Fast Search Algorithms for IC Printed Mark Quality Inspection. - Ming-Ching Chang; Hsien-Yei Chen; Chiou-Shann Fuh (MVA, 1998)

Fast Search Algorithms for Industrial Inspection. - Ming-Ching Chang; Chiou-Shann Fuh; Hsien-Yei Chen (Int. J. Pattern Recognit. Artif. Intell., 2001)

3D Shape Registration using Regularized Medial Scaffolds. - Ming-Ching Chang; Frederic F. Leymarie; Benjamin B. Kimia (3DPVT, 2004)

Regularizing 3D medial axis using medial scaffold transforms. - Ming-Ching Chang; Benjamin B. Kimia (CVPR, 2008)

Measuring 3D shape similarity by matching the medial scaffolds. - Ming-Ching Chang; Benjamin B. Kimia (ICCV Workshops, 2009)

Surface reconstruction from point clouds by transforming the medial scaffold. - Ming-Ching Chang; Frederic F. Leymarie; Benjamin B. Kimia (Comput. Vis. Image Underst., 2009)

Group Level Activity Recognition in Crowded Environments across Multiple Cameras. - Ming-Ching Chang; Nils Krahnstoever; Sernam Lim; Ting Yu 003 (AVSS, 2010)

Subvoxel segmentation and representation of brain cortex using fuzzy clustering and gradient vector diffusion. - Ming-Ching Chang; Xiaodong Tao (Image Processing, 2010)

Reliable fusion of knee bone laser scans to establish ground truth for cartilage thickness measurement. - Ming-Ching Chang; Nhon H. Trinh; Braden C. Fleming; Benjamin B. Kimia (Image Processing, 2010)

A skull stripping method using deformable surface and tissue classification. - Xiaodong Tao; Ming-Ching Chang (Image Processing, 2010)

A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds. - Frederic F. Leymarie; Ming-Ching Chang; Celina Imielinska; Benjamin B. Kimia (VCBM, 2010)

Gaze and body pose estimation from a distance. - Nils Krahnstoever; Ming-Ching Chang; Weina Ge (AVSS, 2011)

Probabilistic group-level motion analysis and scenario recognition. - Ming-Ching Chang; Nils Krahnstoever; Weina Ge (ICCV, 2011)

Automated determination of arterial input function for DCE-MRI of the prostate. - Yingxuan Zhu; Ming-Ching Chang; Sandeep Gupta (Computer-Aided Diagnosis, 2011)

Tracking gaze direction from far-field surveillance cameras. - Karthik Sankaranarayanan; Ming-Ching Chang; Nils Krahnstoever (WACV, 2011)

Measuring 3D shape similarity by graph-based matching of the medial scaffolds. - Ming-Ching Chang; Benjamin B. Kimia (Comput. Vis. Image Underst., 2011)

Spatio-Temporal Phrases for Activity Recognition. - Yimeng Zhang; Xiaoming Liu 002; Ming-Ching Chang; Weina Ge; Tsuhan Chen (ECCV (3), 2012)

Group context learning for event recognition. - Yimeng Zhang; Weina Ge; Ming-Ching Chang; Xiaoming Liu 002 (WACV, 2012)

Fast Online Upper Body Pose Estimation from Video. - Ming-Ching Chang; Honggang Qi; Xin Wang 045; Hong Cheng 002; Siwei Lyu (BMVC, 2015)

A live video analytic system for affect analysis in public space. - Jixu Chen; Ming-Ching Chang; Peter H. Tu (FG, 2015)

Modeling transition patterns between events for temporal human action segmentation and classification. - Yelin Kim; Jixu Chen; Ming-Ching Chang; Xin Wang 045; Emily Mower Provost; Siwei Lyu (FG, 2015)

Bridging computer vision and social science: A multi-camera vision system for social interaction training analysis. - Jixu Chen; Ming-Ching Chang; Tai-Peng Tian; Ting Yu 003; Peter H. Tu (ICIP, 2015)

Seeing as it happens: Real time 3D video event visualization. - Yueming Yang; Ming-Ching Chang; Peter H. Tu; Siwei Lyu (ICIP, 2015)

