Changtao Miao

According to our database, Changtao Miao authored at least 22 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multi-spectral Class Center Network for Face Manipulation Localization.

Changtao Miao, Qi Chu, Zhentao Tan, Zhenchao Jin, Tao Gong, Wanyi Zhuang, Yue Wu, Bin Liu, Honggang Hu, Nenghai Yu

ACM Trans. Multim. Comput. Commun. Appl., August, 2025

DDL: A Dataset for Interpretable Deepfake Detection and Localization in Real-World Scenarios.

Changtao Miao, Yi Zhang, Weize Gao, Man Luo, Weiwei Feng, Zhiya Tan, Jianshu Li, Ajian Liu, Yunfeng Diao, Qi Chu, Tao Gong, Zhe Li, Weibin Yao, Joey Tianyi Zhou

CoRR, June, 2025

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning.

Ajian Liu, Haocheng Yuan, Xiao Guo, Hui Ma, Wanyi Zhuang, Changtao Miao, Yan Hong, Chuanbiao Song, Jun Lan, Qi Chu, Tao Gong, Yanyan Liang, Weiqiang Wang, Jun Wan, Xiaoming Liu, Zhen Lei

CoRR, May, 2025

SUEDE:Shared Unified Experts for Physical-Digital Face Attack Detection Enhancement.

Zuying Xie, Changtao Miao, Ajian Liu, Jiabao Guo, Feng Li, Dan Guo, Yunfeng Diao

CoRR, April, 2025

Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models.

Xingran Zhou, Kun Yang, Changtao Miao, Bingyu Hu, Zhuoer Xu, Shiwen Cui, Changhua Meng, Dan Hong

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Inclusion 2024 Global Multimedia Deepfake Detection: Towards Multi-dimensional Facial Forgery Detection.

Yi Zhang, Weize Gao, Changtao Miao, Man Luo, Jianshu Li, Wenzhong Deng, Zhe Li, Bingyu Hu, Weibin Yao, Wenbo Zhou, Tao Gong, Qi Chu

CoRR, 2024

Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization.

Changtao Miao, Qi Chu, Tao Gong, Zhentao Tan, Zhenchao Jin, Wanyi Zhuang, Man Luo, Honggang Hu, Nenghai Yu

CoRR, 2024

Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks.

Yunfeng Diao, Naixin Zhai, Changtao Miao, Xun Yang, Meng Wang

CoRR, 2024

Detect Text Forgery with Non-forged Image Features: A Framework for Detection and Grounding of Image-Text Manipulation.

Yangyang Wang, Changtao Miao, Qi Chu, Tao Gong, Dianmo Sheng, Jiazhen Wang, Bin Liu, Nenghai Yu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

MFMS: Learning Modality-Fused and Modality-Specific Features for Deepfake Detection and Localization Tasks.

Yi Zhang, Changtao Miao, Man Luo, Jianshu Li, Wenzhong Deng, Weibin Yao, Zhe Li, Bingyu Hu, Weiwei Feng, Tao Gong, Qi Chu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Exploiting Modality-Specific Features for Multi-Modal Manipulation Detection and Grounding.

Jiazhen Wang, Bin Liu, Changtao Miao, Zhiwei Zhao, Wanyi Zhuang, Qi Chu, Nenghai Yu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

F²Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection.

Changtao Miao, Zichang Tan, Qi Chu, Huan Liu, Honggang Hu, Nenghai Yu

IEEE Trans. Inf. Forensics Secur., 2023

Multi-spectral Class Center Network for Face Manipulation Detection and Localization.

Changtao Miao, Qi Chu, Zhentao Tan, Zhenchao Jin, Wanyi Zhuang, Yue Wu, Bin Liu, Honggang Hu, Nenghai Yu

CoRR, 2023

Revisiting TENT for Test-Time Adaption Semantic Segmentation and Classification Head Adjustment.

Xuanpu Zhao, Qi Chu, Changtao Miao, Bin Liu, Nenghai Yu

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Hierarchical Frequency-Assisted Interactive Networks for Face Manipulation Detection.

Changtao Miao, Zichang Tan, Qi Chu, Nenghai Yu, Guodong Guo

IEEE Trans. Inf. Forensics Secur., 2022

Learning Forgery Region-Aware and ID-Independent Features for Face Manipulation Detection.

Changtao Miao, Qi Chu, Weihai Li, Suichan Li, Zhentao Tan, Wanyi Zhuang, Nenghai Yu

IEEE Trans. Biom. Behav. Identity Sci., 2022

Transformer-Based Feature Compensation and Aggregation for DeepFake Detection.

Zichang Tan, Zhichao Yang, Changtao Miao, Guodong Guo

IEEE Signal Process. Lett., 2022

Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection Using Adversarial Learning.

Wanyi Zhuang, Qi Chu, Haojie Yuan, Changtao Miao, Bin Liu, Nenghai Yu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection.

Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan, Changtao Miao, Zixiang Luo, Nenghai Yu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature.

Changtao Miao, Qi Chu, Weihai Li, Tao Gong, Wanyi Zhuang, Nenghai Yu

CoRR, 2021

Towards Generalizable and Robust Face Manipulation Detection via Bag-of-feature.

Changtao Miao, Qi Chu, Weihai Li, Tao Gong, Wanyi Zhuang, Nenghai Yu

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

DFGC 2021: A DeepFake Game Competition.

Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, Qi Li, Zhenan Sun, Han Chen, Baoying Chen, Yanjie Hu, Shenghai Luo, Junrui Huang, Yutong Yao, Boyuan Liu, Hefei Ling, Guosheng Zhang, Zhiliang Xu, Changtao Miao, Changlei Lu, Shan He, Xiaoyan Wu, Wanyi Zhuang

Proceedings of the International IEEE Joint Conference on Biometrics, 2021