262 citations · 1.6k across the 58 of their papers we have counts for
51 papers · 1 filter
Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions
Min Ren, Yunlong Wang, Yuhao Zhu +2
Occlusion is a common problem with biometric recognition in the wild. The generalization ability of CNNs greatly decreases due to the adverse effects of various occlusions. To this…
CASIA-Iris-Africa: A Large-scale African Iris Image Database
Jawad Muhammad, Yunlong Wang, Junxing Hu +2
Iris biometrics is a phenotypic biometric trait that has proven to be agnostic to human natural physiological changes. Research on iris biometrics has progressed tremendously, part…
Learning Feature Recovery Transformer for Occluded Person Re-identification
Boqiang Xu, Lingxiao He, Jian Liang +1
One major issue that challenges person re-identification (Re-ID) is the ubiquitous occlusion over the captured persons. There are two main challenges for the occluded person Re-ID…
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation
Kaiduo Zhang, Muyi Sun, Jianxin Sun +4
Text-driven person image generation is an emerging and challenging task in cross-modality image generation. Controllable person image generation promotes a wide range of applicatio…
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Min Ren, Yuhao Zhu, Yunlong Wang +1
Deep learning-based face recognition models are vulnerable to adversarial attacks. To curb these attacks, most defense methods aim to improve the robustness of recognition models a…
PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
Hongwen Zhang, Yating Tian, Yuxiang Zhang +4
We present PyMAF-X, a regression-based approach to recovering parametric full-body models from monocular images. This task is very challenging since minor parametric deviation may…
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks
Zhuojie Wu, Xingqun Qi, Zijian Wang +4
Face inpainting aims to complete the corrupted regions of the face images, which requires coordination between the completed areas and the non-corrupted areas. Recently, memory-ori…
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis
Fan Ji, Muyi Sun, Xingqun Qi +2
Face sketch synthesis has been widely used in multi-media entertainment and law enforcement. Despite the recent developments in deep neural networks, accurate and realistic face sk…
Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning
Jianze Wei, Huaibo Huang, Muyi Sun +4
Iris segmentation is a deterministic part of the iris recognition system. Unreliable segmentation of iris regions especially the limbic area is still the bottleneck problem, which…
A Unified Framework for Biphasic Facial Age Translation with Noisy-Semantic Guided Generative Adversarial Networks
Muyi Sun, Jian Wang, Yunfan Liu +2
Biphasic facial age translation aims at predicting the appearance of the input face at any age. Facial age translation has received considerable research attention in the last deca…
An End-to-End Autofocus Camera for Iris on the Move
Leyuan Wang, Kunbo Zhang, Yunlong Wang +1
For distant iris recognition, a long focal length lens is generally used to ensure the resolution ofiris images, which reduces the depth of field and leads to potential defocus blu…
DFGC 2021: A DeepFake Game Competition
Bo Peng, Hongxing Fan, Wei Wang +20
This paper presents a summary of the DFGC 2021 competition. DeepFake technology is developing fast, and realistic face-swaps are increasingly deceiving and hard to detect. At the s…
CASIA-Face-Africa: A Large-scale African Face Image Database
Jawad Muhammad, Yunlong Wang, Caiyong Wang +2
Face recognition is a popular and well-studied area with wide applications in our society. However, racial bias had been proven to be inherent in most State Of The Art (SOTA) face…
One Shot Face Swapping on Megapixels
Yuhao Zhu, Qi Li, Jian Wang +2
Face swapping has both positive applications such as entertainment, human-computer interaction, etc., and negative applications such as DeepFake threats to politics, economics, etc…
ReMix: Towards Image-to-Image Translation with Limited Data
Jie Cao, Luanxuan Hou, Ming-Hsuan Yang +2
Image-to-image (I2I) translation methods based on generative adversarial networks (GANs) typically suffer from overfitting when limited training data is available. In this work, we…
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
Hongwen Zhang, Yating Tian, Xinchi Zhou +4
Regression-based methods have recently shown promising results in reconstructing human meshes from monocular images. By directly mapping raw pixels to model parameters, these metho…
Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?
Yunfan Liu, Qi Li, Zhenan Sun +1
Generative Adversarial Networks (GANs) with style-based generators (e.g. StyleGAN) successfully enable semantic control over image synthesis, and recent studies have also revealed…
Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification
Boqiang Xu, Lingxiao He, Xingyu Liao +3
Person re-identification (Re-ID) aims at retrieving an input person image from a set of images captured by multiple cameras. Although recent Re-ID methods have made great success,…
Reference-guided Face Component Editing
Qiyao Deng, Jie Cao, Yunfan Liu +3
Face portrait editing has achieved great progress in recent years. However, previous methods either 1) operate on pre-defined face attributes, lacking the flexibility of controllin…
Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
Yu Tian, Kunbo Zhang, Leyuan Wang +1
Face anti-spoofing is the key to preventing security breaches in biometric recognition applications. Existing software-based and hardware-based face liveness detection methods are…
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
Jie Cao, Huaibo Huang, Yi Li +2
The performance of multi-domain image-to-image translation has been significantly improved by recent progress in deep generative models. Existing approaches can use a unified model…
Learning 3D Human Shape and Pose from Dense Body Parts
Hongwen Zhang, Jie Cao, Guo Lu +2
Reconstructing 3D human shape and pose from monocular images is challenging despite the promising results achieved by the most recent learning-based methods. The commonly occurred…
Alignment Free and Distortion Robust Iris Recognition
Min Ren, Caiyong Wang, Yunlong Wang +2
Iris recognition is a reliable personal identification method but there is still much room to improve its accuracy especially in less-constrained situations. For example, free move…
Dynamic Graph Representation for Partially Occluded Biometrics
Min Ren, Yunlong Wang, Zhenan Sun +1
The generalization ability of Convolutional neural networks (CNNs) for biometrics drops greatly due to the adverse effects of various occlusions. To this end, we propose a novel un…