Abhinav Gupta

Orcid: 0000-0002-1939-5407

Affiliations:
  • Jaypee Institute of Information Technology, Noida, India


According to our database1, Abhinav Gupta authored at least 17 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Efficacy of Residual Methods for Passive Image Forensics Using Four Filtered Residue CNN.
SN Comput. Sci., 2022

Light-weight 3DCNN for DeepFakes, FaceSwap and Face2Face facial forgery detection.
Multim. Tools Appl., 2022

Real-time double JPEG forensics for mobile devices.
J. Real Time Image Process., 2022

2021
Detecting DeepFake, FaceSwap and Face2Face facial forgeries using frequency CNN.
Multim. Tools Appl., 2021

Forgery localization in images based on joint statistics of image blocks with neighbouring blocks.
IET Image Process., 2021

2020
CNN-based Multiple Manipulation Detector Using Frequency Domain Features of Image Residuals.
ACM Trans. Intell. Syst. Technol., 2020

A maximum relevancy and minimum redundancy feature selection approach for median filtering forensics.
Multim. Tools Appl., 2020

CNN based localisation of forged region in object-based forgery for HD videos.
IET Image Process., 2020

2019
A Simplistic Global Median Filtering Forensics Based on Frequency Domain Analysis of Image Residuals.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Image super resolution using distributed locality sensitive hashing for manifold learning.
Multim. Tools Appl., 2019

Global median filtering forensic method based on Pearson parameter statistics.
IET Image Process., 2019

2018
Analytical Global Median Filtering Forensics Based on Moment Histograms.
ACM Trans. Multim. Comput. Commun. Appl., 2018

2017
Image Annotation Using Latent Components and Transmedia Association.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2015
Efficacy of Pearson distributions for characterization of gray levels in clinical ultrasound kidney images.
Signal Image Video Process., 2015

Study of compound generalized Nakagami-generalized inverse Gaussian distribution and related densities: application to ultrasound imaging.
Comput. Stat., 2015

A Novel Approach for Image Super Resolution Using Kernel Methods.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

2008
A novel approach to video matting using automated scribbling by motion analysis.
Proceedings of the IEEE International Conference on Virtual Environments, 2008


  Loading...