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2020 – today
- 2024
[j17]Isack Farady, Chih-Yang Lin
, Ming-Ching Chang:
PreAugNet: improve data augmentation for industrial defect classification with small-scale training data. J. Intell. Manuf. 35(3): 1233-1246 (2024)- [j16]Jhe-An Chen, Jen-Chien Hou, Richard Tzong-Han Tsai, Hsiung-Ming Liao, Shih-Pei Chen, Ming-Ching Chang:
Image classification for historical documents: a study on Chinese local gazetteers. Digit. Scholarsh. Humanit. 39(1): 61-73 (2024) - [j15]Jun-Wei Hsieh, Cheng-Han Chou, Ming-Ching Chang, Ping-Yang Chen, Santanu Santra, Chih-Sheng Huang:
Mean-Shift Based Differentiable Architecture Search. IEEE Trans. Artif. Intell. 5(3): 1235-1246 (2024) - [c95]Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Hung-Hin So, Xin Li:
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking. AAAI 2024: 5740-5748 - [c94]Zhenfei Zhang, Mingyang Li, Ming-Ching Chang:
A New Benchmark and Model for Challenging Image Manipulation Detection. AAAI 2024: 7405-7413 - [c93]Ying-Yu Chen, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang:
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention. AAAI 2024: 11434-11442 - [c92]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CVPR Workshops 2024: 7261-7272 - [c91]Shang-Jui Kuo, Po-Han Huang, Chia-Ching Lin, Jeng-Lin Li, Ming-Ching Chang:
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation Strategies. ICASSP 2024: 2011-2015 - [c90]An Yu, Jeremy Varghese, Ferhat Demirkiran, Peter Buonaiuto, Xin Li, Ming-Ching Chang:
Dual-Phase Msqnet for Species-Specific Animal Activity Recognition. ICME Workshops 2024: 1-6 - [c89]Zhenfei Zhang, Tsung-Wei Huang, Guan-Ming Su, Ming-Ching Chang, Xin Li:
Text-Driven Synchronized Diffusion Video and Audio Talking Head Generation. MIPR 2024: 61-67 - [c88]Yuwei Chen, Ming-Ching Chang, Xin Li:
Leveraging Semantic Segmentation for Image Manipulation Detection and Localization. MIPR 2024: 95-101 - [c87]Ting Yu Tsai, Li Lin, Shu Hu, Ming-Ching Chang, Hongtu Zhu, Xin Wang:
UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation. MIPR 2024: 267-273 - [c86]Abhineet Kumar Pandey, Ming-Ching Chang, Xin Li:
TextSleuth: A New Dataset and Baseline for Scene Text Manipulation Detection. MIPR 2024: 362-368 - [i35]Shang-Jui Kuo, Po-Han Huang, Chia-Ching Lin, Jeng-Lin Li, Ming-Ching Chang:
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation. CoRR abs/2401.08422 (2024) - [i34]Jeng-Lin Li, Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen:
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective. CoRR abs/2402.12627 (2024) - [i33]Ying-Hsuan Wu, Jun-Wei Hsieh, Li Xin, Shin-You Teng, Yi-Kuan Hsieh, Ming-Ching Chang:
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity. CoRR abs/2403.02363 (2024) - [i32]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CoRR abs/2404.09432 (2024) - [i31]Po-Hsuan Huang, Chia-Ching Lin, Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen:
Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction. CoRR abs/2407.07331 (2024) - [i30]Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen:
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection. CoRR abs/2409.12479 (2024) - [i29]Ting Yu Tsai, Li Lin, Shu Hu, Connie W. Tsao, Xin Li, Ming-Ching Chang, Hongtu Zhu, Xin Wang:
UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation. CoRR abs/2409.14305 (2024) - 2023
- [c85]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:
FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection. CVPR Workshops 2023: 5305-5313 - [c84]Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang, Guan-Lin He, Ping-Yang Chen, Wei-Tsung Chang, Yi-Kuan Hsieh:
Video Analytics for Detecting Motorcyclist Helmet Rule Violations. CVPR Workshops 2023: 5366-5374 - [c83]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:
PRB-FPN+: Video Analytics for Enforcing Motorcycle Helmet Laws. CVPR Workshops 2023: 5477-5485 - [c82]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CVPR Workshops 2023: 5538-5548 - [c81]Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu:
GAN-Generated Faces Detection: A Survey and New Perspectives. ECAI 2023: 2533-2542 - [c80]Tzu-Li Liu, Yu-Te Ku, Ming-Chien Ho, Feng-Hao Liu, Ming-Ching Chang, Chih-Fan Hsu, Wei-Chao Chen, Shih-Hao Hung:
An Efficient CKKS-FHEW/TFHE Hybrid Encrypted Inference Framework. ESORICS Workshops (2) 2023: 535-551 - [c79]Ping-Yang Chen, Jun-Wei Hsieh, Ming-Ching Chang, Munkhjargal Gochoo, Fang-Pang Lin, Yong-Sheng Chen:
Fisheye Multiple Object Tracking by Learning Distortions Without Dewarping. ICIP 2023: 1855-1859 - [c78]Ke-Han Li, Chih-Fan Hsu, Ming-Ching Chang, Feng-Hao Liu, Shao-Yi Chien, Wei-Chao Chen:
Region-aware Photo Assurance System for Image Authentication. MIPR 2023: 1-6 - [c77]Zhenfei Zhang, Ming-Ching Chang:
Two-Stage Dual Augmentation with CLIP for Improved Text-to-Sketch Synthesis. MIPR 2023: 1-6 - [c76]Yuwei Chen, Ming-Ching Chang:
Transformer Based Image-Text Consistency Analysis for Infographic Articles. MIPR 2023: 47-52 - [i28]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CoRR abs/2304.07500 (2023) - [i27]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:
FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection. CoRR abs/2305.17449 (2023) - [i26]Yu-Xiang Zeng, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang:
MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild. CoRR abs/2308.12817 (2023) - [i25]Zhenfei Zhang, Mingyang Li, Ming-Ching Chang:
A New Benchmark and Model for Challenging Image Manipulation Detection. CoRR abs/2311.14218 (2023) - [i24]Yi-Kuan Hsieh, Jun-Wei Hsieh, Yu-Chee Tseng, Ming-Ching Chang, Li Xin:
Scale-Aware Crowd Count Network with Annotation Error Correction. CoRR abs/2312.16771 (2023) - 2022
- [j14]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces. IEEE Access 10: 32574-32583 (2022) - [j13]Wenbo Li, Yi Wei, Siwei Lyu, Ming-Ching Chang:
Simultaneous multi-person tracking and activity recognition based on cohesive cluster search. Comput. Vis. Image Underst. 214: 103301 (2022) - [j12]Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
DetPoseNet: Improving Multi-Person Pose Estimation via Coarse-Pose Filtering. IEEE Trans. Image Process. 31: 2782-2795 (2022) - [c75]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CVPR Workshops 2022: 3346-3355 - [c74]Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan:
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. CVPR Workshops 2022: 4389-4397 - [c73]Shuchen Weng, Yi Wei, Ming-Ching Chang, Boxin Shi:
Instance Contour Adjustment via Structure-Driven CNN. ECCV (7) 2022: 146-161 - [c72]Ehab A. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu:
Vocbench: A Neural Vocoder Benchmark for Speech Synthesis. ICASSP 2022: 881-885 - [c71]Zhenfei Zhang, Ming-Ching Chang, Tien D. Bui:
Improving Class Activation Map for Weakly Supervised Object Localization. ICASSP 2022: 2624-2628 - [c70]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces. ICASSP 2022: 2904-2908 - [c69]Mingzhen Huang, Shan Jia, Ming-Ching Chang, Siwei Lyu:
