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20172024
most citedDeep Hashing for Secure Multimodal Biometrics

87 citations · 96 across the 11 of their papers we have counts for

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10 papers · 1 filter

cs.CV2023★ 9 cited

Empirical Assessment of End-to-End Iris Recognition System Capacity

Priyanka Das, Richard Plesh, Veeru Talreja +4

Iris is an established modality in biometric recognition applications including consumer electronics, e-commerce, border security, forensics, and de-duplication of identity at a na…

cs.CV2021

Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition

Veeru Talreja, Nasser M. Nasrabadi, Matthew C. Valenti

In recent years, periocular recognition has been developed as a valuable biometric identification approach, especially in wild environments (for example, masked faces due to COVID-…

cs.CV2021

Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN

Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson +2

In recent years, with the advent of deep-learning, face recognition has achieved exceptional success. However, many of these deep face recognition models perform much better in han…

cs.CV2020★ 87 cited

Deep Hashing for Secure Multimodal Biometrics

Veeru Talreja, Matthew Valenti, Nasser Nasrabadi

When compared to unimodal systems, multimodal biometric systems have several advantages, including lower error rate, higher accuracy, and larger population coverage. However, multi…

cs.CV2020

PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild

Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson +2

In recent years, due to the emergence of deep learning, face recognition has achieved exceptional success. However, many of these deep face recognition models perform relatively po…

cs.CV2020

Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval

Fariborz Taherkhani, Veeru Talreja, Matthew C. Valenti +1

Cross-modal hashing facilitates mapping of heterogeneous multimedia data into a common Hamming space, which can beutilized for fast and flexible retrieval across different modaliti…

cs.CV2019

Zero-Shot Deep Hashing and Neural Network Based Error Correction for Face Template Protection

Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi

In this paper, we present a novel architecture that integrates a deep hashing framework with a neural network decoder (NND) for application to face template protection. It improves…

cs.CV2019

Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition

Veeru Talreja, Fariborz Taherkhani, Matthew C Valenti +1

In this paper, we propose a novel attribute-guided cross-resolution (low-resolution to high-resolution) face recognition framework that leverages a coupled generative adversarial n…

cs.CV2019

Learning to Authenticate with Deep Multibiometric Hashing and Neural Network Decoding

Veeru Talreja, Sobhan Soleymani, Matthew C. Valenti +1

In this paper, we propose a novel multimodal deep hashing neural decoder (MDHND) architecture, which integrates a deep hashing framework with a neural network decoder (NND) to crea…

cs.CV2019

Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval

Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti +1

With benefits of fast query speed and low storage cost, hashing-based image retrieval approaches have garnered considerable attention from the research community. In this paper, we…