Open-eye: An open platform to study human performance on identifying ai-synthesized faces H Guo, S Hu, X Wang, MC Chang, S Lyu. 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 (2022).
  11. On multimodal semantic consistency detection of news articles with image caption pairs Y Chen, MC Chang. 2022 IEEE International Conference on Consumer Electronics-Taiwan, 355-356, 2022 (2022).
  12. Observation of attention mechanism baseline for pcb surface inspection system F Akhyar, L Novamizanti, MA Imaddudin, IH Pratama, SR Firmansyach, .... 2022 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), 1-6, 2022 (2022).
  13. Mitigating Data Absence in Federated Learning Using Privacy-Controllable Data Digests CF Hsu, MC Chang, WC Chen. arXiv preprint arXiv:2210.00737, 2022 (2022).
  14. Lightning YOLOv4 for a surface defect detection system for sawn lumber F Akhyar, L Novamizanti, T Putra, EN Furqon, MC Chang, CY Lin. 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 (2022).
  15. Instance contour adjustment via structure-driven CNN S Weng, Y Wei, MC Chang, B Shi. European Conference on Computer Vision, 146-161, 2022 (2022).
  16. Improving class activation map for weakly supervised object localization Z Zhang, MC Chang, TD Bui. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 (2022).
  17. FedTrust: Towards Building Secure Robust and Trustworthy Moderators for Federated Learning Chih-Fan Hsu and Jing-Lun Huang and Feng-Hao Liu and Ming-Ching Chang and Wei-Chao Chen. 2022 IEEE 5th international conference on multimedia information processing …, 2022 (2022).
  18. FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients. CF Hsu, MC Chang, WC Chen. CoRR, 2022 (2022).
  19. Eyes tell all: Irregular pupil shapes reveal gan-generated faces H Guo, S Hu, X Wang, MC Chang, S Lyu. ICASSP 2022-2022 IEEE international conference on acoustics, speech and …, 2022 (2022).
  20. Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts E AlBadawy, C Sun, TF Davison, SR Robinson, MC Chang, S Lyu. Proceedings of the IEEE International Workshop on Information Forensics and …, 2022 (2022).
  21. DetPoseNet: Improving multi-person pose estimation via coarse-pose filtering L Ke, MC Chang, H Qi, S Lyu. IEEE Transactions on Image Processing 31, 2782-2795, 2022 (2022).
  22. Class-Specific Channel Attention for Few-Shot Learning YY Chen, JW Hsieh, MC Chang. arXiv preprint arXiv:2209.01332, 2022 (2022).
  23. A Robust Collaborative Learning Framework Using Data Digests and Synonyms to Represent Absent Clients Chih-Fan Hsu and Ming-Ching Chang and Wei-Chao Chen. 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 (2022).
  24. A machine learning inversion scheme for determining interaction from scattering MC Chang, CH Tung, SY Chang, JM Carrillo, Y Wang, BG Sumpter, .... Communications Physics 5 (1), 46, 2022 (2022).
  25. A machine learning inversion scheme for determining effective interaction of charged colloidal suspensions using scattering CH Tung, MC Chang, SY Chang, JM Carrillo, Y Wang, B Sumpter, .... APS March Meeting Abstracts 2022, T31. 010, 2022 (2022).
2021 9 papers
  1. Transrpn: Towards the transferable adversarial perturbations using region proposal networks and beyond Y Li, MC Chang, P Sun, H Qi, J Dong, S Lyu. Computer Vision and Image Understanding 213, 103302, 2021 (2021).
  2. The 2020 Low-Power Computer Vision Challenge Xiao Hu and Ming-Ching Chang and Yuwei Chen and et al.. 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 (2021).
  3. Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection Ping-Yang Chen and Ming-Ching Chang and Jun-Wei Hsieh and Yong-Sheng Chen. IEEE transactions on Image Processing 30, 9099-9111, 2021 (2021).
  4. Multi-Teacher Single-Student Visual Transformer with Multi-Level Attention for Face Spoofing Detection. YH Huang, JW Hsieh, MC Chang, L Ke, S Lyu, AS Santra. BMVC, 125, 2021 (2021).
  5. Multi-Camera Tracking by Candidate Intersection Ratio Tracklet Matching Yun-Lun Li and Zhi-Yi Chin and Ming-Ching Chang and Chen-Kuo Chiang. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2021 (2021).
