277 citations · 771 across the 30 of their papers we have counts for
7 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…
UMDFaces: An Annotated Face Dataset for Training Deep Networks
Ankan Bansal, Anirudh Nanduri, Carlos Castillo +2
Recent progress in face detection (including keypoint detection), and recognition is mainly being driven by (i) deeper convolutional neural network architectures, and (ii) larger d…
Biconvex Relaxation for Semidefinite Programming in Computer Vision
Sohil Shah, Abhay Kumar, Carlos Castillo +3
Semidefinite programming is an indispensable tool in computer vision, but general-purpose solvers for semidefinite programs are often too slow and memory intensive for large-scale…
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…