Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection

[1]  Kai Xu,et al.  Learning in the Frequency Domain , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[2]  Jiaolong Yang,et al.  Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Feng Liu,et al.  On the Detection of Digital Face Manipulation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[4]  Margret Keuper,et al.  Unmasking DeepFakes with simple Features , 2019, ArXiv.

[5]  Yuxin Wang,et al.  ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[6]  Roberto Cipolla,et al.  Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[7]  Andrew Owens,et al.  CNN-Generated Images Are Surprisingly Easy to Spot… for Now , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[8]  Junichi Yamagishi,et al.  MesoNet: a Compact Facial Video Forgery Detection Network , 2018, 2018 IEEE International Workshop on Information Forensics and Security (WIFS).

[9]  Keecheon Kim,et al.  DeepVision: Deepfakes Detection Using Human Eye Blinking Pattern , 2020, IEEE Access.

[10]  Daan Wierstra,et al.  Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.

[11]  Frank Hutter,et al.  SGDR: Stochastic Gradient Descent with Warm Restarts , 2016, ICLR.

[12]  Mario Fritz,et al.  Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[13]  François Chollet,et al.  Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Hantao Yao,et al.  Multi-Objective Matrix Normalization for Fine-Grained Visual Recognition , 2020, IEEE Transactions on Image Processing.

[15]  Yoshua Bengio,et al.  Generative Adversarial Nets , 2014, NIPS.

[16]  Baining Guo,et al.  Face X-Ray for More General Face Forgery Detection , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[17]  Lei Ma,et al.  DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms , 2020, ACM Multimedia.

[18]  Xin Yang,et al.  Exposing Deep Fakes Using Inconsistent Head Poses , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[19]  Natalia Gimelshein,et al.  PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.

[20]  James Philbin,et al.  FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[21]  Hao Li,et al.  Protecting World Leaders Against Deep Fakes , 2019, CVPR Workshops.

[22]  Junichi Yamagishi,et al.  Distinguishing computer graphics from natural images using convolution neural networks , 2017, 2017 IEEE Workshop on Information Forensics and Security (WIFS).

[23]  Lingyun Wu,et al.  MaskGAN: Towards Diverse and Interactive Facial Image Manipulation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[24]  Siwei Lyu,et al.  Exposing DeepFake Videos By Detecting Face Warping Artifacts , 2018, CVPR Workshops.

[25]  Arnav Bhavsar,et al.  Detecting Deepfakes with Metric Learning , 2020, 2020 8th International Workshop on Biometrics and Forensics (IWBF).

[26]  D. McClish.  Analyzing a Portion of the ROC Curve , 1989, Medical decision making : an international journal of the Society for Medical Decision Making.

[27]  Meng Yang,et al.  Large-Margin Softmax Loss for Convolutional Neural Networks , 2016, ICML.

[28]  Belhassen Bayar,et al.  A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer , 2016, IH&MMSec.

[29]  Ser-Nam Lim,et al.  One-Shot Domain Adaptation for Face Generation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[30]  Andreas Rössler,et al.  ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection , 2018, ArXiv.

[31]  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).

[32]  Max Welling,et al.  Auto-Encoding Variational Bayes , 2013, ICLR.

[33]  Yu Qiao,et al.  A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.

[34]  Jessica J. Fridrich,et al.  Rich Models for Steganalysis of Digital Images , 2012, IEEE Transactions on Information Forensics and Security.

[35]  Lucas Beyer,et al.  In Defense of the Triplet Loss for Person Re-Identification , 2017, ArXiv.

[36]  Irene Kotsia,et al.  RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[37]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[38]  Andreas Rössler,et al.  FaceForensics++: Learning to Detect Manipulated Facial Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[39]  Davide Cozzolino,et al.  Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection , 2017, IH&MMSec.

[40]  Zheng-Jun Zha,et al.  Bidirectional Attention-Recognition Model for Fine-Grained Object Classification , 2020, IEEE Transactions on Multimedia.

[41]  Bolei Zhou,et al.  Interpreting the Latent Space of GANs for Semantic Face Editing , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[42]  Jason Yosinski,et al.  Faster Neural Networks Straight from JPEG , 2018, NeurIPS.

[43]  Justus Thies,et al.  Deferred Neural Rendering: Image Synthesis using Neural Textures , 2019 .

[44]  Shijian Lu,et al.  Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).