no code implementations • 13 Mar 2024 • Paul Ardis, Arjuna Flenner
Deep Neural Networks (DNNs) do not inherently compute or exhibit empirically-justified task confidence.
no code implementations • 15 Mar 2019 • Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, Arjuna Flenner, Jawadul H. Bappy, Amit K. Roy-Chowdhury, B. S. Manjunath
The advent of Generative Adversarial Networks (GANs) has brought about completely novel ways of transforming and manipulating pixels in digital images.
no code implementations • 1 Mar 2018 • Arjuna Flenner, Lawrence Peterson, Jason Bunk, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, B. S. Manjunath
A deep learning classifier is then used to generate a heatmap that indicates if the image block has been resampled.
no code implementations • 9 Feb 2018 • Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj, Jawadul H. Bappy, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence Peterson
Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods.
1 code implementation • 3 Jul 2017 • Jason Bunk, Jawadul H. Bappy, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence Peterson
In this paper, we propose two methods to detect and localize image manipulations based on a combination of resampling features and deep learning.
no code implementations • 27 Feb 2016 • Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah Rowland, Arjuna Flenner
We consider the problem of scale detection in images where a region of interest is present together with a measurement tool (e. g. a ruler).
no code implementations • 8 May 2014 • Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus
We propose a method to improve image clustering using sparse text and the wisdom of the crowds.
no code implementations • 6 Jun 2013 • Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus
We present a graph-based variational algorithm for classification of high-dimensional data, generalizing the binary diffuse interface model to the case of multiple classes.
no code implementations • 15 Feb 2013 • Cristina Garcia-Cardona, Ekaterina Merkurjev, Andrea L. Bertozzi, Arjuna Flenner, Allon Percus
We present two graph-based algorithms for multiclass segmentation of high-dimensional data.