64 citations · 103 across the 9 of their papers we have counts for
11 papers
Learning Self-Consistency for Deepfake Detection
Tianchen Zhao, Xiang Xu, Mingze Xu +3
We propose a new method to detect deepfake images using the cue of the source feature inconsistency within the forged images. It is based on the hypothesis that images' distinct so…
On Improving the Generalization of Face Recognition in the Presence of Occlusions
Xiang Xu, Nikolaos Sarafianos, Ioannis A. Kakadiaris
In this paper, we address a key limitation of existing 2D face recognition methods: robustness to occlusions. To accomplish this task, we systematically analyzed the impact of faci…
On Improving Temporal Consistency for Online Face Liveness Detection
Xiang Xu, Yuanjun Xiong, Wei Xia
In this paper, we focus on improving the online face liveness detection system to enhance the security of the downstream face recognition system. Most of the existing frame-based m…
Adversarial Representation Learning for Text-to-Image Matching
Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris
For many computer vision applications such as image captioning, visual question answering, and person search, learning discriminative feature representations at both image and text…
-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Xiang Xu, Xiong Zhou, Ragav Venkatesan +2
Deep neural networks often require copious amount of labeled-data to train their scads of parameters. Training larger and deeper networks is hard without appropriate regularization…
Open Source Face Recognition Performance Evaluation Package
Xiang Xu, Ioannis A. Kakadiaris
Biometrics-related research has been accelerated significantly by deep learning technology. However, there are limited open-source resources to help researchers evaluate their deep…
Robust and High Performance Face Detector
Yundong Zhang, Xiang Xu, Xiaotao Liu
In recent years, face detection has experienced significant performance improvement with the boost of deep convolutional neural networks. In this report, we reimplement the state-o…
Deep Imbalanced Attribute Classification using Visual Attention Aggregation
Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris
For many computer vision applications, such as image description and human identification, recognizing the visual attributes of humans is an essential yet challenging problem. Its…
Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment
Yuhang Wu, Le Anh Vu Ha, Xiang Xu +1
We present a robust method for estimating the facial pose and shape information from a densely annotated facial image. The method relies on Convolutional Point-set Representation (…
Face Detection Using Improved Faster RCNN
Changzheng Zhang, Xiang Xu, Dandan Tu
Faster RCNN has achieved great success for generic object detection including PASCAL object detection and MS COCO object detection. In this report, we propose a detailed designed F…
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition
Xiang Xu, Pengfei Dou, Ha A. Le +1
Most of the face recognition works focus on specific modules or demonstrate a research idea. This paper presents a pose-invariant 3D-aided 2D face recognition system (UR2D) that is…