76 citations · 291 across the 19 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification
Boyu Lu, Jun-Cheng Chen, Carlos D. Castillo +1
Covariates are factors that have a debilitating influence on face verification performance. In this paper, we comprehensively study two covariate related problems for unconstrained…
Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition
Rajeev Ranjan, Ankan Bansal, Hongyu Xu +4
In recent years, the performance of face verification and recognition systems based on deep convolutional neural networks (DCNNs) has significantly improved. A typical pipeline for…