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20172026
most citedDetection, Attribution and Localization of GAN Generated Images

10 citations · 24 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Wrivinder: Towards Spatial Intelligence for Geo-locating Ground Images onto Satellite Imagery

Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Abhay Yadav +6

Aligning ground-level imagery with geo-registered satellite maps is crucial for mapping, navigation, and situational awareness, yet remains challenging under large viewpoint gaps o…

cs.CV20216 cited

Seam Carving Detection and Localization using Two-Stage Deep Neural Networks

Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed +2

Seam carving is a method to resize an image in a content aware fashion. However, this method can also be used to carve out objects from images. In this paper, we propose a two-step…

cs.CV2021

Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices

Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed +2

Digital image forensics aims to detect images that have been digitally manipulated. Realistic image forgeries involve a combination of splicing, resampling, region removal, smoothi…

cs.CV2019

Detecting GAN generated Fake Images using Co-occurrence Matrices

Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran +4

The advent of Generative Adversarial Networks (GANs) has brought about completely novel ways of transforming and manipulating pixels in digital images. GAN based techniques such as…

cs.CV2018

Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis

Arjuna Flenner, Lawrence Peterson, Jason Bunk +3

The amount of digital imagery recorded has recently grown exponentially, and with the advancement of software, such as Photoshop or Gimp, it has become easier to manipulate images.…

cs.CV2018

Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj +6

Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting…