activity
20152023
most citedL2-constrained Softmax Loss for Discriminative Face Verification

277 citations · 473 across the 13 of their papers we have counts for

collaborators

19 papers

cond-mat.mtrl-sci2023

Giant electrostriction in bulk RE (III) substituted CeO2: effect of RE 3+ and its concentration

Soumyajyoti Mondal, Pooja Punetha, Rajeev Ranjan +1

Recent discovery of giant electrostriction in rare earth (RE (III)) substituted ceria (CeO2) thin films driven by electroactive defect complexes and their coordinated elastic respo…

cs.CV2022★ 9 cited

Minutiae-Guided Fingerprint Embeddings via Vision Transformers

Steven A. Grosz, Joshua J. Engelsma, Rajeev Ranjan +4

Minutiae matching has long dominated the field of fingerprint recognition. However, deep networks can be used to extract fixed-length embeddings from fingerprints. To date, the few…

cs.CV2018★ 75 cited

Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed

Matthew Q. Hill, Connor J. Parde, Carlos D. Castillo +5

Real-world face recognition requires an ability to perceive the unique features of an individual face across multiple, variable images. The primate visual system solves the problem…

cs.CV2018★ 9 cited

An Automatic System for Unconstrained Video-Based Face Recognition

Jingxiao Zheng, Rajeev Ranjan, Ching-Hui Chen +3

Although deep learning approaches have achieved performance surpassing humans for still image-based face recognition, unconstrained video-based face recognition is still a challeng…

cs.CV2018

A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos

Joshua Gleason, Rajeev Ranjan, Steven Schwarcz +3

Existing approaches for spatio-temporal action detection in videos are limited by the spatial extent and temporal duration of the actions. In this paper, we present a modular syste…

cs.CV2018★ 3 cited

A Fast and Accurate System for Face Detection, Identification, and Verification

Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng +7

The availability of large annotated datasets and affordable computation power have led to impressive improvements in the performance of CNNs on various object detection and recogni…