  6. MS-DARTS: Mean-shift based differentiable architecture search JW Hsieh, MC Chang, PY Chen, S Santra, CH Chou, CS Huang. arXiv preprint arXiv:2108.09996, 2021 (2021).
  7. Learnable discrete wavelet pooling (LDW-Pooling) for convolutional networks BS Wang, JW Hsieh, MC Chang, PY Chen, L Ke, S Lyu. arXiv preprint arXiv:2109.06638, 2021 (2021).
  8. FlagDetSeg: Multi-nation flag detection and segmentation in the wild SF Wu, MC Chang, S Lyu, CS Wong, AK Pandey, PC Su. 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 (2021).
  9. A video analytic system for rail crossing point protection G Zhao, AK Pandey, MC Chang, S Lyu. 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 (2021).
2020 11 papers
  1. UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking Longyin Wen and Dawei Du and Zhaowei Cai and Zhen Lei and Ming-Ching Chang and Honggang Qi and Jongwoo Lim and Ming-Hsuan Yang and Siwei Lyu. Computer Vision and Image Understanding 193, 102907, 2020 (2020).
  2. Railcar Detection, Identification and Tracking for Rail Yard Management Ming-Ching Chang and Guangliang Zhao and Abhineet Kumar Pandey and Andrew Pulver and Peter Tu. 2020 IEEE International Conference on Image Processing (ICIP), 2271-2275, 2020 (2020).
  3. MULTI-PASS YOLOV3 FOR SCOOTER LICENSE PLATE DETECTION AND RECOGNITION (Best paper candidate) MC Chang, JW Hsieh, CM Tsai, ZY Lin. The 33rd IPPR Conference On Computer Vision, Graphics, And Image Processing …, 2020 (2020).
  4. Modeling Latent Comorbidity for Health Risk Prediction Using Graph Convolutional Network. R Wang, MC Chang, M Radigan. FLAIRS, 341-346, 2020 (2020).
  5. MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network Yi Wei and Zhe Gan and Wenbo Li and Siwei Lyu and Ming-Ching Chang and Lei Zhang and Jianfeng Gao and Pengchuan Zhang. Asian Conference on Computer Vision, 661-678, 2020 (2020).
  6. Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection Yi Wei and Wenbo Li and Ming-Ching Chang and Hongxia Jin and Siwei Lyu. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 (2020).
  7. Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections Ping-Yang Chen and Jun-Wei Hsieh and Munkhjargal Gochoo and Ming-Ching Chang and Chien-Yao Wang and Mark Hong-Yuan Liao. 2020 IEEE International Conference on Image Processing (ICIP), 1521-1525, 2020 (2020).
  8. Driver License Field Detection Using Real-Time Deep Networks Chun-Ming Tsai and Jun-Wei Hsieh and Ming-Ching Chang and Yu-Chen Lin. International Conference on Industrial, Engineering and Other Applications …, 2020 (2020).
  9. Deep Learning Based Super-Resolution for Small-Angle Neutron Scattering Data: Attempt to Accelerate Experimental Workflow Ming-Ching Chang and Yi Wei and Wei-Ren Chen and Changwoo Do. MRS Communications 10 (1), 11-17, 2020 (2020).
  10. AI City Challenge 2020 - Computer Vision for Smart Transportation Applications Ming-Ching Chang and Chen-Kuo Chiang and Chun-Ming Tsai and Yun-Kai Chang and Hsuan-Lun Chiang and Yu-An Wang and Shih-Ya Chang and Yun-Lun Li and Ming-Shuin Tsai and Hung-Yu Tseng. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2020 (2020).
  11. 3D Single-Person Concurrent Activity Detection Using Stacked Relation Network Yi Wei and Wenbo Li and Yanbo Fan and Linghan Xu and Ming-Ching Chang and Siwei Lyu. Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12329 …, 2020 (2020).
2019 10 papers
  1. WIP abstract: Deep intelligent network for device-free people tracking Y Zhao, MC Chang, P Tu. ICCPS 2019-Proc. 2019 ACM/IEEE Int. Conf. Cyber-Physical Syst., 302-303, 2019 (2019).
