Guo, Qing
Tianjin University · Nanyang Technological University
7 papers on CoChatORCID 0000-0003-0974-9299
Most cited papers
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DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms
Qi, H., Guo, Q., Juefei-Xu, F., Xie, X., Ma, L., Feng, W., Liu, Y., & Zhao, J. (2020) · arXiv
Digital Media Forensic DetectionFace recognition and analysis
Cited by 280
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DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms
Qi, H., Guo, Q., Juefei-Xu, F., Xie, X., Ma, L., Feng, W., Liu, Y., & Zhao, J. (2020) · Proceedings of the 28th ACM International Conference on Multimedia
Digital Media Forensic DetectionFace recognition and analysis
Cited by 220
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Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Juefei-Xu, F., Wang, R., Huang, Y., Guo, Q., Ma, L., & Liu, Y. (2022) · International Journal of Computer Vision
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 191
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DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
Wang, R., Juefei-Xu, F., Huang, Y., Guo, Q., Xie, X., Ma, L., & Liu, Y. (2020) · Proceedings of the 28th ACM International Conference on Multimedia
Speech Recognition and SynthesisDigital Media Forensic Detection
Cited by 131
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FakeLocator: Robust Localization of GAN-Based Face Manipulations
Huang, Y., Juefei-Xu, F., Guo, Q., Liu, Y., & Pu, G. (2022) · IEEE Transactions on Information Forensics and Security
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 102
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FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
Huang, Y., Juefei-Xu, F., Wang, R., Guo, Q., Ma, L., Xie, X., Li, J., Miao, W., Liu, Y., & Pu, G. (2020) · Proceedings of the 28th ACM International Conference on Multimedia
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 71
- Verified
Masked Faces with Faced Masks
Zhu, J., Guo, Q., Juefei-Xu, F., Huang, Y., Liu, Y., & Pu, G. (2022) · arXiv
Face recognition and analysisAdversarial Robustness in Machine Learning
Cited by 3
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