DETRAC: A New Benchmark and Protocol for Multi-Object Tracking. - Longyin Wen; Dawei Du; Zhaowei Cai; Zhen Lei 001; Ming-Ching Chang; Honggang Qi; Jongwoo Lim; Ming-Hsuan Yang 001; Siwei Lyu (CoRR, 2015)

Co-Regularized PLSA for Multi-Modal Learning. - Xin Wang 045; Ming-Ching Chang; Yiming Ying; Siwei Lyu (AAAI, 2016)

Efficient large-scale photometric reconstruction using Divide-Recon-Fuse 3D Structure from Motion. - Yueming Yang; Ming-Ching Chang; Longyin Wen; Peter H. Tu; Honggang Qi; Siwei Lyu (AVSS, 2016)

Crowd analytics via one shot learning and agent based inference. - Peter H. Tu; Ming-Ching Chang; Tao Gao (GlobalSIP, 2016)

UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. - Siwei Lyu; Ming-Ching Chang; Dawei Du; Longyin Wen; Honggang Qi; Yuezun Li; Yi Wei 006; Lipeng Ke; Tao Hu 011; Marco Del Coco; Pierluigi Carcagnì; Dmitriy Anisimov; et al. (AVSS, 2017)

Adaptive RNN Tree for Large-Scale Human Action Recognition. - Wenbo Li 001; Longyin Wen; Ming-Ching Chang; Ser Nam Lim; Siwei Lyu (ICCV, 2017)

In-bed patient motion and pose analysis using depth videos for pressure ulcer prevention. - Ming-Ching Chang; Ting Yi; Kun Duan; Jiajia Luo; Peter H. Tu; Michael Priebe; Elena A. Wood; Max E. Stachura (ICIP, 2017)

Cloud tracking for solar irradiance prediction. - Ming-Ching Chang; Yi Yao; Guan Li; Yan Tong; Peter H. Tu (ICIP, 2017)

Hybrid structure hypergraph for online deformable object tracking. - Shengkun Li; Dawei Du; Longyin Wen; Ming-Ching Chang; Siwei Lyu (ICIP, 2017)

The NVIDIA AI City Challenge. - Milind Naphade; David C. Anastasiu; Anuj Sharma; Vamsi Jagrlamudi; Hyeran Jeon; Kaikai Liu; Ming-Ching Chang; Siwei Lyu; Jerry Zeyu Gao (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Street object detection / tracking for AI city traffic analysis. - Yi Wei 006; Nenghui Song; Lipeng Ke; Ming-Ching Chang; Siwei Lyu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph. - Longyin Wen; Zhen Lei 001; Ming-Ching Chang; Honggang Qi; Siwei Lyu (Int. J. Comput. Vis., 2017)

Pixel Offset Regression (POR) for Single-shot Instance Segmentation. - Yuezun Li; Xiao Bian; Ming-Ching Chang; Longyin Wen; Siwei Lyu (AVSS, 2018)

UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. - Siwei Lyu; Ming-Ching Chang; Dawei Du; Wenbo Li 001; Yi Wei 006; Marco Del Coco; Pierluigi Carcagnì; Arne Schumann; Bharti Munjal; Dinh-Quoc-Trung Dang; Doo-Hyun Choi; Erik Bochinski; et al. (AVSS, 2018)

Robust Adversarial Perturbation on Deep Proposal-based Models. - Yuezun Li; Daniel Tian; Ming-Ching Chang; Xiao Bian; Siwei Lyu (BMVC, 2018)

Video Analytics in Smart Transportation for the AIC'18 Challenge. - Ming-Ching Chang; Yi Wei; Nenghui Song; Siwei Lyu (CVPR Workshops, 2018)

The 2018 NVIDIA AI City Challenge. - Milind Naphade; Ming-Ching Chang; Anuj Sharma; David C. Anastasiu; Vamsi Jagarlamudi; Pranamesh Chakraborty; Tingting Huang; Shuo Wang; Ming-Yu Liu 001; Rama Chellappa; Jenq-Neng Hwang; Siwei Lyu (CVPR Workshops, 2018)