Text-Image De-Contextualization Detection Using Vision-Language Models. ICASSP 2022: 8967-8971 - [c68]Yuwei Chen, Ming-Ching Chang:
On Multimodal Semantic Consistency Detection of News Articles with Image Caption Pairs. ICCE-TW 2022: 355-356 - [c67]Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen:
A Robust Collaborative Learning Framework Using Data Digests and Synonyms to Represent Absent Clients. MIPR 2022: 14-19 - [c66]Fityanul Akhyar, Ledya Novamizanti, Trianusa Putra, Elvin Nur Furqon, Ming-Ching Chang, Chih-Yang Lin:
Lightning YOLOv4 for a Surface Defect Detection System for Sawn Lumber. MIPR 2022: 184-189 - [c65]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces. MIPR 2022: 224-227 - [c64]Chih-Fan Hsu, Jing-Lun Huang, Feng-Hao Liu, Ming-Ching Chang, Wei-Chao Chen:
FedTrust: Towards Building Secure Robust and Trustworthy Moderators for Federated Learning. MIPR 2022: 318-323 - [c63]Yuwei Chen, Ming-Ching Chang:
Towards Multimodal Semantic Consistency Analysis of Long Form Articles. MIPR 2022: 342-347 - [i23]Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu:
GAN-generated Faces Detection: A Survey and New Perspectives. CoRR abs/2202.07145 (2022) - [i22]Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan:
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. CoRR abs/2203.05983 (2022) - [i21]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CoRR abs/2204.10380 (2022) - [i20]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces. CoRR abs/2205.06680 (2022) - [i19]Yi-Chun Wang, Jun-Wei Hsieh, Ming-Ching Chang:
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation. CoRR abs/2210.00698 (2022) - [i18]Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen:
FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients. CoRR abs/2210.00737 (2022) - [i17]Yi-Kuan Hsieh, Jun-Wei Hsieh, Yu-Chee Tseng, Ming-Ching Chang, Bor-Shiun Wang:
Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network. CoRR abs/2211.06835 (2022) - [i16]Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang:
SMILEtrack: SiMIlarity LEarning for Multiple Object Tracking. CoRR abs/2211.08824 (2022) - 2021
- [j11]Yuezun Li, Ming-Ching Chang, Pu Sun, Honggang Qi, Junyu Dong, Siwei Lyu:
TransRPN: Towards the Transferable Adversarial Perturbations using Region Proposal Networks and Beyond. Comput. Vis. Image Underst. 213: 103302 (2021) - [j10]Mu-Chun Su, Chun-Ting Cheng, Ming-Ching Chang, Yi-Zeng Hsieh:
A Video Analytic In-Class Student Concentration Monitoring System. IEEE Trans. Consumer Electron. 67(4): 294-304 (2021) - [j9]Ming-Ching Chang, Lipeng Ke, Honggang Qi, Longyin Wen, Siwei Lyu:
Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions. IEEE Trans. Cybern. 51(1): 2-15 (2021) - [j8]Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen:
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection. IEEE Trans. Image Process. 30: 9099-9111 (2021) - [c62]Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan:
The 2020 Low-Power Computer Vision Challenge. AICAS 2021: 1-4 - [c61]Shou-Fang Wu, Ming-Ching Chang, Siwei Lyu, Cheng-Shih Wong, Abhineet Kumar Pandey, Po-Chi Su:
FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild. AVSS 2021: 1-8 - [c60]Guangliang Zhao, Abhineet Kumar Pandey, Ming-Ching Chang, Siwei Lyu:
A Video Analytic System for Rail Crossing Point Protection. AVSS 2021: 1-8 - [c59]Yao-Hui Huang, Jun-Wei Hsieh, Ming-Ching Chang, Lipeng Ke, Siwei Lyu, Arpita Samanta Santra:
