MFAE: Masked Frequency Autoencoders for Domain Generalization Face Anti-spoofing T Zheng, B Li, S Wu, B Wan, G Mu, S Liu, S Ding, J Wang IEEE Transactions on Information Forensics and Security, 2024 | 14 | 2024 |
FAMIM: A Novel Frequency-Domain Augmentation Masked Image Model Framework for Domain Generalizable Face Anti-Spoofing T Zheng, Q Yu, Z Chen, J Wang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 7 | 2024 |
Towards generalizable data protection with transferable unlearnable examples B Fang, B Li, S Wu, T Zheng, S Ding, R Yi, L Ma arXiv preprint arXiv:2305.11191, 2023 | 6 | 2023 |
Non-uniform timestep sampling: Towards faster diffusion model training T Zheng, C Geng, PT Jiang, B Wan, H Zhang, J Chen, J Wang, B Li Proceedings of the 32nd ACM International Conference on Multimedia, 7036-7045, 2024 | 5 | 2024 |
Beta-tuned timestep diffusion model T Zheng, PT Jiang, B Wan, H Zhang, J Chen, J Wang, B Li European Conference on Computer Vision, 114-130, 2025 | 4 | 2025 |
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing T Zheng arXiv preprint arXiv:2302.08674, 2023 | 3 | 2023 |
MCAE: Masked Contrastive Autoencoder for Face Anti-Spoofing. T Zheng arXiv preprint arXiv:2302.08674, 2023 | 2 | 2023 |
Enhancing the Accuracy of Generative Adversarial Networks with Fokker-Planck Equations J Wang, B Wan, T Zheng, Z Chen Available at SSRN 5014631, 0 | | |
Beta-Tuned Timestep Diffusion Model Supplementary Material T Zheng, PT Jiang, B Wan, H Zhang, J Chen, J Wang, B Li | | |
Collapsing the Learning: Crafting Broadly Transferable Unlearnable Examples B Fang, B Li, S Wu, S Ding, T Zheng, R Yi, L Ma | | |