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20162023
most citedGoing Deeper Into Face Detection: A Survey

51 citations · 116 across the 24 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019

Identity Document to Selfie Face Matching Across Adolescence

Vítor Albiero, Nisha Srinivas, Esteban Villalobos +5

Matching live images (``selfies'') to images from ID documents is a problem that can arise in various applications. A challenging instance of the problem arises when the face image…

cs.CV2019

Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No

Vítor Albiero, Kevin W. Bowyer, Kushal Vangara +1

Previous studies generally agree that face recognition accuracy is higher for older persons than for younger persons. But most previous studies were before the wave of deep learnin…

cs.CV2019★ 44 cited

Characterizing the Variability in Face Recognition Accuracy Relative to Race

KS Krishnapriya, Kushal Vangara, Michael C. King +2

Many recent news headlines have labeled face recognition technology as biased or racist. We report on a methodical investigation into differences in face recognition accuracy betwe…

cs.CV2019

Dynamic Spatial Verification for Large-Scale Object-Level Image Retrieval

Joel Brogan, Aparna Bharati, Daniel Moreira +4

Images from social media can reflect diverse viewpoints, heated arguments, and expressions of creativity, adding new complexity to retrieval tasks. Researchers working onContent-Ba…

cs.CV2019

Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks

Daniel Kerrigan, Mateusz Trokielewicz, Adam Czajka +1

This paper offers three new, open-source, deep learning-based iris segmentation methods, and the methodology how to use irregular segmentation masks in a conventional Gabor-wavelet…