ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.01711
  4. Cited By
Resampling Forgery Detection Using Deep Learning and A-Contrario
  Analysis

Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis

1 March 2018
A. Flenner
Lawrence A. Peterson
Jason Bunk
Tajuddin Manhar Mohammed
L. Nataraj
B. S. Manjunath
    AAML
ArXiv (abs)PDFHTML

Papers citing "Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis"

3 / 3 papers shown
Title
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in
  Satellite Imagery
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery
Chandrakanth Gudavalli
E. Rosten
L. Nataraj
S. Chandrasekaran
B. S. Manjunath
42
8
0
28 Aug 2021
Toward Reliable Models for Authenticating Multimedia Content: Detecting
  Resampling Artifacts With Bayesian Neural Networks
Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks
Anatol Maier
Benedikt Lorch
Christian Riess
AAML
84
17
0
28 Jul 2020
Seeing Things in Random-Dot Videos
Seeing Things in Random-Dot Videos
Thomas Dagès
M. Lindenbaum
A. Bruckstein
20
1
0
29 Jul 2019
1