activity
20162024
most citedDeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

591 citations · 1k across the 33 of their papers we have counts for

collaborators
Showing 2020 · cs.CVShow all

6 papers · 2 filters

cs.CV2020★ 17 cited

EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

Qing Guo, Jingyang Sun, Felix Juefei-Xu +4

Single-image deraining is rather challenging due to the unknown rain model. Existing methods often make specific assumptions of the rain model, which can hardly cover many diverse…

cs.CV2020★ 16 cited

Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack

Yupeng Cheng, Qing Guo, Felix Juefei-Xu +4

Image denoising can remove natural noise that widely exists in images captured by multimedia devices due to low-quality imaging sensors, unstable image transmission processes, or l…

cs.CV2020★ 52 cited

DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

Hua Qi, Qing Guo, Felix Juefei-Xu +5

As the GAN-based face image and video generation techniques, widely known as DeepFakes, have become more and more matured and realistic, there comes a pressing and urgent demand fo…

cs.CV2020★ 6 cited

FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction

Yihao Huang, Felix Juefei-Xu, Run Wang +7

At this moment, GAN-based image generation methods are still imperfect, whose upsampling design has limitations in leaving some certain artifact patterns in the synthesized image.…

cs.CV2020★ 57 cited

Watch out! Motion is Blurring the Vision of Your Deep Neural Networks

Qing Guo, Felix Juefei-Xu, Xiaofei Xie +5

The state-of-the-art deep neural networks (DNNs) are vulnerable against adversarial examples with additive random-like noise perturbations. While such examples are hardly found in…

cs.CV2020★ 6 cited

FakeLocator: Robust Localization of GAN-Based Face Manipulations

Yihao Huang, Felix Juefei-Xu, Qing Guo +2

Full face synthesis and partial face manipulation by virtue of the generative adversarial networks (GANs) and its variants have raised wide public concerns. In the multi-media fore…