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20162023
most citedGoing Deeper Into Face Detection: A Survey

51 citations · 113 across the 17 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CV20173 cited

Demography-based Facial Retouching Detection using Subclass Supervised Sparse Autoencoder

Aparna Bharati, Mayank Vatsa, Richa Singh +2

Digital retouching of face images is becoming more widespread due to the introduction of software packages that automate the task. Several researchers have introduced algorithms to…

cs.IR20171 cited

Provenance Filtering for Multimedia Phylogeny

Allan Pinto, Daniel Moreira, Aparna Bharati +5

Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny analyzes the evolutionary processes that influence d…

cs.CV2017

U-Phylogeny: Undirected Provenance Graph Construction in the Wild

Aparna Bharati, Daniel Moreira, Allan Pinto +5

Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny solutions, which aim to combat misinformation through…

cs.CV20174 cited

Gender-From-Iris or Gender-From-Mascara?

Andrey Kuehlkamp, Benedict Becker, Kevin Bowyer

Predicting a person's gender based on the iris texture has been explored by several researchers. This paper considers several dimensions of experimental work on this problem, inclu…

cs.CV20171 cited

An Analysis of 1-to-First Matching in Iris Recognition

Andrey Kuehlkamp, Kevin W. Bowyer

Iris recognition systems are a mature technology that is widely used throughout the world. In identification (as opposed to verification) mode, an iris to be recognized is typicall…