  2. The 2019 AI City Challenge Milind Naphade and Zheng Tang and Ming-Ching Chang and et al.. CVPR workshops 8, 2, 2019 (2019).
  3. Occupancy sensing and activity recognition with cameras and wireless sensors Y Zhao, P Tu, MC Chang. Proceedings of the 2nd Workshop on Data Acquisition to Analysis, 1-6, 2019 (2019).
  4. Graph-to-Graph Energy Minimization for Video Object Segmentation Yuezun Li and Longyin Wen and Ming-Ching Chang and Siwei Lyu. 2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019 (2019).
  5. Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions Ming-Ching Chang and Lipeng Ke and Honggang Qi and Longyin Wen and Siwei Lyu. IEEE Transactions on Cybernetics 51 (1), 2-15, 2019 (2019).
  6. Efficient algorithms for graph regularized PLSA for probabilistic topic modeling X Wang, MC Chang, L Wang, S Lyu. Pattern Recognition 86, 236-247, 2019 (2019).
  7. Deep intelligent network for device-free people tracking: WIP abstract Y Zhao, MC Chang, P Tu. Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical …, 2019 (2019).
  8. Deep Intelligent Network for Device-free People Tracking Yang Zhao and Ming-Ching Chang and Peter Tu. Intentional Conference on Cyber-Physical Systems (ICCPS) (2019).
  9. AI City Challenge 2019 -- City-Scale Video Analytics for Smart Transportation Ming-Ching Chang and Jiayi Wei and Zheng-An Zhu and Yan-Ming Chen and Chan-Shuo Hu and Ming-Xiu Jiang and Chen-Kuo Chiang. CVPR workshops, 99-108, 2019 (2019).
  10. Accelerating neutron scattering data collection and experiments using AI deep super-resolution learning MC Chang, Y Wei, WR Chen, C Do. arXiv preprint arXiv:1904.08450, 2019 (2019).
2018 10 papers
  1. Who did what at where and when: simultaneous multi-person tracking and activity recognition W Li, MC Chang, S Lyu. arXiv preprint arXiv:1807.01253, 2018 (2018).
  2. Video Analytics in Smart Transportation for the AIC'18 Challenge Ming-Ching Chang and Yi Wei and Nenghui Song and Siwei Lyu. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018 (2018).
  3. The 2018 nvidia ai city challenge M Naphade, MC Chang, A Sharma, DC Anastasiu, V Jagarlamudi, .... 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018 (2018).
  4. Robust adversarial perturbation on deep proposal-based models Y Li, D Tian, MC Chang, X Bian, S Lyu. arXiv preprint arXiv:1809.05962, 2018 (2018).
  5. Pixel offset regression (por) for single-shot instance segmentation Y Li, X Bian, M Chang, L Wen, S Lyu. 2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018 (2018).
  6. Multi-Scale Structure-Aware Network for Human Pose Estimation Lipeng Ke and Ming-Ching Chang and Honggong Qi and Siwei Lyu. European Conference on Computer Vision, 731-746, 2018 (2018).
  7. In ictu oculi: Exposing AI generated fake face videos by detecting eye blinking. 2018 Y Li, MC Chang, S Lyu. arXiv preprint arXiv:1806.02877, 2018 (2018).
  8. In ictu oculi: Exposing ai created fake videos by detecting eye blinking Y Li, MC Chang, S Lyu. 2018 IEEE International workshop on information forensics and security (WIFS …, 2018 (2018).
  9. Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches Yuezun Li and Xiao Bian and Ming-Ching Chang and Siwei Lyu. arXiv preprint arXiv:1809.05966, 2018 (2018).
  10. Explain Black-box Image Classifications Using Superpixel-based Interpretation Yi Wei and Ming-Ching Chang and Yiming Ying and Ser Nam Lim and Siwei Lyu. 2018 24th International Conference on Pattern Recognition (ICPR), 1640-1645, 2018 (2018).
2017 9 papers
  1. UA-DETRAC 2017: Report of AVSS2017 \& IWT4S Challenge on Advanced Traffic Monitoring Siwei Lyu and Ming-Ching Chang and Dawei Du and Longyin Wen and Honggang Qi and Yuezun Li and Yi Wei and Lipeng Ke and Tao Hu and Marco Del Coco and Pierluigi Carcagni and et al.. 2017 14th IEEE international conference on advanced video and signal based …, 2017 (2017).