Multi-Teacher Single-Student Visual Transformer with Multi-Level Attention for Face Spoofing Detection. BMVC 2021: 125 - [c58]Bor-Shiun Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Lipeng Ke, Siwei Lyu:
Learnable Discrete Wavelet Pooling (LDW-Pooling) for Convolutional Networks. BMVC 2021: 200 - [c57]Yun-Lun Li, Zhi-Yi Chin, Ming-Ching Chang, Chen-Kuo Chiang:
Multi-Camera Tracking by Candidate Intersection Ratio Tracklet Matching. CVPR Workshops 2021: 4103-4111 - [c56]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CVPR Workshops 2021: 4263-4273 - [i15]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CoRR abs/2104.12233 (2021) - [i14]Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Santanu Santra, Cheng-Han Chou, Chih-Sheng Huang:
MS-DARTS: Mean-Shift Based Differentiable Architecture Search. CoRR abs/2108.09996 (2021) - [i13]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces. CoRR abs/2109.00162 (2021) - [i12]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces. CoRR abs/2109.02167 (2021) - [i11]Jun-Wei Hsieh, Ming-Ching Chang, Bor-Shiun Wang, Ping-Yang Chen, Lipeng Ke, Siwei Lyu:
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks. CoRR abs/2109.06638 (2021) - [i10]Ehab A. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu:
VocBench: A Neural Vocoder Benchmark for Speech Synthesis. CoRR abs/2112.03099 (2021) - 2020
- [j7]Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu:
UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking. Comput. Vis. Image Underst. 193: 102907 (2020) - [c55]Yi Wei, Wenbo Li, Yanbo Fan, Linghan Xu, Ming-Ching Chang, Siwei Lyu:
3D Single-Person Concurrent Activity Detection Using Stacked Relation Network. AAAI 2020: 12329-12337 - [c54]Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. ACCV (4) 2020: 661-678 - [c53]Ming-Ching Chang, Chen-Kuo Chiang, Chun-Ming Tsai, Yun-Kai Chang, Hsuan-Lun Chiang, Yu-An Wang, Shih-Ya Chang, Yun-Lun Li, Ming-Shuin Tsai, Hung-Yu Tseng:
AI City Challenge 2020 - Computer Vision for Smart Transportation Applications. CVPR Workshops 2020: 2638-2647 - [c52]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CVPR Workshops 2020: 2665-2674 - [c51]Rui Wang, Ming-Ching Chang, Marleen Radigan:
Modeling Latent Comorbidity for Health Risk Prediction Using Graph Convolutional Network. FLAIRS 2020: 341-346 - [c50]Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Ming-Ching Chang, Chien-Yao Wang, Yong-Sheng Chen, Hong-Yuan Mark Liao:
Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections. ICIP 2020: 1521-1525 - [c49]Ming-Ching Chang, Guangliang Zhao, Abhineet Kumar Pandey, Andrew Pulver, Peter H. Tu:
Railcar Detection, Identification and Tracking for Rail Yard Management. ICIP 2020: 2271-2275 - [c48]Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang, Yu-Chen Lin:
Driver License Field Detection Using Real-Time Deep Networks. IEA/AIE 2020: 603-613 - [c47]Yi Wei, Wenbo Li, Ming-Ching Chang, Hongxia Jin, Siwei Lyu:
Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection. IROS 2020: 8970-8975 - [i9]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CoRR abs/2004.14619 (2020) - [i8]Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. CoRR abs/2010.01424 (2020) - [i7]Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen:
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection. CoRR abs/2012.01724 (2020)
2010 – 2019
- 2019
- [j6]Xin Wang, Ming-Ching Chang, Lan Wang, Siwei Lyu:
