A novel approach to video matting using automated scribbling by motion analysis. - Abhishek Jain 003; Madhur Agrawal; Abhinav Gupta 006; Vineet Khandelwal (VECIMS, 2008)

A Novel Approach for Image Super Resolution Using Kernel Methods. - Adhish Prasoon; Himanshu Chaubey; Abhinav Gupta 006; Rohit Garg; Santanu Chaudhury (PReMI, 2015)

Study of compound generalized Nakagami-generalized inverse Gaussian distribution and related densities: application to ultrasound imaging. - Abhinav Gupta 006; Karmeshu (Comput. Stat., 2015)

Efficacy of Pearson distributions for characterization of gray levels in clinical ultrasound kidney images. - Abhinav Gupta 006; Karmeshu (Signal Image Video Process., 2015)

Image Annotation Using Latent Components and Transmedia Association. - Anurag Tripathi; Abhinav Gupta 006; Santanu Chaudhury; Brejesh Lall (PReMI, 2017)

Analytical Global Median Filtering Forensics Based on Moment Histograms. - Abhinav Gupta 006; Divya Singhal (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Global median filtering forensic method based on Pearson parameter statistics. - Abhinav Gupta 006; Divya Singhal (IET Image Process., 2019)

Image super resolution using distributed locality sensitive hashing for manifold learning. - Anurag Tripathi; Abhinav Gupta 006; Santanu Chaudhury; Arun Singh (Multim. Tools Appl., 2019)

A Simplistic Global Median Filtering Forensics Based on Frequency Domain Analysis of Image Residuals. - Abhinav Gupta 006; Divya Singhal (ACM Trans. Multim. Comput. Commun. Appl., 2019)

CNN based localisation of forged region in object-based forgery for HD videos. - Aditi Kohli; Abhinav Gupta 006; Divya Singhal (IET Image Process., 2020)

A maximum relevancy and minimum redundancy feature selection approach for median filtering forensics. - Aanchal Agarwal; Abhinav Gupta 006 (Multim. Tools Appl., 2020)

CNN-based Multiple Manipulation Detector Using Frequency Domain Features of Image Residuals. - Divya Singhal; Abhinav Gupta 006; Anurag Tripathi; Ravi Kothari (ACM Trans. Intell. Syst. Technol., 2020)

Forgery localization in images based on joint statistics of image blocks with neighbouring blocks. - Divya Singhal; Abhinav Gupta 006 (IET Image Process., 2021)

Detecting DeepFake, FaceSwap and Face2Face facial forgeries using frequency CNN. - Aditi Kohli; Abhinav Gupta 006 (Multim. Tools Appl., 2021)

Real-time double JPEG forensics for mobile devices. - Aanchal Agarwal; Abhinav Gupta 006 (J. Real Time Image Process., 2022)

Light-weight 3DCNN for DeepFakes, FaceSwap and Face2Face facial forgery detection. - Aditi Kohli; Abhinav Gupta 006 (Multim. Tools Appl., 2022)

Efficacy of Residual Methods for Passive Image Forensics Using Four Filtered Residue CNN. - Aanchal Agarwal; Abhinav Gupta 006 (SN Comput. Sci., 2022)