output
20182026
most citedMobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

48 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

6 papers

cs.CV2026★ 1 cited

Vocabulary-Guided Gait Recognition

Panjian Huang, Saihui Hou, Chunshui Cao +2

What is a gait? Appearance-based gait networks consider a gait as the human shape and motion information from images. Model-based gait networks treat a gait as the human inherent s…

astro-ph.HE2025★ 4 cited

Origin of the ring ellipticity in the black hole images of M87*

Rohan Dahale, Ilje Cho, Kotaro Moriyama +273

We investigate the origin of the elliptical ring structure observed in the images of the supermassive black hole M87*, aiming to disentangle contributions from gravitational, astro…

cs.SE2022★ 3 cited

MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat

Jörg Christian Kirchhof, Evgeny Kusmenko, Jonas Ritz +5

In this paper, we propose to adopt the MDE paradigm for the development of Machine Learning (ML)-enabled software systems with a focus on the Internet of Things (IoT) domain. We il…

q-bio.GN2020★ 35 cited

The MAPT gene is differentially methylated in the progressive supranuclear palsy brain

Vincent Huin, Vincent Deramecourt, Dominique Caparros-Lefebvre +10

Background: Progressive supranuclear palsy (PSP) is a rare neurodegenerative disease causing parkinsonian symptoms. Altered DNA methylation of the microtubule-associated protein ta…

cs.CV2018

Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate

Sheng Chen, Jia Guo, Yang Liu +2

In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block, which reweights local features in a convolutional neural network (CNN) adaptively according to their L2 no…

cs.CV2018★ 48 cited

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

Sheng Chen, Yang Liu, Xiang Gao +1

We present a class of extremely efficient CNN models, MobileFaceNets, which use less than 1 million parameters and are specifically tailored for high-accuracy real-time face verifi…