Efficient algorithms for graph regularized PLSA for probabilistic topic modeling. Pattern Recognit. 86: 236-247 (2019) - [c46]Yuezun Li, Longyin Wen, Ming-Ching Chang, Siwei Lyu:
Graph-to-Graph Energy Minimization for Video Object Segmentation. AVSS 2019: 1-8 - [c45]Yuezun Li, Xiao Bian, Ming-Ching Chang, Siwei Lyu:
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches. BMVC 2019: 218 - [c44]Ming-Ching Chang, Jiayi Wei, Zheng-An Zhu, Yan-Ming Chen, Chan-Shuo Hu, Ming-Xiu Jiang, Chen-Kuo Chiang:
AI City Challenge 2019 - City-Scale Video Analytics for Smart Transportation. CVPR Workshops 2019: 99-108 - [c43]Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu:
The 2019 AI City Challenge. CVPR Workshops 2019: 452-460 - [c42]Yang Zhao, Ming-Ching Chang, Peter H. Tu:
Deep intelligent network for device-free people tracking: WIP abstract. ICCPS 2019: 302-303 - [c41]Yang Zhao, Peter H. Tu, Ming-Ching Chang:
Occupancy Sensing and Activity Recognition with Cameras and Wireless Sensors. DATA@SenSys 2019: 1-6 - 2018
- [j5]Ming-Ching Chang, Ting Yu, Jiajia Luo, Kun Duan, Peter H. Tu, Yang Zhao, Nandini Nagraj, Vrinda Rajiv, Michael Priebe, Elena A. Wood, Maximillian Stachura:
Multimodal Sensor System for Pressure Ulcer Wound Assessment and Care. IEEE Trans. Ind. Informatics 14(3): 1186-1196 (2018) - [c40]Yuezun Li, Xiao Bian, Ming-Ching Chang, Longyin Wen, Siwei Lyu:
Pixel Offset Regression (POR) for Single-shot Instance Segmentation. AVSS 2018: 1-6 - [c39]Siwei Lyu, Ming-Ching Chang, Dawei Du, Wenbo Li, Yi Wei, Marco Del Coco, Pierluigi Carcagnì, Arne Schumann, Bharti Munjal, Dinh-Quoc-Trung Dang, Doo-Hyun Choi, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guna Seetharaman, Jang-Woon Baek, Jong Taek Lee, Kannappan Palaniappan, Kil-Taek Lim, Kiyoung Moon, Kwang-Ju Kim, Lars Sommer, Meltem Brandlmaier, Minsung Kang, Moongu Jeon, Noor M. Al-Shakarji, Oliver Acatay, Pyong-Kun Kim, Sikandar Amin, Thomas Sikora, Tien Ba Dinh, Tobias Senst, Vu-Gia-Hy Che, Young-Chul Lim, Young-min Song, Yun-Su Chung:
UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS 2018: 1-6 - [c38]Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu:
Robust Adversarial Perturbation on Deep Proposal-based Models. BMVC 2018: 231 - [c37]Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu:
The 2018 NVIDIA AI City Challenge. CVPR Workshops 2018: 53-60 - [c36]Ming-Ching Chang, Yi Wei, Nenghui Song, Siwei Lyu:
Video Analytics in Smart Transportation for the AIC'18 Challenge. CVPR Workshops 2018: 61-68 - [c35]Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
Multi-Scale Structure-Aware Network for Human Pose Estimation. ECCV (2) 2018: 731-746 - [c34]Lipeng Ke, Honggang Qi, Ming-Ching Chang, Siwei Lyu:
Multi-Scale Supervised Network for Human Pose Estimation. ICIP 2018: 564-568 - [c33]Yi Wei, Ming-Ching Chang, Yiming Ying, Ser Nam Lim, Siwei Lyu:
Explain Black-box Image Classifications Using Superpixel-based Interpretation. ICPR 2018: 1640-1645 - [c32]Yuezun Li, Ming-Ching Chang, Siwei Lyu:
In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking. WIFS 2018: 1-7 - [i6]Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
Multi-Scale Structure-Aware Network for Human Pose Estimation. CoRR abs/1803.09894 (2018) - [i5]Yuezun Li, Ming-Ching Chang, Siwei Lyu:
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking. CoRR abs/1806.02877 (2018) - [i4]Wenbo Li, Ming-Ching Chang, Siwei Lyu:
Who did What at Where and When: Simultaneous Multi-Person Tracking and Activity Recognition. CoRR abs/1807.01253 (2018) - [i3]Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