Multi-Scale Structure-Aware Network for Human Pose Estimation. - Lipeng Ke; Ming-Ching Chang; Honggang Qi; Siwei Lyu (ECCV (2), 2018)

Multi-Scale Supervised Network for Human Pose Estimation. - Lipeng Ke; Honggang Qi; Ming-Ching Chang; Siwei Lyu (ICIP, 2018)

Explain Black-box Image Classifications Using Superpixel-based Interpretation. - Yi Wei 006; Ming-Ching Chang; Yiming Ying; Ser Nam Lim; Siwei Lyu (ICPR, 2018)

In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking. - Yuezun Li; Ming-Ching Chang; Siwei Lyu (WIFS, 2018)

In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking. - Yuezun Li; Ming-Ching Chang; Siwei Lyu (CoRR, 2018)

Who did What at Where and When: Simultaneous Multi-Person Tracking and Activity Recognition. - Wenbo Li 001; Ming-Ching Chang; Siwei Lyu (CoRR, 2018)

Multimodal Sensor System for Pressure Ulcer Wound Assessment and Care. - Ming-Ching Chang; Ting Yu 003; Jiajia Luo; Kun Duan; Peter H. Tu; Yang Zhao 020; Nandini Nagraj; Vrinda Rajiv; Michael Priebe; Elena A. Wood; Maximillian Stachura (IEEE Trans. Ind. Informatics, 2018)

Graph-to-Graph Energy Minimization for Video Object Segmentation. - Yuezun Li; Longyin Wen; Ming-Ching Chang; Siwei Lyu (AVSS, 2019)

Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches. - Yuezun Li; Xiao Bian; Ming-Ching Chang; Siwei Lyu (BMVC, 2019)

AI City Challenge 2019 - City-Scale Video Analytics for Smart Transportation. - Ming-Ching Chang; Jiayi Wei; Zheng-An Zhu; Yan-Ming Chen; Chan-Shuo Hu; Ming-Xiu Jiang; Chen-Kuo Chiang (CVPR Workshops, 2019)

The 2019 AI City Challenge. - Milind Naphade; Zheng Tang; Ming-Ching Chang; David C. Anastasiu; Anuj Sharma; Rama Chellappa; Shuo Wang; Pranamesh Chakraborty; Tingting Huang; Jenq-Neng Hwang; Siwei Lyu (CVPR Workshops, 2019)

Deep intelligent network for device-free people tracking: WIP abstract. - Yang Zhao 020; Ming-Ching Chang; Peter H. Tu (ICCPS, 2019)

Occupancy Sensing and Activity Recognition with Cameras and Wireless Sensors. - Yang Zhao 020; Peter H. Tu; Ming-Ching Chang (DATA@SenSys, 2019)

Efficient algorithms for graph regularized PLSA for probabilistic topic modeling. - Xin Wang 045; Ming-Ching Chang; Lan Wang; Siwei Lyu (Pattern Recognit., 2019)

3D Single-Person Concurrent Activity Detection Using Stacked Relation Network. - Yi Wei 006; Wenbo Li 001; Yanbo Fan; Linghan Xu; Ming-Ching Chang; Siwei Lyu (AAAI, 2020)

MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. - Yi Wei 006; Zhe Gan; Wenbo Li 001; Siwei Lyu; Ming-Ching Chang; Lei Zhang 001; Jianfeng Gao 001; Pengchuan Zhang (ACCV (4), 2020)

AI City Challenge 2020 - Computer Vision for Smart Transportation Applications. - Ming-Ching Chang; Chen-Kuo Chiang; Chun-Ming Tsai; Yun-Kai Chang; Hsuan-Lun Chiang; Yu-An Wang; Shih-Ya Chang; Yun-Lun Li; Ming-Shuin Tsai; Hung-Yu Tseng (CVPR Workshops, 2020)

The 4th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Liang Zheng 001; Anuj Sharma; Rama Chellappa; Pranamesh Chakraborty (CVPR Workshops, 2020)

