activity
20172021
most citedDeep Hashing for Secure Multimodal Biometrics

87 citations · 87 across the 8 of their papers we have counts for

collaborators

11 papers

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.CV202087 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…