activity
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

collaborators

58 papers

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023★ 103 cited

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…

cs.CV2022★ 12 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 140 cited

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…