Modeling Latent Comorbidity for Health Risk Prediction Using Graph Convolutional Network. - Rui Wang; Ming-Ching Chang; Marleen Radigan (FLAIRS, 2020)

Railcar Detection, Identification and Tracking for Rail Yard Management. - Ming-Ching Chang; Guangliang Zhao; Abhineet Kumar Pandey; Andrew Pulver; Peter H. Tu (ICIP, 2020)

Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections. - Ping-Yang Chen; Jun-Wei Hsieh; Munkhjargal Gochoo; Ming-Ching Chang; Chien-Yao Wang; Yong-Sheng Chen; Hong-Yuan Mark Liao (ICIP, 2020)

Driver License Field Detection Using Real-Time Deep Networks. - Chun-Ming Tsai; Jun-Wei Hsieh; Ming-Ching Chang; Yu-Chen Lin (IEA/AIE, 2020)

Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection. - Yi Wei 006; Wenbo Li 001; Ming-Ching Chang; Hongxia Jin; Siwei Lyu (IROS, 2020)

UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking. - Longyin Wen; Dawei Du; Zhaowei Cai; Zhen Lei 001; Ming-Ching Chang; Honggang Qi; Jongwoo Lim; Ming-Hsuan Yang 001; Siwei Lyu (Comput. Vis. Image Underst., 2020)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild. - Shou-Fang Wu; Ming-Ching Chang; Siwei Lyu; Cheng-Shih Wong; Abhineet Kumar Pandey; Po-Chi Su (AVSS, 2021)

A Video Analytic System for Rail Crossing Point Protection. - Guangliang Zhao; Abhineet Kumar Pandey; Ming-Ching Chang; Siwei Lyu (AVSS, 2021)

Multi-Teacher Single-Student Visual Transformer with Multi-Level Attention for Face Spoofing Detection. - Yao-Hui Huang; Jun-Wei Hsieh; Ming-Ching Chang; Lipeng Ke; Siwei Lyu; Arpita Samanta Santra (BMVC, 2021)

Learnable Discrete Wavelet Pooling (LDW-Pooling) for Convolutional Networks. - Bor-Shiun Wang; Jun-Wei Hsieh; Ping-Yang Chen; Ming-Ching Chang; Lipeng Ke; Siwei Lyu (BMVC, 2021)

Multi-Camera Tracking by Candidate Intersection Ratio Tracklet Matching. - Yun-Lun Li; Zhi-Yi Chin; Ming-Ching Chang; Chen-Kuo Chiang (CVPR Workshops, 2021)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Christian E. López; Anuj Sharma; Qi Feng 004; et al. (CVPR Workshops, 2021)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CoRR, 2021)

MS-DARTS: Mean-Shift Based Differentiable Architecture Search. - Jun-Wei Hsieh; Ming-Ching Chang; Ping-Yang Chen; Santanu Santra; Cheng-Han Chou; Chih-Sheng Huang (CoRR, 2021)

Robust Attentive Deep Neural Network for Exposing GAN-generated Faces. - Hui Guo; Shu Hu 001; Xin Wang 045; Ming-Ching Chang; Siwei Lyu (CoRR, 2021)

TransRPN: Towards the Transferable Adversarial Perturbations using Region Proposal Networks and Beyond. - Yuezun Li; Ming-Ching Chang; Pu Sun 001; Honggang Qi; Junyu Dong; Siwei Lyu (Comput. Vis. Image Underst., 2021)

A Video Analytic In-Class Student Concentration Monitoring System. - Mu-Chun Su; Chun-Ting Cheng; Ming-Ching Chang; Yi-Zeng Hsieh (IEEE Trans. Consumer Electron., 2021)

Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions. - Ming-Ching Chang; Lipeng Ke; Honggang Qi; Longyin Wen; Siwei Lyu (IEEE Trans. Cybern., 2021)

Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection. - Ping-Yang Chen; Ming-Ching Chang; Jun-Wei Hsieh; Yong-Sheng Chen (IEEE Trans. Image Process., 2021)

PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. - Shu Hu 001; Chun-Hao Liu; Jayanta Dutta; Ming-Ching Chang; Siwei Lyu; Naveen Ramakrishnan (CVPR Workshops, 2022)

The 6th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Archana Venkatachalapathy; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2022)

Instance Contour Adjustment via Structure-Driven CNN. - Shuchen Weng; Yi Wei; Ming-Ching Chang; Boxin Shi (ECCV (7), 2022)

Vocbench: A Neural Vocoder Benchmark for Speech Synthesis. - Ehab A. AlBadawy; Andrew Gibiansky; Qing He; Jilong Wu; Ming-Ching Chang; Siwei Lyu (ICASSP, 2022)

Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces. - Hui Guo; Shu Hu 001; Xin Wang 045; Ming-Ching Chang; Siwei Lyu (ICASSP, 2022)

Text-Image De-Contextualization Detection Using Vision-Language Models. - Mingzhen Huang; Shan Jia; Ming-Ching Chang; Siwei Lyu (ICASSP, 2022)

Improving Class Activation Map for Weakly Supervised Object Localization. - Zhenfei Zhang; Ming-Ching Chang; Tien D. Bui (ICASSP, 2022)

On Multimodal Semantic Consistency Detection of News Articles with Image Caption Pairs. - Yuwei Chen; Ming-Ching Chang (ICCE-TW, 2022)

Lightning YOLOv4 for a Surface Defect Detection System for Sawn Lumber. - Fityanul Akhyar; Ledya Novamizanti; Trianusa Putra; Elvin Nur Furqon; Ming-Ching Chang; Chih-Yang Lin (MIPR, 2022)

Towards Multimodal Semantic Consistency Analysis of Long Form Articles. - Yuwei Chen; Ming-Ching Chang (MIPR, 2022)

Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces. - Hui Guo; Shu Hu 001; Xin Wang 045; Ming-Ching Chang; Siwei Lyu (MIPR, 2022)

A Robust Collaborative Learning Framework Using Data Digests and Synonyms to Represent Absent Clients. - Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (MIPR, 2022)

FedTrust: Towards Building Secure Robust and Trustworthy Moderators for Federated Learning. - Chih-Fan Hsu; Jing-Lun Huang; Feng-Hao Liu; Ming-Ching Chang; Wei-Chao Chen (MIPR, 2022)

Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces. - Hui Guo; Shu Hu 001; Xin Wang 045; Ming-Ching Chang; Siwei Lyu (IEEE Access, 2022)

NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation. - Yi-Chun Wang; Jun-Wei Hsieh; Ming-Ching Chang (CoRR, 2022)

FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients. - Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (CoRR, 2022)

Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network. - Yi-Kuan Hsieh; Jun-Wei Hsieh; Yu-Chee Tseng; Ming-Ching Chang; Bor-Shiun Wang (CoRR, 2022)

SMILEtrack: SiMIlarity LEarning for Multiple Object Tracking. - Yu-Hsiang Wang; Jun-Wei Hsieh; Ping-Yang Chen; Ming-Ching Chang (CoRR, 2022)

Simultaneous multi-person tracking and activity recognition based on cohesive cluster search. - Wenbo Li 001; Yi Wei 006; Siwei Lyu; Ming-Ching Chang (Comput. Vis. Image Underst., 2022)

DetPoseNet: Improving Multi-Person Pose Estimation via Coarse-Pose Filtering. - Lipeng Ke; Ming-Ching Chang; Honggang Qi; Siwei Lyu (IEEE Trans. Image Process., 2022)

FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection. - Munkhjargal Gochoo; Munkh-Erdene Otgonbold; Erkhembayar Ganbold; Jun-Wei Hsieh; Ming-Ching Chang; Ping-Yang Chen; Byambaa Dorj; Hamad Al Jassmi; Ganzorig Batnasan; Fady Alnajjar; Mohammed Abduljabbar; Fang-Pang Lin (CVPR Workshops, 2023)

The 7th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2023)

