Journal
Chothmal Kumawat and Vinod Pankajakshan , "A JPEG Forensic Detector for Color Bitmap Images", IEEE Open Journal of Signal Processing (2021)
Chothmal Kumawat and Vinod Pankajakshan , "A Robust JPEG Compression Detector for Image Forensics", Signal Processing : Image Communication (2020)
Dinesh Bhardwaj and Vinod Pankajakshan , "A JPEG Blocking Artifact Detector for Image Forensics", Signal Processing : Image Communication (2018)
Avinash Ratre and Vinod Pankajakshan, "Tucker tensor decomposition based tracking and Gaussian mixture model for anomaly detection in surveillance videos", IET Computer Vision (2018)
Dinesh Bhardwaj and Vinod Pankajakshan, "Image Overlay Text Detection Based on JPEG Truncation Error Analysis", IEEE Signal Processing Letters (2016) http://dx.doi.org/10.1109/LSP.2016.2581311
Conference / Workshop
A. Ravi Tej, Shirsendu Halder, Arunav Shandeelya and Vinod Pankajakshan, "Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution", IEEE World Congress on Computational Intelligence (WCCI), Glasgow, 2020.
Joydeep Das, Reshmin Patel and Vinod Pankajakshan, "Brain Tumor Segmentation using Discriminator Loss", 25th National Conference on Communications (NCC), IIT Hyderabad, February 2019.
A. Ravi Tej, R. Raviteja and Vinod Pankajakshan, "A Randomized Kernel-based Image Secret Sharing Scheme", IEEE 10th International Workshop on Information Forensics and Security (WIFS), Hong Kong, December 2018.
Prakhar Singh and Vinod Pankajakshan, "A Deep Learning Based Technique for Anomaly Detection in Surveillance Videos", 24th National Conference on Communications (NCC), IIT Hyderabad, February 2018.
Shreyas Vishwanathan and Vinod Pankajakshan, "A Deep Learning Architecture for Brain Tumor Segmentation in MRI Images", IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), London, UK, October 2017.
