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20172022
most citedBeyond the Spectrum: Detecting Deepfakes via Re-Synthesis

6 citations · 7 across the 4 of their papers we have counts for

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cs.CV20221 cited

Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

Yangji He, Weihan Liang, Dongyang Zhao +4

This paper presents new hierarchically cascaded transformers that can improve data efficiency through attribute surrogates learning and spectral tokens pooling. Vision transformers…

cs.CV20216 cited

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Yang He, Ning Yu, Margret Keuper +1

The rapid advances in deep generative models over the past years have led to highly {realistic media, known as deepfakes,} that are commonly indistinguishable from real to human ey…

cs.CV2020

Synthetic Convolutional Features for Improved Semantic Segmentation

Yang He, Bernt Schiele, Mario Fritz

Recently, learning-based image synthesis has enabled to generate high-resolution images, either applying popular adversarial training or a powerful perceptual loss. However, it rem…

cs.CV2019

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

Yang He, Shadi Rahimian, Bernt Schiele +1

Today's success of state of the art methods for semantic segmentation is driven by large datasets. Data is considered an important asset that needs to be protected, as the collecti…

cs.CV2018

Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes

Yang He, Bernt Schiele, Mario Fritz

Recent advances in Deep Learning and probabilistic modeling have led to strong improvements in generative models for images. On the one hand, Generative Adversarial Networks (GANs)…

cs.CV2017

Learning Dilation Factors for Semantic Segmentation of Street Scenes

Yang He, Margret Keuper, Bernt Schiele +1

Contextual information is crucial for semantic segmentation. However, finding the optimal trade-off between keeping desired fine details and at the same time providing sufficiently…