Multi-Scale Supervised Network for Human Pose Estimation. CoRR abs/1808.01623 (2018) - [i2]Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu:
Robust Adversarial Perturbation on Deep Proposal-based Models. CoRR abs/1809.05962 (2018) - 2017
- [j4]Longyin Wen, Zhen Lei, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph. Int. J. Comput. Vis. 122(2): 313-333 (2017) - [c31]Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagnì, Dmitriy Anisimov, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guang Han, Hao Ye, Hong Wang, Kannappan Palaniappan, Koray Ozcan, Li Wang, Liang Wang, Martin Lauer, Nattachai Watcharapinchai, Nenghui Song, Noor M. Al-Shakarji, Shuo Wang, Sikandar Amin, Sitapa Rujikietgumjorn, Tatiana Khanova, Thomas Sikora, Tino Kutschbach, Volker Eiselein, Wei Tian, Xiangyang Xue, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang:
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS 2017: 1-7 - [c30]Wenbo Li, Longyin Wen, Ming-Ching Chang, Ser Nam Lim, Siwei Lyu:
Adaptive RNN Tree for Large-Scale Human Action Recognition. ICCV 2017: 1453-1461 - [c29]Shengkun Li, Dawei Du, Longyin Wen, Ming-Ching Chang, Siwei Lyu:
Hybrid structure hypergraph for online deformable object tracking. ICIP 2017: 1127-1131 - [c28]Ming-Ching Chang, Ting Yi, Kun Duan, Jiajia Luo, Peter H. Tu, Michael Priebe, Elena A. Wood, Max E. Stachura:
In-bed patient motion and pose analysis using depth videos for pressure ulcer prevention. ICIP 2017: 4118-4122 - [c27]Ming-Ching Chang, Yi Yao, Guan Li, Yan Tong, Peter H. Tu:
Cloud tracking for solar irradiance prediction. ICIP 2017: 4387-4391 - [c26]Milind Naphade, David C. Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Jerry Zeyu Gao:
The NVIDIA AI City Challenge. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c25]Yi Wei, Nenghui Song, Lipeng Ke, Ming-Ching Chang, Siwei Lyu:
Street object detection / tracking for AI city traffic analysis. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-5 - 2016
- [c24]Xin Wang, Ming-Ching Chang, Yiming Ying, Siwei Lyu:
Co-Regularized PLSA for Multi-Modal Learning. AAAI 2016: 2166-2172 - [c23]Yueming Yang, Ming-Ching Chang, Longyin Wen, Peter H. Tu, Honggang Qi, Siwei Lyu:
Efficient large-scale photometric reconstruction using Divide-Recon-Fuse 3D Structure from Motion. AVSS 2016: 180-186 - [c22]Peter H. Tu, Ming-Ching Chang, Tao Gao:
Crowd analytics via one shot learning and agent based inference. GlobalSIP 2016: 1181-1185 - 2015
- [c21]Ming-Ching Chang, Honggang Qi, Xin Wang, Hong Cheng, Siwei Lyu:
Fast Online Upper Body Pose Estimation from Video. BMVC 2015: 104.1-104.12 - [c20]Jixu Chen, Ming-Ching Chang, Peter H. Tu:
A live video analytic system for affect analysis in public space. FG 2015: 1 - [c19]Yelin Kim, Jixu Chen, Ming-Ching Chang, Xin Wang, Emily Mower Provost, Siwei Lyu:
Modeling transition patterns between events for temporal human action segmentation and classification. FG 2015: 1-8 - [c18]Jixu Chen, Ming-Ching Chang, Tai-Peng Tian, Ting Yu, Peter H. Tu:
Bridging computer vision and social science: A multi-camera vision system for social interaction training analysis. ICIP 2015: 823-826 - [c17]Yueming Yang, Ming-Ching Chang, Peter H. Tu, Siwei Lyu:
Seeing as it happens: Real time 3D video event visualization. ICIP 2015: 2875-2879 - [i1]Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu:
DETRAC: A New Benchmark and Protocol for Multi-Object Tracking. CoRR abs/1511.04136 (2015) - 2012
