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ORCIDVinod Pankajakshan
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2020 – today
- 2024
[j8]Ebin M. Manuel
, Vinod Pankajakshan, Manil T. Mohan:
Linear Programming Models for the Design of Energy-Efficient IoT Networks With Transmission Constraints. IEEE Trans. Green Commun. Netw. 8(1): 391-401 (2024)- [c16]Kumar Shubham Singh, Vinod Pankajakshan:
RN-Net: A Video Source Identification Method Based on Deep Learning. SPCOM 2024: 1-5 - 2023
- [j7]Ebin M. Manuel, Vinod Pankajakshan, Manil T. Mohan:
Networking of Sensors With Fixed Transmission Ranges: Distributed Data Processing Over Graphs. IEEE Netw. Lett. 5(2): 76-80 (2023) - [j6]Ebin M. Manuel, Vinod Pankajakshan, Manil T. Mohan:
Energy-Efficient Data Aggregation in Low-Power Wireless Networks With Sensors of Discrete Transmission Ranges: A Mathematical Framework for Network Design. IEEE Trans. Netw. Sci. Eng. 10(6): 3858-3870 (2023) - 2022
- [c15]Avinash Ratre, Vinod Pankajakshan:
Deep Imbalanced Data Learning Approach for Video Anomaly Detection. NCC 2022: 391-396 - 2020
- [j5]Chothmal Kumawat, Vinod Pankajakshan:
A robust JPEG compression detector for image forensics. Signal Process. Image Commun. 89: 116008 (2020) - [c14]Ravi Tej Akella, Shirsendu Sukanta Halder, Arunav Pratap Shandeelya, Vinod Pankajakshan:
Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution. IJCNN 2020: 1-8 - [i2]Ravi Tej Akella, Shirsendu Sukanta Halder, Arunav Pratap Shandeelya, Vinod Pankajakshan:
Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution. CoRR abs/2005.07502 (2020)
2010 – 2019
- 2019
- [c13]Joydeep Das, Rashmin Patel, Vinod Pankajakshan:
Brain Tumor Segmentation Using Discriminator Loss. NCC 2019: 1-6 - 2018
- [j4]Avinash Ratre, Vinod Pankajakshan:
Tucker tensor decomposition-based tracking and Gaussian mixture model for anomaly localisation and detection in surveillance videos. IET Comput. Vis. 12(6): 933-940 (2018) - [j3]Dinesh Bhardwaj, Vinod Pankajakshan:
A JPEG blocking artifact detector for image forensics. Signal Process. Image Commun. 68: 155-161 (2018) - [c12]Ravi Tej Akella, Raviteja Rekula, Vinod Pankajakshan:
A Randomized Kernel-Based Secret Image Sharing Scheme. WIFS 2018: 1-7 - [c11]Ravi Tej Akella, Raviteja Rekula, Vinod Pankajakshan:
A Randomized Kernel-Based Secret Image Sharing Scheme - Supplementary -. WIFS 2018: 1-2 - [i1]Ravi Tej Akella, Raviteja Rekula, Vinod Pankajakshan:
A Randomized Kernel-Based Secret Image Sharing Scheme. CoRR abs/1810.00181 (2018) - 2017
- [c10]V. Shreyas, Vinod Pankajakshan:
A deep learning architecture for brain tumor segmentation in MRI images. MMSP 2017: 1-6 - [c9]Dinesh Bhardwaj, Chothmal Kumawat, Vinod Pankajakshan:
A Method for Detecting JPEG Anti-forensics. NCVPRIPG 2017: 190-197 - 2016
- [j2]Dinesh Bhardwaj, Vinod Pankajakshan:
Image Overlay Text Detection Based on JPEG Truncation Error Analysis. IEEE Signal Process. Lett. 23(8): 1027-1031 (2016) - [c8]Roshan Sai Ayyalasomayajula, Vinod Pankajakshan:
Differentiating Photographic and PRCG Images Using Tampering Localization Features. CVIP (2) 2016: 429-438 - 2014
- [c7]Amit Hooda, Madhur Kathuria, Vinod Pankajakshan:
Application of Forgery Localization in Overlay Text Detection. ICVGIP 2014: 36:1-36:7 - 2011
- [c6]Florent Autrusseau, Sylvain David, Vinod Pankajakshan, Patrizio Campisi:
A perceptually driven hybrid additive-multiplicative watermarking technique in the wavelet domain. Media Forensics and Security 2011: 78800B - 2010
- [c5]Florent Autrusseau, Sylvain David, Vinod Pankajakshan:
A subjective study of visibility thresholds for wavelet domain watermarking. ICIP 2010: 201-204 - [c4]Vinod Pankajakshan, Florent Autrusseau:
A multi-purpose objective quality metric for image watermarking. ICIP 2010: 2589-2592 - [c3]Thomas Stütz, Vinod Pankajakshan, Florent Autrusseau, Andreas Uhl, Heinz Hofbauer:
Subjective and objective quality assessment of transparently encrypted JPEG2000 images. MM&Sec 2010: 247-252
2000 – 2009
- 2009
- [j1]Vinod Pankajakshan, Gwenaël J. Doërr, Prabin Kumar Bora:
Detection of motion-incoherent components in video streams. IEEE Trans. Inf. Forensics Secur. 4(1): 49-58 (2009) - 2007
- [c2]Xi Zhao, Anthony T. S. Ho, Helen Treharne, Vinod Pankajakshan, Chris Culnane, Weina Jiang:
A Novel Semi-Fragile Image Watermarking, Authentication and Self-Restoration Technique Using the Slant Transform. IIH-MSP 2007: 283-286 - [c1]Vinod Pankajakshan, Anthony T. S. Ho:
Improving Video Steganalysis Using Temporal Correlation. IIH-MSP 2007: 287-290
Coauthor Index
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