421 citations · 1.7k across the 83 of their papers we have counts for
14 papers · 1 filter
Adaptive Image Transformations for Transfer-based Adversarial Attack
Zheng Yuan, Jie Zhang, Shiguang Shan
Adversarial attacks provide a good way to study the robustness of deep learning models. One category of methods in transfer-based black-box attack utilizes several image transforma…
Adaptive Perturbation for Adversarial Attack
Zheng Yuan, Jie Zhang, Zhaoyan Jiang +2
In recent years, the security of deep learning models achieves more and more attentions with the rapid development of neural networks, which are vulnerable to adversarial examples.…
Learning Fair Face Representation With Progressive Cross Transformer
Yong Li, Yufei Sun, Zhen Cui +2
Face recognition (FR) has made extraordinary progress owing to the advancement of deep convolutional neural networks. However, demographic bias among different racial cohorts still…
Meta Gradient Adversarial Attack
Zheng Yuan, Jie Zhang, Yunpei Jia +3
In recent years, research on adversarial attacks has become a hot spot. Although current literature on the transfer-based adversarial attack has achieved promising results for impr…
UniCon: Unified Context Network for Robust Active Speaker Detection
Yuanhang Zhang, Susan Liang, Shuang Yang +4
We introduce a new efficient framework, the Unified Context Network (UniCon), for robust active speaker detection (ASD). Traditional methods for ASD usually operate on each candida…
Locality-aware Channel-wise Dropout for Occluded Face Recognition
Mingjie He, Jie Zhang, Shiguang Shan +3
Face recognition remains a challenging task in unconstrained scenarios, especially when faces are partially occluded. To improve the robustness against occlusion, augmenting the tr…
Graph Jigsaw Learning for Cartoon Face Recognition
Yong Li, Lingjie Lao, Zhen Cui +2
Cartoon face recognition is challenging as they typically have smooth color regions and emphasized edges, the key to recognize cartoon faces is to precisely perceive their sparse a…
Gaze Estimation with an Ensemble of Four Architectures
Xin Cai, Boyu Chen, Jiabei Zeng +7
This paper presents a method for gaze estimation according to face images. We train several gaze estimators adopting four different network architectures, including an architecture…
MFR 2021: Masked Face Recognition Competition
Fadi Boutros, Naser Damer, Jan Niklas Kolf +32
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…
Feature Completion for Occluded Person Re-Identification
Ruibing Hou, Bingpeng Ma, Hong Chang +3
Person re-identification (reID) plays an important role in computer vision. However, existing methods suffer from performance degradation in occluded scenes. In this work, we propo…
Meta Auxiliary Learning for Facial Action Unit Detection
Yong Li, Shiguang Shan
Despite the success of deep neural networks on facial action unit (AU) detection, better performance depends on a large number of training images with accurate AU annotations. Howe…
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
Ruibing Hou, Hong Chang, Bingpeng Ma +2
In this paper, we present an efficient spatial-temporal representation for video person re-identification (reID). Firstly, we propose a Bilateral Complementary Network (BiCnet) for…
Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking
Shen Li, Bingpeng Ma, Hong Chang +2
This paper proposes a novel model, named Continuity-Discrimination Convolutional Neural Network (CD-CNN), for visual object tracking. Existing state-of-the-art tracking methods do…
EigenGAN: Layer-Wise Eigen-Learning for GANs
Zhenliang He, Meina Kan, Shiguang Shan
Recent studies on Generative Adversarial Network (GAN) reveal that different layers of a generative CNN hold different semantics of the synthesized images. However, few GAN models…