暂无分享,去创建一个
Jing Dong | Wei Wang | Bo Peng | Xinsheng Xuan | Jing Dong | Wei Wang | Bo Peng | Xinsheng Xuan
[1] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[3] Timo Aila,et al. A Style-Based Generator Architecture for Generative Adversarial Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[5] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[6] Larry S. Davis,et al. Two-Stream Neural Networks for Tampered Face Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[7] Andreas Rössler,et al. ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection , 2018, ArXiv.
[8] Prafulla Dhariwal,et al. Glow: Generative Flow with Invertible 1x1 Convolutions , 2018, NeurIPS.
[9] Bin Li,et al. Can Forensic Detectors Identify GAN Generated Images? , 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
[10] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[11] Xin Yang,et al. Exposing GAN-synthesized Faces Using Landmark Locations , 2019, IH&MMSec.
[12] Davide Cozzolino,et al. Noiseprint: A CNN-Based Camera Model Fingerprint , 2018, IEEE Transactions on Information Forensics and Security.
[13] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[14] David Berthelot,et al. BEGAN: Boundary Equilibrium Generative Adversarial Networks , 2017, ArXiv.
[15] Bin Li,et al. Detection of Deep Network Generated Images Using Disparities in Color Components , 2018, ArXiv.
[16] Simon S. Woo,et al. Detecting Both Machine and Human Created Fake Face Images In the Wild , 2018, MPS@CCS.
[17] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[18] Luisa Verdoliva,et al. Do GANs Leave Artificial Fingerprints? , 2018, 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
[19] Jan Lukás,et al. Detecting digital image forgeries using sensor pattern noise , 2006, Electronic Imaging.
[20] Bolin Chen,et al. Fake Faces Identification via Convolutional Neural Network , 2018, IH&MMSec.
[21] Bin Li,et al. Identification of deep network generated images using disparities in color components , 2020, Signal Process..
[22] Jessica J. Fridrich,et al. Rich Models for Steganalysis of Digital Images , 2012, IEEE Transactions on Information Forensics and Security.
[23] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[24] Chia-Yen Lee,et al. Learning to Detect Fake Face Images in the Wild , 2018, 2018 International Symposium on Computer, Consumer and Control (IS3C).
[25] Mario Fritz,et al. Learning GAN fingerprints towards Image Attribution , 2018, 1811.08180.
[26] Larry S. Davis,et al. Learning Rich Features for Image Manipulation Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[27] Scott McCloskey,et al. Detecting GAN-generated Imagery using Color Cues , 2018, ArXiv.
[28] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Prabin Kumar Bora,et al. Universal Image Manipulation Detection using Deep Siamese Convolutional Neural Network , 2018, ArXiv.
[30] Tieniu Tan,et al. IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis , 2018, NeurIPS.
[31] Davide Cozzolino,et al. Detection of GAN-Generated Fake Images over Social Networks , 2018, 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).