52 citations · 169 across the 10 of their papers we have counts for
8 papers · 1 filter
HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection
Pavan C Shekar, Pawan Soni, Vivek Kanhangad
Deepfakes pose a significant threat to digital media security, with current detection methods struggling to generalize across different manipulation techniques and datasets. While…
Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X
Pavan C Shekar, Vivek Kanhangad, Shishir Maheshwari +1
Gastrointestinal (GI) bleeding, a critical indicator of digestive system disorders, re quires efficient and accurate detection methods. This paper presents our solution to the Auto…
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability
Siddharth Singh Savner, Vivek Kanhangad
Convolutional neural networks (CNNs) have dominated the field of computer vision for nearly a decade due to their strong ability to learn local features. However, due to their limi…
A Contactless Fingerprint Recognition System
Aman Attrish, Nagasai Bharat, Vijay Anand +1
Fingerprints are one of the most widely explored biometric traits. Specifically, contact-based fingerprint recognition systems reign supreme due to their robustness, portability an…
Unsupervised Domain Adaptation for Cross-sensor Pore Detection in High-resolution Fingerprint Images
Vijay Anand, Vivek Kanhangad
With the emergence of high-resolution fingerprint sensors, there has been a lot of focus on level-3 fingerprint features, especially the pores, for the next generation automated fi…
PoreNet: CNN-based Pore Descriptor for High-resolution Fingerprint Recognition
Vijay Anand, Vivek Kanhangad
With the development of high-resolution fingerprint scanners, high-resolution fingerprint-based biometric recognition has received increasing attention in recent years. This paper…
PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features
Daksh Thapar, Gaurav Jaswal, Aditya Nigam +1
Designing an end-to-end deep learning network to match the biometric features with limited training samples is an extremely challenging task. To address this problem, we propose a…
Pore detection in high-resolution fingerprint images using Deep Residual Network
Vijay Anand, Vivek kanhangad
This letter presents a residual learning-based convolutional neural network, referred to as DeepResPore, for detection of pores in high-resolution fingerprint images. Specifically,…