- [c16]Yimeng Zhang, Xiaoming Liu, Ming-Ching Chang, Weina Ge, Tsuhan Chen:
Spatio-Temporal Phrases for Activity Recognition. ECCV (3) 2012: 707-721 - [c15]Yimeng Zhang, Weina Ge, Ming-Ching Chang, Xiaoming Liu:
Group context learning for event recognition. WACV 2012: 249-255 - 2011
- [j3]Ming-Ching Chang, Benjamin B. Kimia:
Measuring 3D shape similarity by graph-based matching of the medial scaffolds. Comput. Vis. Image Underst. 115(5): 707-720 (2011) - [c14]Nils Krahnstoever, Ming-Ching Chang, Weina Ge:
Gaze and body pose estimation from a distance. AVSS 2011: 11-16 - [c13]Ming-Ching Chang, Nils Krahnstoever, Weina Ge:
Probabilistic group-level motion analysis and scenario recognition. ICCV 2011: 747-754 - [c12]Yingxuan Zhu, Ming-Ching Chang, Sandeep Gupta:
Automated determination of arterial input function for DCE-MRI of the prostate. Medical Imaging: Computer-Aided Diagnosis 2011: 79630W - [c11]Karthik Sankaranarayanan, Ming-Ching Chang, Nils Krahnstoever:
Tracking gaze direction from far-field surveillance cameras. WACV 2011: 519-526 - 2010
- [c10]Ming-Ching Chang, Nils Krahnstoever, Sernam Lim, Ting Yu:
Group Level Activity Recognition in Crowded Environments across Multiple Cameras. AVSS 2010: 56-63 - [c9]Ming-Ching Chang, Xiaodong Tao:
Subvoxel segmentation and representation of brain cortex using fuzzy clustering and gradient vector diffusion. Medical Imaging: Image Processing 2010: 76231L - [c8]Ming-Ching Chang, Nhon H. Trinh, Braden C. Fleming, Benjamin B. Kimia:
Reliable fusion of knee bone laser scans to establish ground truth for cartilage thickness measurement. Medical Imaging: Image Processing 2010: 76232M - [c7]Xiaodong Tao, Ming-Ching Chang:
A skull stripping method using deformable surface and tissue classification. Medical Imaging: Image Processing 2010: 76233L - [c6]Frederic F. Leymarie, Ming-Ching Chang, Celina Imielinska, Benjamin B. Kimia:
A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds. VCBM 2010: 65-74
2000 – 2009
- 2009
- [j2]Ming-Ching Chang, Frederic F. Leymarie, Benjamin B. Kimia:
Surface reconstruction from point clouds by transforming the medial scaffold. Comput. Vis. Image Underst. 113(11): 1130-1146 (2009) - [c5]Ming-Ching Chang, Benjamin B. Kimia:
Measuring 3D shape similarity by matching the medial scaffolds. ICCV Workshops 2009: 1473-1480 - 2008
- [c4]Ming-Ching Chang, Benjamin B. Kimia:
Regularizing 3D medial axis using medial scaffold transforms. CVPR 2008 - 2007
- [c3]Ming-Ching Chang, Frederic F. Leymarie, Benjamin B. Kimia:
Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold. 3DIM 2007: 13-20 - 2004
- [c2]Ming-Ching Chang, Frederic F. Leymarie, Benjamin B. Kimia:
3D Shape Registration using Regularized Medial Scaffolds. 3DPVT 2004: 987-994 - 2001
- [j1]Ming-Ching Chang, Chiou-Shann Fuh, Hsien-Yei Chen:
Fast Search Algorithms for Industrial Inspection. Int. J. Pattern Recognit. Artif. Intell. 15(4): 675-690 (2001)
1990 – 1999
- 1998
- [c1]Ming-Ching Chang, Hsien-Yei Chen, Chiou-Shann Fuh:
Fast Search Algorithms for IC Printed Mark Quality Inspection. MVA 1998: 183-188
Coauthor Index
[c81] [j14] [j13] [j12] [c74] [c72] [c70] [c69] [c65] [i23] [i22] [i20] [j11] [j9] [c61] [c60] [c59] [c58] [i13] [i12] [i11] [i10] [j7] [c55] [c54] [c47] [i8] [j6] [c46] [c45] [c43] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [i6] [i5] [i4] [i3] [i2] [j4] [c31] [c30] [c29] [c26] [c25] [c24] [c23] [c21] [c19] [c17] [i1]
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