activity
20172019
most citedHybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries

477 citations · 477 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2019

Pose Guided Fashion Image Synthesis Using Deep Generative Model

Wei Sun, Jawadul H. Bappy, Shanglin Yang +3

Generating a photorealistic image with intended human pose is a promising yet challenging research topic for many applications such as smart photo editing, movie making, virtual tr…

cs.CV2019477 cited

Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries

Jawadul H. Bappy, Cody Simons, Lakshmanan Nataraj +2

With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy-clone, object splicing, and r…

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

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…

cs.CV2017

Detection and Localization of Image Forgeries using Resampling Features and Deep Learning

Jason Bunk, Jawadul H. Bappy, Tajuddin Manhar Mohammed +6

Resampling is an important signature of manipulated images. In this paper, we propose two methods to detect and localize image manipulations based on a combination of resampling fe…