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
Showing 2018Show all

7 papers · 1 filter

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…

cs.CV2018

Localization: A Missing Link in the Pipeline of Object Matching and Registration

Deepak Mishra, Rajeev Ranjan, Santanu Chaudhury +2

Image registration is a process of aligning two or more images of same objects using geometric transformation. Most of the existing approaches work on the assumption of location in…

cs.CV2018

Light-weight Head Pose Invariant Gaze Tracking

Rajeev Ranjan, Shalini De Mello, Jan Kautz

Unconstrained remote gaze tracking using off-the-shelf cameras is a challenging problem. Recently, promising algorithms for appearance-based gaze estimation using convolutional neu…