Yu, Nenghai
University of Science and Technology of China
12 papers on CoChatORCID 0000-0003-4417-9316
Most cited papers
- Verified
Multi-attentional Deepfake Detection
Zhao, H., Wei, T., Zhou, W., Zhang, W., Chen, D., & Yu, N. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 1,019
- Verified
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
Liu, H., Li, X., Zhou, W., Chen, Y., He, Y., Xue, H., Zhang, W., & Yu, N. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 600
- Verified
Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism
Chu, Q., Ouyang, W., Li, H., Wang, X., Liu, B., & Yu, N. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 406
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Protecting Celebrities from DeepFake with Identity Consistency Transformer
Dong, X., Bao, J., Chen, D., Zhang, T., Zhang, W., Yu, N., Chen, D., Wen, F., & Guo, B. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Digital Media Forensic DetectionFace recognition and analysis
Cited by 181
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F 2 Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection
Miao, C., Tan, Z., Chu, Q., Liu, H., Hu, H., & Yu, N. (2023) · IEEE Transactions on Information Forensics and Security
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 172
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GSM: Graph Similarity Model for Multi-Object Tracking
Liu, Q., Chu, Q., Liu, B., & Yu, N. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 123
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Detecting Voice Cloning Attacks via Timbre Watermarking
Liu, C., Zhang, J., Zhang, T., Yang, X., Zhang, W., & Yu, N. (2024) · Proceedings 2024 Network and Distributed System Security Symposium
Advanced Steganography and Watermarking TechniquesSpeech Recognition and Synthesis
Cited by 40
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Identity-Driven DeepFake Detection
Dong, X., Bao, J., Chen, D., Zhang, W., Yu, N., Chen, D., Wen, F., & Guo, B. (2020) · arXiv
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 26
- Verified
Self-supervised Transformer for Deepfake Detection
Zhao, H., Zhou, W., Chen, D., Zhang, W., & Yu, N. (2022) · arXiv
Digital Media Forensic DetectionFace recognition and analysis
Cited by 24
- Verified · note
Exploiting Modality-Specific Features for Multi-Modal Manipulation Detection and Grounding
Wang, J., Liu, B., Miao, C., Zhao, Z., Zhuang, W., Chu, Q., & Yu, N. (2024) · ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Digital Media Forensic DetectionMultimodal Machine Learning Applications
Cited by 12
- Verified
Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features
Yu, X., Chen, K., Yang, Q., Zhang, W., & Yu, N. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 8
- Verified
UniForensics: Face Forgery Detection via General Facial Representation
Fang, Z., Zhao, H., Wei, T., Zhou, W., Wan, M., Wang, Z., Zhang, W., & Yu, N. (2024) · arXiv
Digital Media Forensic DetectionFace recognition and analysis
Cited by 8
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