Video Analytics for Detecting Motorcyclist Helmet Rule Violations. - Chun-Ming Tsai; Jun-Wei Hsieh; Ming-Ching Chang; Guan-Lin He; Ping-Yang Chen; Wei-Tsung Chang; Yi-Kuan Hsieh (CVPR Workshops, 2023)

PRB-FPN+: Video Analytics for Enforcing Motorcycle Helmet Laws. - Bor-Shiun Wang; Ping-Yang Chen; Yi-Kuan Hsieh; Jun-Wei Hsieh; Ming-Ching Chang; JiaXin He; Shin-You Teng; HaoYuan Yue; Yu-Chee Tseng (CVPR Workshops, 2023)

GAN-Generated Faces Detection: A Survey and New Perspectives. - Xin Wang 045; Hui Guo; Shu Hu 001; Ming-Ching Chang; Siwei Lyu (ECAI, 2023)

An Efficient CKKS-FHEW/TFHE Hybrid Encrypted Inference Framework. - Tzu-Li Liu; Yu-Te Ku; Ming-Chien Ho; Feng-Hao Liu; Ming-Ching Chang; Chih-Fan Hsu; Wei-Chao Chen; Shih-Hao Hung (ESORICS Workshops (2), 2023)

Fisheye Multiple Object Tracking by Learning Distortions Without Dewarping. - Ping-Yang Chen; Jun-Wei Hsieh; Ming-Ching Chang; Munkhjargal Gochoo; Fang-Pang Lin; Yong-Sheng Chen (ICIP, 2023)

Transformer Based Image-Text Consistency Analysis for Infographic Articles. - Yuwei Chen; Ming-Ching Chang (MIPR, 2023)

Region-aware Photo Assurance System for Image Authentication. - Ke-Han Li; Chih-Fan Hsu; Ming-Ching Chang; Feng-Hao Liu; Shao-Yi Chien; Wei-Chao Chen (MIPR, 2023)

Two-Stage Dual Augmentation with CLIP for Improved Text-to-Sketch Synthesis. - Zhenfei Zhang; Ming-Ching Chang (MIPR, 2023)

MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild. - Yu-Xiang Zeng; Jun-Wei Hsieh; Xin Li 005; Ming-Ching Chang (CoRR, 2023)

Scale-Aware Crowd Count Network with Annotation Error Correction. - Yi-Kuan Hsieh; Jun-Wei Hsieh; Yu-Chee Tseng; Ming-Ching Chang; Xin Li 005 (CoRR, 2023)

Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention. - Ying-Yu Chen; Jun-Wei Hsieh; Xin Li 005; Ming-Ching Chang (AAAI, 2024)

SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking. - Yu-Hsiang Wang; Jun-Wei Hsieh; Ping-Yang Chen; Ming-Ching Chang; Hung-Hin So; Xin Li 005 (AAAI, 2024)

A New Benchmark and Model for Challenging Image Manipulation Detection. - Zhenfei Zhang; Mingyang Li; Ming-Ching Chang (AAAI, 2024)

The 8th AI City Challenge. - Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma; Pranamesh Chakraborty; Sanjita Prajapati; Quan Kong; et al. (CVPR Workshops, 2024)

Learning Multi-Manifold Embedding for Out-of-Distribution Detection. - Jeng-Lin Li; Ming-Ching Chang; Wei-Chao Chen (ECCV Workshops (17), 2024)

Image Manipulation Detection with Implicit Neural Representation and Limited Supervision. - Zhenfei Zhang; Mingyang Li; Xin Li 005; Ming-Ching Chang; Jun-Wei Hsieh (ECCV (88), 2024)

Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation Strategies. - Shang-Jui Kuo; Po-Han Huang; Chia-Ching Lin; Jeng-Lin Li; Ming-Ching Chang (ICASSP, 2024)

Invited Paper: Efficient Design of FHEW/TFHE Bootstrapping Implementation with Scalable Parameters. - Ming-Chien Ho; Yu-Te Ku; Yu Xiao; Feng-Hao Liu; Chih-Fan Hsu; Ming-Ching Chang; Shih-Hao Hung; Wei-Chao Chen (ICCAD, 2024)

