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20152023
most citedA Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

262 citations · 1.6k across the 58 of their papers we have counts for

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Showing 2019 · cs.CVShow all

11 papers · 2 filters

cs.CV2019★ 8 cited

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…

cs.CV2019

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…

cs.CV2019★ 4 cited

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…

cs.CV2019★ 6 cited

A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging

Yunfan Liu, Qi Li, Zhenan Sun +1

Face aging, which aims at aesthetically rendering a given face to predict its future appearance, has received significant research attention in recent years. Although great progres…

cs.CV2019★ 5 cited

Biphasic Learning of GANs for High-Resolution Image-to-Image Translation

Jie Cao, Huaibo Huang, Yi Li +3

Despite that the performance of image-to-image translation has been significantly improved by recent progress in generative models, current methods still suffer from severe degrada…

cs.CV2019★ 52 cited

Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification

Lingxiao He, Yinggang Wang, Wu Liu +4

Re-identifying a person across multiple disjoint camera views is important for intelligent video surveillance, smart retailing and many other applications. However, existing person…

cs.CV2019★ 7 cited

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis

Peipei Li, Xiang Wu, Yibo Hu +2

Facial images in surveillance or mobile scenarios often have large view-point variations in terms of pitch and yaw angles. These jointly occurred angle variations make face recogni…

cs.CV2019★ 3 cited

UVA: A Universal Variational Framework for Continuous Age Analysis

Peipei Li, Huaibo Huang, Yibo Hu +3

Conventional methods for facial age analysis tend to utilize accurate age labels in a supervised way. However, existing age datasets lies in a limited range of ages, leading to a l…

cs.CV2019★ 6 cited

Age Progression and Regression with Spatial Attention Modules

Qi Li, Yunfan Liu, Zhenan Sun

Age progression and regression refers to aesthetically render-ing a given face image to present effects of face aging and rejuvenation, respectively. Although numerous studies have…

cs.CV2019★ 8 cited

Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition

Ran He, Jie Cao, Lingxiao Song +2

Near infrared-visible (NIR-VIS) heterogeneous face recognition refers to the process of matching NIR to VIS face images. Current heterogeneous methods try to extend VIS face recogn…

cs.CV2019★ 18 cited

Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework

Caiyong Wang, Yuhao Zhu, Yunfan Liu +2

Iris segmentation and localization in non-cooperative environment is challenging due to illumination variations, long distances, moving subjects and limited user cooperation, etc.…