  2. The NVIDIA AI City Challenge Milind Naphade and David C. Anastasiu and Anuj Sharma and Vamsi Jagrlamudi and Hyeran Jeon and Kaikai Liu and Ming-Ching Chang and Siwei Lyu and Zeyu Gao. 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 (2017).
  3. Street Object Detection / Tracking for AI City Traffic Analysis Yi Wei and Nenghui Song and Lipeng Ke and Ming-Ching Chang and Siwei Lyu. 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 (2017).
  4. Multi-Modal Sensor System for Pressure Ulcer Wound Assessment and Care Ming-Ching Chang and Ting Yu and Jiajia Luo and Kun Duan and Peter Tu and Yang Zhao and Nandini Nagraj and Vrinda Rajiv and Michael Priebe and Elena Wood and Max Stachura. IEEE Transactions on Industrial Informatics 14 (3), 1186-1196, 2017 (2017).
  5. Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph Longyin Wen and Zhen Lei and Ming-Ching Chang and Honggang Qi and Siwei Lyu. International Journal of Computer Vision 122 (2), 313-333, 2017 (2017).
  6. In-Bed Patient Motion and Pose Analysis Using Depth Videos for Pressure Ulcer Prevention Ming-Ching Chang and Ting Yu and Kun Duan and Jiajia Luo and Peter Tu and Michael Priebe and Elena Wood and Max Stachura. 2017 IEEE International Conference on Image Processing (ICIP), 4118-4122, 2017 (2017).
  7. Hybrid Structure Hypergraph for Online Deformable Object Tracking Shengkun Li and Dawei Du and Longyin Wen and Ming-Ching Chang and Siwei Lyu. 2017 IEEE International Conference on Image Processing (ICIP), 1127-1131, 2017 (2017).
  8. Cloud Tracking for Solar Irradiance Prediction Ming-Ching Chang and Yi Yao and Li Guan and Yan Tong and Peter Tu. 2017 IEEE International Conference on Image Processing (ICIP), 4387-4391, 2017 (2017).
  9. Adaptive RNN Tree for Large-Scale Human Action Recognition Wenbo Li and Longyin Wen and Ming-Ching Chang and Sernam Lim and Siwei Lyu. Proceedings of the IEEE international conference on computer vision, 1444-1452, 2017 (2017).
2016 4 papers
  1. Efficient large-scale photometric reconstruction using Divide-Recon-Fuse 3D Structure from Motion Y Yang, MC Chang, L Wen, P Tu, H Qi, S Lyu. 2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016 (2016).
  2. Crowd Analytics via One Shot Learning and Agent Based Inference Peter Tu and Ming-Ching Chang and Tao Gao. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 (2016).
  3. Co-regularized PLSA For Multi-Modal Learning Xin Wang and Yiming Ying and Ming-Ching Chang and Siwei Lyu. Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 (2016).
  4. AVSS 2016 Message from the chairs T Boult, R Nevatia, S Velipasalar, V Ramesh, C Sanderson, MC Chang. 2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016 (2016).
2015 11 papers
  1. The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, .... Proceedings of the IEEE international conference on computer vision …, 2015 (2015).
  2. The thermal infrared visual object tracking VOT-TIR2015 challenge results M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, .... Proceedings of the ieee international conference on computer vision …, 2015 (2015).
  3. Shot Segmentation and Grouping for PTZ Camera Videos Andrew Pulver and Ming-Ching Chang and Siwei Lyu. 10th Annual Symposium on Information Assurance (ASIA’15), 34, 2015 (2015).
  4. Seeing as it Happens: Real time 3D Video Event Visualization Yueming Yang and Ming-Ching Chang and Peter Tu and Siwei Lyu. 2015 IEEE International Conference on Image Processing (ICIP), 2875-2879, 2015 (2015).
  5. Quantitative pharmacokinetic analysis of prostate cancer DCE-MRI at 3 T: comparison of two arterial input functions on cancer detection with digitized whole mount … FM Fennessy, A Fedorov, T Penzkofer, KW Kim, MS Hirsch, MG Vangel, .... Magnetic resonance imaging 33 (7), 886-894, 2015 (2015).
