A controllable face forgery framework to enrich face-privacy-protection datasets

[1]  S. Ercişli,et al.  Data quality assessment and analysis for pest identification in smart agriculture , 2022, Comput. Electr. Eng..

[2]  K. Levy,et al.  Measuring Explainability and Trustworthiness of Power Quality Disturbances Classifiers Using XAI—Explainable Artificial Intelligence , 2022, IEEE Transactions on Industrial Informatics.

[3]  Yong Zhu,et al.  Enriching Facial Anti-Spoofing Datasets via an Effective Face Swapping Framework , 2022, Sensors.

[4]  S. Ercişli,et al.  A survey of few-shot learning in smart agriculture: developments, applications, and challenges , 2022, Plant methods.

[5]  Xuewei Chao,et al.  Distance-Entropy: An Effective Indicator for Selecting Informative Data , 2022, Frontiers in Plant Science.

[6]  D. Cohen-Or,et al.  Designing an encoder for StyleGAN image manipulation , 2021, ACM Trans. Graph..

[7]  Xuewei Chao,et al.  Semi-supervised few-shot learning approach for plant diseases recognition , 2021, Plant Methods.

[8]  Rongrong Ji,et al.  HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping , 2021, IJCAI.

[9]  Gang Yu,et al.  BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation , 2020, International Journal of Computer Vision.

[10]  Timo Aila,et al.  A Style-Based Generator Architecture for Generative Adversarial Networks , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Bolei Zhou,et al.  Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis , 2019, International Journal of Computer Vision.

[12]  Cuntai Guan,et al.  A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[13]  Jiachen Yang,et al.  MTD-Net: Learning to Detect Deepfakes Images by Multi-Scale Texture Difference , 2021, IEEE Transactions on Information Forensics and Security.

[14]  Jiachen Yang,et al.  Detecting fake images by identifying potential texture difference , 2021, Future Gener. Comput. Syst..

[15]  Yao Zhou,et al.  Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[16]  Yong Liu,et al.  Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose , 2020, AAAI.

[17]  Shiguang Shan,et al.  AttGAN: Facial Attribute Editing by Only Changing What You Want , 2017, IEEE Transactions on Image Processing.

[18]  Abhishek Das,et al.  Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

[19]  Li Fei-Fei,et al.  Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.