Learning With Instance-Dependent Noisy Labels By Anchor Hallucination And Hard Sample Label Correction. - Po-Hsuan Huang; Chia-Ching Lin; Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (ICIP, 2024)

Set-Nas: Sample-Efficient Training For Neural Architecture Search With Strong Predictor And Stratified Sampling. - Yu-Ming Zhang; Jun-Wei Hsieh; Yu-Hsiu Chang; Xin Li 005; Ming-Ching Chang; Chun-Chieh Lee; Kuo-Chin Fan (ICIP, 2024)

Dual-Phase Msqnet for Species-Specific Animal Activity Recognition. - An Yu; Jeremy Varghese; Ferhat Demirkiran; Peter Buonaiuto; Xin Li 005; Ming-Ching Chang (ICME Workshops, 2024)

Leveraging Semantic Segmentation for Image Manipulation Detection and Localization. - Yuwei Chen; Ming-Ching Chang; Xin Li 005 (MIPR, 2024)

TextSleuth: A New Dataset and Baseline for Scene Text Manipulation Detection. - Abhineet Kumar Pandey; Ming-Ching Chang; Xin Li 005 (MIPR, 2024)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation. - Ting Yu Tsai; Li Lin; Shu Hu 001; Ming-Ching Chang; Hongtu Zhu; Xin Wang (MIPR, 2024)

Text-Driven Synchronized Diffusion Video and Audio Talking Head Generation. - Zhenfei Zhang; Tsung-Wei Huang; Guan-Ming Su; Ming-Ching Chang; Xin Li 005 (MIPR, 2024)

MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search. - Yuming Zhang; Jun-Wei Hsieh; Xin Li 005; Ming-Ching Chang; Chun-Chieh Lee; Kuo-Chin Fan (NeurIPS, 2024)

Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation. - Shang-Jui Kuo; Po-Han Huang; Chia-Ching Lin; Jeng-Lin Li; Ming-Ching Chang (CoRR, 2024)

A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective. - Jeng-Lin Li; Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (CoRR, 2024)

Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity. - Ying-Hsuan Wu; Jun-Wei Hsieh; Xin Li 005; Shin-You Teng; Yi-Kuan Hsieh; Ming-Ching Chang (CoRR, 2024)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation. - Ting Yu Tsai; Li Lin; Shu Hu 001; Connie W. Tsao; Xin Li 005; Ming-Ching Chang; Hongtu Zhu; Xin Wang 045 (CoRR, 2024)

LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval. - Weiheng Lu; Jian Li; An Yu; Ming-Ching Chang; Shengpeng Ji; Min Xia (CoRR, 2024)

Image classification for historical documents: a study on Chinese local gazetteers. - Jhe-An Chen; Jen-Chien Hou; Richard Tzong-Han Tsai; Hsiung-Ming Liao; Shih-Pei Chen; Ming-Ching Chang (Digit. Scholarsh. Humanit., 2024)

PreAugNet: improve data augmentation for industrial defect classification with small-scale training data. - Isack Farady; Chih-Yang Lin; Ming-Ching Chang (J. Intell. Manuf., 2024)

Mean-Shift Based Differentiable Architecture Search. - Jun-Wei Hsieh; Cheng-Han Chou; Ming-Ching Chang; Ping-Yang Chen; Santanu Santra; Chih-Sheng Huang (IEEE Trans. Artif. Intell., 2024)

Training-Free Image Manipulation Localization Using Diffusion Models. - Zhenfei Zhang; Ming-Ching Chang; Xin Li 005 (AAAI, 2025)

E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS. - Ziyang Zhang; Yang Zhao 020; Ming-Ching Chang; Changyao Lin; Jie Liu 001 (AAAI, 2025)

Robust Defense Against Adversarial Attacks with Defensive Preprocessing and Adversarial Training. - Chih-Yang Lin; Bing-Hua Lai; Hui-Fuang Ng; Wei-Yang Lin; Ming-Ching Chang (ICCE, 2025)

BF-YOLOv7: Enhancing Helmet Rule Violation Detection. - Chun-Ming Tsai; Jun-Wei Hsieh; Ming-Ching Chang (IEA/AIE (2), 2025)

