164 citations · 491 across the 15 of their papers we have counts for
6 papers · 1 filter
Deep Convolutional Neural Network Features and the Original Image
Connor J. Parde, Carlos Castillo, Matthew Q. Hill +4
Face recognition algorithms based on deep convolutional neural networks (DCNNs) have made progress on the task of recognizing faces in unconstrained viewing conditions. These netwo…
An All-In-One Convolutional Neural Network for Face Analysis
Rajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo +1
We present a multi-purpose algorithm for simultaneous face detection, face alignment, pose estimation, gender recognition, smile detection, age estimation and face recognition usin…
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan +5
Over the last five years, methods based on Deep Convolutional Neural Networks (DCNNs) have shown impressive performance improvements for object detection and recognition problems.…
Triplet Probabilistic Embedding for Face Verification and Clustering
Swami Sankaranarayanan, Azadeh Alavi, Carlos Castillo +1
Despite significant progress made over the past twenty five years, unconstrained face verification remains a challenging problem. This paper proposes an approach that couples a dee…
Triplet Similarity Embedding for Face Verification
Swami Sankaranarayanan, Azadeh Alavi, Rama Chellappa
In this work, we present an unconstrained face verification algorithm and evaluate it on the recently released IJB-A dataset that aims to push the boundaries of face verification m…
Towards the Design of an End-to-End Automated System for Image and Video-based Recognition
Rama Chellappa, Jun-Cheng Chen, Rajeev Ranjan +4
Over many decades, researchers working in object recognition have longed for an end-to-end automated system that will simply accept 2D or 3D image or videos as inputs and output th…