  6. Modeling transition patterns between events for temporal human action segmentation and classification Y Kim, J Chen, MC Chang, X Wang, EM Provost, S Lyu. 2015 11th IEEE International Conference and Workshops on Automatic Face and …, 2015 (2015).
  7. Fast Online Upper Body Pose Estimation from Video Ming-Ching Chang and Honggang Qi and Xin Wang and Hong Cheng and Siwei Lyu. BMVC, 104.1-104.12, 2015 (2015).
  8. DETRAC: A new benchmark and protocol for multi-object tracking L Wen, D Du, Z Cai, Z Lei, M Chang, H Qi, J Lim, M Yang, S Lyu. arXiv preprint arXiv:1511.04136 2 (4), 7, 2015 (2015).
  9. Cross-cultural training analysis via social science and computer vision methods P Tu, J Chen, MC Chang, T Yu, TP Tian, G Rubin, J Hockett, .... Procedia Manufacturing 3, 4068-4075, 2015 (2015).
  10. Bridging Computer Vision and Social Science: A Multi-Camera Vision System for Social Interaction Training Analysis Jixu Chen and Ming-Ching Chang and Tai-Peng Tian and Ting Yu and Peter Tu. 2015 IEEE International Conference on Image Processing (ICIP), 823-826, 2015 (2015).
  11. A live video analytic system for affect analysis in public space J Chen, MC Chang, P Tu. 2015 11th IEEE International Conference and Workshops on Automatic Face and …, 2015 (2015).
2014 2 papers
  1. Variations of Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Evaluation of Breast Cancer Therapy Response: A Multicenter Data Analysis Challenge Wei Huang and Xin Li and Yiyi Chen and Xia Li and Ming-Ching Chang and Matthew J. Oborski and Dariya I. Malyarenko and Mark Muzi and Guido H. Jajamovich and Andriy Fedorov and Alina Tudorica and Sandeep N. Gupta and Charles M. Laymon and Kenneth I. Marro and Hadrien A. Dyvorne and James V. Miller and Daniel P. Barbodiak and Thomas L. Chenevert and Thomas E. Yankeelov and James M. Mountz and Paul E. Kinahan and Ron Kikinis and Bachir Taouli and Fiona Fennessy and Jayashree Kalpathy-Cramer. Translational oncology 7 (1), 153-166, 2014 (2014).
  2. Variations in DCE-MRI Assessment of Breast Cancer Therapy Response: A Multicenter Data Analysis Challenge W. Huang and X. Li and X. Li and M.-C. Chang and M. Oborski and D. Malyarenko and M. Muzi, G. Jajamovich and A. Fedorov and Y. Chen and A. Tudorica and S. Gupta and C. Laymon and K. Marro and H. Dyvorne and J. Miller and T. Chenevert and T. Yankeelov and J. Mountz and P. Kinahan and R. Kikinis and B. Taouli and F. Fennessy and J. Kalpathy-Cremer. Proc. Intl. Soc. Mag. Reson. Med 22, 0921, 2014 (2014).
2013 2 papers
  1. Spatial Information Based DCE-MRI Data Reconstruction and Analysis using PCA R. Mullick and S. Gupta and D. Shanbhag and M.-C. Chang and K. Rajamani and S. Joel. ISMRM (2013).
  2. Improved T1 mapping and DCE-MRI quantification for prostate at 3T by Incorporating B1 inhomogeneity correction MC Chang, SN Gupta, LI Sacolick, C Tempany-Afdhal, F Fennessy, .... ISMRM, Salt Lake city, USA 2199, 2013 (2013).
2012 2 papers
  1. Spatio-Temporal Phrases for Activity Recognition Yimeng Zhang and Xiaoming Liu and Ming-Ching Chang and Weina Ge and Tsuhan Chen. European Conference on Computer Vision, 707-721, 2012 (2012).
  2. Group context learning for event recognition Y Zhang, W Ge, MC Chang, X Liu. 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 249-255, 2012 (2012).
2011 6 papers
  1. Tracking Gaze Direction from Far-Field Surveillance Cameras Karthik Sankaranarayanan and Ming-Ching Chang and Nils Krahnstoever. 2011 IEEE Workshop on Applications of Computer Vision (WACV), 519-526, 2011 (2011).
