← Search

Premkumar Natarajan

3 accepted papers

2019

AIRD: Adversarial Learning Framework for Image Repurposing Detection

CVPR 2019poster

Image repurposing is a commonly used method for spreading misinformation on social media and online forums, which involves publishing untampered images with modified metadata to create rumors and further propaganda. While manual verification is possible, given vast amounts of verified knowledge avai…

Cited by 30PDFcodeScholar
2019

ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features

CVPR 2019poster

To fight against real-life image forgery, which commonly involves different types and combined manipulations, we propose a unified deep neural architecture called ManTra-Net. Unlike many existing solutions, ManTra-Net is an end-to-end network that performs both detection and localization without ex…

Cited by 645PDFcodeScholar
2019

QATM: Quality-Aware Template Matching for Deep Learning

CVPR 2019poster

Finding a template in a search image is one of the core problems in many computer vision applications, such as template matching, image semantic alignment, image-to-GPS verification etc.. In this paper, we propose a novel quality-aware template matching method, which is not only used as a standalone…

Cited by 84PDFcodeScholar