Methods to Distinguish Photorealistic Computer Generated Images from Photographic Images: A Review. - Kunj Bihari Meena; Vipin Tyagi (ICACDS (1), 2019)

A copy-move image forgery detection technique based on Gaussian-Hermite moments. - Kunj Bihari Meena; Vipin Tyagi (Multim. Tools Appl., 2019)

A Deep Learning Based Method to Discriminate Between Photorealistic Computer Generated Images and Photographic Images. - Kunj Bihari Meena; Vipin Tyagi (ICACDS, 2020)

A copy-move image forgery detection technique based on tetrolet transform. - Kunj Bihari Meena; Vipin Tyagi (J. Inf. Secur. Appl., 2020)

A hybrid copy-move image forgery detection technique based on Fourier-Mellin and scale invariant feature transforms. - Kunj Bihari Meena; Vipin Tyagi (Multim. Tools Appl., 2020)

Image Splicing Forgery Detection Techniques: A Review. - Kunj Bihari Meena; Vipin Tyagi (ICACDS (2), 2021)

Distinguishing computer-generated images from photographic images using two-stream convolutional neural network. - Kunj Bihari Meena; Vipin Tyagi (Appl. Soft Comput., 2021)

A Proposed Model for Precision Agriculture. - Jyotiraditya Singh Tomar; Parishkrat Mishra; Akash Gupta; Kunj Bihari Meena; Vipin Tyagi (ICACDS (2), 2022)

A Novel Method for Near-Duplicate Image Detection Using Global Features. - Kunj Bihari Meena; Vipin Tyagi (ICACDS, 2023)

Image splicing forgery detection using noise level estimation. - Kunj Bihari Meena; Vipin Tyagi (Multim. Tools Appl., 2023)

Machine learning for predicting the half cell potential of cathodically protected reinforced cement concrete slabs subjected to chloride ingress. - Yogesh Iyer Murthy; Kunj Bihari Meena; Nileshkumar R. Patel (Eng. Appl. Artif. Intell., 2024)