270 citations · 716 across the 11 of their papers we have counts for
11 papers · 1 filter
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips
Jiawang Bai, Kuofeng Gao, Dihong Gong +3
The security of deep neural networks (DNNs) has attracted increasing attention due to their widespread use in various applications. Recently, the deployed DNNs have been demonstrat…
Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations
Jie Jiang, Shaobo Min, Weijie Kong +4
Text-Video Retrieval plays an important role in multi-modal understanding and has attracted increasing attention in recent years. Most existing methods focus on constructing contra…
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang, Zeliang Zhang, Kangheng Tong +4
Decision-based attack poses a severe threat to real-world applications since it regards the target model as a black box and only accesses the hard prediction label. Great efforts h…
End2End Occluded Face Recognition by Masking Corrupted Features
Haibo Qiu, Dihong Gong, Zhifeng Li +2
With the recent advancement of deep convolutional neural networks, significant progress has been made in general face recognition. However, the state-of-the-art general face recogn…
SynFace: Face Recognition with Synthetic Data
Haibo Qiu, Baosheng Yu, Dihong Gong +3
With the recent success of deep neural networks, remarkable progress has been achieved on face recognition. However, collecting large-scale real-world training data for face recogn…
LARNet: Lie Algebra Residual Network for Face Recognition
Xiaolong Yang, Xiaohong Jia, Dihong Gong +3
Face recognition is an important yet challenging problem in computer vision. A major challenge in practical face recognition applications lies in significant variations between pro…
Learning Spatial Attention for Face Super-Resolution
Chaofeng Chen, Dihong Gong, Hao Wang +2
General image super-resolution techniques have difficulties in recovering detailed face structures when applying to low resolution face images. Recent deep learning based methods t…
Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
Lingxue Song, Dihong Gong, Zhifeng Li +2
Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of the face recognition research in the past years. However, existing general CNN face models generalize po…
Decorrelated Adversarial Learning for Age-Invariant Face Recognition
Hao Wang, Dihong Gong, Zhifeng Li +1
There has been an increasing research interest in age-invariant face recognition. However, matching faces with big age gaps remains a challenging problem, primarily due to the sign…
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition
Yitong Wang, Dihong Gong, Zheng Zhou +5
As facial appearance is subject to significant intra-class variations caused by the aging process over time, age-invariant face recognition (AIFR) remains a major challenge in face…
CosFace: Large Margin Cosine Loss for Deep Face Recognition
Hao Wang, Yitong Wang, Zheng Zhou +5
Face recognition has made extraordinary progress owing to the advancement of deep convolutional neural networks (CNNs). The central task of face recognition, including face verific…