A Comprehensive Evaluation of Encrypted DNN Inference Methods. - Yu-Te Ku; Ming-Chien Ho; Yu Xiao; Feng-Hao Liu; Chih-Fan Hsu; Ming-Ching Chang; Shih-Hao Hung; Wei-Chao Chen (ISCAS, 2025)

A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations Using Semantic Significance. - Yuwei Chen; Ming-Ching Chang; Matthias Kirchner; Zhenfei Zhang; Xin Li 005; Arslan Basharat; Anthony Hoogs (WACV, 2025)

Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis. - Po-Hsuan Huang; Jeng-Lin Li; Chin-Po Chen; Ming-Ching Chang; Wei-Chao Chen (WACV, 2025)

Optimizing Encrypted Neural Networks: Model Design, Quantization and Fine-Tuning Using FHEW/TFHE. - Yu-Te Ku; Feng-Hao Liu; Chih-Fan Hsu; Ming-Ching Chang; Shih-Hao Hung; I-Ping Tu; Wei-Chao Chen (Proc. Priv. Enhancing Technol., 2025)

GPU Acceleration for FHEW/TFHE Bootstrapping. - Yu Xiao; Feng-Hao Liu; Yu-Te Ku; Ming-Chien Ho; Chih-Fan Hsu; Ming-Ching Chang; Shih-Hao Hung; Wei-Chao Chen (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2025)

Underwater Image Enhancement and Attenuation Restoration Based on Depth and Backscatter Estimation. - Yi-Zeng Hsieh; Ming-Ching Chang (IEEE Trans. Computational Imaging, 2025)

Scale-Aware Crowd Counting Network With Annotation Error Modeling. - Yi-Kuan Hsieh; Jun-Wei Hsieh; Xin Li 005; Yu-Ming Zhang; Yu-Chee Tseng; Ming-Ching Chang (IEEE Trans. Image Process., 2025)

E4: Energy-Efficient DNN Inference for Edge Video Analytics Via Early-Exit and DVFS. - Ziyang Zhang; Yang Zhao 020; Ming-Ching Chang; Changyao Lin; Jie Liu 001 (CoRR, 2025)

IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification. - Ting Yu Tsai; An Yu; Meghana Spurthi Maadugundu; Ishrat Jahan Mohima; Umme Habiba Barsha; Mei-Hwa F. Chen; Balakrishnan Prabhakaran 002; Ming-Ching Chang (CoRR, 2025)

RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation. - Jing Hu 009; Chengming Feng; Shu Hu 001; Ming-Ching Chang; Xin Li 005; Xi Wu 004; Xin Wang 045 (CoRR, 2025)

Open-Set Occluded Person Identification With mmWave Radar. - Tao Wang 118; Yang Zhao 020; Ming-Ching Chang; Jie Liu 001 (IEEE Trans. Mob. Comput., 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; Wei-Chao Chen (CoRR, 2025)

Continual Learning with Synthetic Boundary Experience Blending. - Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (CoRR, 2025)

Spotting the Fakes: A Deep Dive into GAN-Generated Face Detection. - Xin Wang 045; Ting Yu Tsai; Li Lin; Hui Guo; Shu Hu 001; Ming-Ching Chang; Pradeep K. Atrey; Siwei Lyu (ACM Trans. Multim. Comput. Commun. Appl., 2025)

The 9th AI City Challenge. - Zheng Tang; Shuo Wang; David C. Anastasiu; Ming-Ching Chang; Anuj Sharma; Quan Kong; Norimasa Kobori; Munkhjargal Gochoo; Ganzorig Batnasan; Munkh-Erdene Otgonbold; Fady Alnajjar; Jun-Wei Hsieh; et al. (CoRR, 2025)

Unsupervised domain adaptation for cross-style, cross-year land use understanding from historical maps. - Jun-Hua Wang; Andy Da-Yu Wang; Hsiung-Ming Liao; Ming-Ching Chang; Richard Tzong-Han Tsai (Int. J. Geogr. Inf. Sci., 2025)