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20202026
most citedDeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

20 citations · 179 across the 97 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

cs.CV2021

Stochastic Actor-Executor-Critic for Image-to-Image Translation

Ziwei Luo, Jing Hu, Xin Wang +5

Training a model-free deep reinforcement learning model to solve image-to-image translation is difficult since it involves high-dimensional continuous state and action spaces. In t…

eess.IV2021

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration

Ziwei Luo, Jing Hu, Xin Wang +6

Large deformations of organs, caused by diverse shapes and nonlinear shape changes, pose a significant challenge for medical image registration. Traditional registration methods ne…

cs.CR2021★ 4 cited

Adaptive Warden Strategy for Countering Network Covert Storage Channels

Mehdi Chourib, Steffen Wendzel, Wojciech Mazurczyk

The detection and elimination of covert channels are performed by a network node, known as a warden. Especially if faced with adaptive covert communication parties, a regular warde…

cs.CV2021★ 5 cited

Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks

Bor-Shiun Wang, Jun-Wei Hsieh, Ming-Ching Chang +3

Pooling is a simple but essential layer in modern deep CNN architectures for feature aggregation and extraction. Typical CNN design focuses on the conv layers and activation functi…

cs.CV2021★ 7 cited

Robust Attentive Deep Neural Network for Exposing GAN-generated Faces

Hui Guo, Shu Hu, Xin Wang +2

GAN-based techniques that generate and synthesize realistic faces have caused severe social concerns and security problems. Existing methods for detecting GAN-generated faces can p…

cs.CV2021★ 4 cited

Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces

Hui Guo, Shu Hu, Xin Wang +2

Generative adversary network (GAN) generated high-realistic human faces have been used as profile images for fake social media accounts and are visually challenging to discern from…