Multi-task Learning For Detecting and Segmenting Manipulated Facial
Images and Videos

Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos

17 June 2019

Junichi Yamagishi

Isao Echizen

Papers citing "Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos"

7 / 57 papers shown

Title
Video Face Manipulation Detection Through Ensemble of CNNs Nicolò Bonettini E. D. Cannas S. Mandelli Luca Bondi Paolo Bestagini Stefano Tubaro PICV CVBM AAML 10 215 0 16 Apr 2020
DeepFake Detection: Current Challenges and Next Steps Siwei Lyu 49 158 0 11 Mar 2020
FakeLocator: Robust Localization of GAN-Based Face Manipulations Yihao Huang Felix Juefei Xu Jianwen Li Yang Liu G. Pu AAML 14 67 0 27 Jan 2020
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection Liming Jiang Ren Li Wayne Wu Chao Qian Chen Change Loy CVBM PICV 43 437 0 09 Jan 2020
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection Ruben Tolosana R. Vera-Rodríguez Julian Fierrez Aythami Morales J. Ortega-Garcia 3DPC CVBM 40 775 0 01 Jan 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 31 667 0 16 Oct 2019
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection D. Cozzolino Giovanni Poggi L. Verdoliva 101 324 0 14 Mar 2017