activity
20192026
most citedWebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

24 citations · 53 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

11 papers · 1 filter

cs.CV2026

GigaWorld-Policy: An Efficient Action-Centered World--Action Model

Angen Ye, Boyuan Wang, Chaojun Ni +21

World-Action Models (WAM) initialized from pre-trained video generation backbones have demonstrated remarkable potential for robot policy learning. However, existing approaches fac…

cs.CV20221 cited

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

Zheng Zhu, Guan Huang, Jiankang Deng +8

Face benchmarks empower the research community to train and evaluate high-performance face recognition systems. In this paper, we contribute a new million-scale recognition benchma…

cs.CV202124 cited

Masked Face Recognition Challenge: The WebFace260M Track Report

Zheng Zhu, Guan Huang, Jiankang Deng +9

According to WHO statistics, there are more than 204,617,027 confirmed COVID-19 cases including 4,323,247 deaths worldwide till August 12, 2021. During the coronavirus epidemic, al…

cs.CV202124 cited

WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

Zheng Zhu, Guan Huang, Jiankang Deng +8

In this paper, we contribute a new million-scale face benchmark containing noisy 4M identities/260M faces (WebFace260M) and cleaned 2M identities/42M faces (WebFace42M) training da…

cs.CV2020

MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations

Qing Yang, Xia Zhu, Jong-Kae Fwu +3

Deep neural networks (DNNs) have recently been applied and used in many advanced and diverse tasks, such as medical diagnosis, automatic driving, etc. Due to the lack of transparen…

cs.CV20201 cited

PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing

Qing Yang, Xia Zhu, Jong-Kae Fwu +3

Face anti-spoofing has become an increasingly important and critical security feature for authentication systems, due to rampant and easily launchable presentation attacks. Address…