Changtao Miao

Orcid: 0000-0002-7634-9992

According to our database1, Changtao Miao authored at least 16 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization.
CoRR, 2024

Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks.
CoRR, 2024

Detect Text Forgery with Non-forged Image Features: A Framework for Detection and Grounding of Image-Text Manipulation.
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.
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.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
F<sup>2</sup>Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection.
IEEE Trans. Inf. Forensics Secur., 2023

Multi-spectral Class Center Network for Face Manipulation Detection and Localization.
CoRR, 2023

Revisiting TENT for Test-Time Adaption Semantic Segmentation and Classification Head Adjustment.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2022
Hierarchical Frequency-Assisted Interactive Networks for Face Manipulation Detection.
IEEE Trans. Inf. Forensics Secur., 2022

Learning Forgery Region-Aware and ID-Independent Features for Face Manipulation Detection.
IEEE Trans. Biom. Behav. Identity Sci., 2022

Transformer-Based Feature Compensation and Aggregation for DeepFake Detection.
IEEE Signal Process. Lett., 2022

Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection Using Adversarial Learning.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature.
CoRR, 2021

Towards Generalizable and Robust Face Manipulation Detection via Bag-of-feature.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

DFGC 2021: A DeepFake Game Competition.
Proceedings of the International IEEE Joint Conference on Biometrics, 2021


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