  2. Probabilistic Group-Level Motion Analysis and Scenario Recognition Ming-Ching Chang and Nils Krahnstoever and Weina Ge. 2011 International Conference on Computer Vision, 747-754, 2011 (2011).
  3. Measuring 3D Shape Similarity by Graph-Based Matching of the Medial Scaffolds Ming-Ching Chang and Benjamin B. Kimia. Computer Vision and Image Understanding 115 (5), 707-720, 2011 (2011).
  4. Gaze and Body Pose Estimation from a Distance Nils Krahnstoever and Ming-Ching Chang and Weina Ge. 2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011 (2011).
  5. Automatic Arterial Input Function Detection for Prostate Dynamic Contrast Enhanced MRI Yingxuan Zhu and Ming-Ching Chang and Fiona M. Fennessy and Sandeep N. Gupta. ISMRM (2011).
  6. Automated Determination of Arterial Input Function for DCE-MRI of the Prostate Yingxuan Zhu and Ming-Ching Chang and Sandeep N. Gupta. Medical Imaging 2011: Computer-Aided Diagnosis 7963, 266-273, 2011 (2011).
2010 5 papers
  1. Subvoxel Segmentation and Representation of Brain Cortex using Fuzzy Clustering and Gradient Vector Diffusion Ming-Ching Chang and Xiaodong Tao. Medical Imaging 2010: Image Processing 7623, 507-517, 2010 (2010).
  2. Reliable Fusion of Knee Bone Laser Scans to Establish Ground Truth for Cartilage Thickness Measurement Ming-Ching Chang and Nhon H. Trinh and Braden C. Fleming and Benjamin B. Kimia. Medical Imaging 2010: Image Processing 7623, 818-825, 2010 (2010).
  3. Group Level Activity Recognition in Crowded Environments across Multiple Cameras Ming-Ching Chang and Nils Krahnstoever and Sernam Lim and Ting Yu. 2010 7th IEEE International Conference on Advanced Video and Signal Based …, 2010 (2010).
  4. A Skull Stripping Method Using Deformable Surface and Tissue Classification Xiaodong Tao and Ming-Ching Chang. Medical Imaging 2010: Image Processing 7623, 1095-1102, 2010 (2010).
  5. A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds Frederic F. Leymarie and Ming-Ching Chang and Celina Imielinska and Benjamin B. Kimia. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) (2010).
2009 3 papers
  1. The medial scaffold for three-dimensional shape modeling and recognition MC Chang. Brown University, 2009 (2009).
  2. Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold Ming-Ching Chang and Frederic F. Leymarie and Benjamin B. Kimia. Computer Vision and Image Understanding 113 (11), 1130-1146, 2009 (2009).
  3. Measuring 3D Shape Similarity by Matching the Medial Scaffolds Ming-Ching Chang and Benjamin B. Kimia. 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 (2009).
2008 2 papers
  1. The Medial Scaffold for 3D Shape Modeling and Recognition Ming-Ching Chang. PhD thesis, 2008 (2008).
  2. Regularizing 3D Medial Axis Using Medial Scaffold Transforms Ming-Ching Chang and Benjamin B. Kimia. 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 (2008).
2007 0 papers
2004 2 papers
  1. Shape Registration using Regularized Medial Scaffolds FF Leymarie, M Chang, BB Kimia. (2004).
  2. 3D Shape Registration using Regularized Medial Scaffolds Ming-Ching Chang and F. Leymarie and B. Kimia. Proceedings. 2nd International Symposium on 3D Data Processing …, 2004 (2004).
2001 1 paper
  1. Fast Search Algorithms for Industrial Inspection Ming-Ching Chang and Chiou-Shann Fuh and Hsien-Yei Chen. International journal of pattern recognition and artificial intelligence 15 …, 2001 (2001).
1998 1 paper
  1. Fast Search Algorithms for IC Printed Mark Quality Inspection Ming-Ching Chang and Hsien-Yei Chen and and Chiou-Shann Fuh. National Taiwan University Taipei, Taiwan, 1998 (1998).
1997 1 paper
  1. IC Printed Mark Quality Inspection Algorithms Ming-Ching Chang and Hsien-Yei Chen and and Chiou-Shann Fuh. Proc. Conf. Computer Vision, Graphics, Image Processing, Taichung, Taiwan …, 1997 (1997).
1994 0 papers