activity
20172023
most citedDual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks

21 citations · 23 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2022

Multi-Modal Human Authentication Using Silhouettes, Gait and RGB

Yuxiang Guo, Cheng Peng, Chun Pong Lau +1

Whole-body-based human authentication is a promising approach for remote biometrics scenarios. Current literature focuses on either body recognition based on RGB images or gait rec…

cs.LG20211 cited

Identification of Attack-Specific Signatures in Adversarial Examples

Hossein Souri, Pirazh Khorramshahi, Chun Pong Lau +2

The adversarial attack literature contains a myriad of algorithms for crafting perturbations which yield pathological behavior in neural networks. In many cases, multiple algorithm…

cs.CV202021 cited

Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks

Wei-An Lin, Chun Pong Lau, Alexander Levine +2

Adversarial training is a popular defense strategy against attack threat models with bounded Lp norms. However, it often degrades the model performance on normal images and the def…

cs.CV2019

ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence

Chun Pong Lau, Hossein Souri, Rama Chellappa

Image degradation due to atmospheric turbulence is common while capturing images at long ranges. To mitigate the degradation due to turbulence which includes deformation and blur,…

cs.CV2018

Subsampled Turbulence Removal Network

Wai Ho Chak, Chun Pong Lau, Lok Ming Lui

We present a deep-learning approach to restore a sequence of turbulence-distorted video frames from turbulent deformations and space-time varying blurs. Instead of requiring a mass…

cs.CV2017

Variational models for joint subsampling and reconstruction of turbulence-degraded images

Chun Pong Lau, Yu Hin Lai, Lok Ming Lui

Turbulence-degraded image frames are distorted by both turbulent deformations and space-time-varying blurs. To suppress these effects, we propose a multi-frame reconstruction schem…