164 citations · 263 across the 13 of their papers we have counts for
4 papers · 1 filter
DCNNs on a Diet: Sampling Strategies for Reducing the Training Set Size
Maya Kabkab, Azadeh Alavi, Rama Chellappa
Large-scale supervised classification algorithms, especially those based on deep convolutional neural networks (DCNNs), require vast amounts of training data to achieve state-of-th…
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…
Optimized Kernel-based Projection Space of Riemannian Manifolds
Azadeh Alavi, Vishal M Patel, Rama Chellappa
It is proven that encoding images and videos through Symmetric Positive Definite (SPD) matrices, and considering the Riemannian geometry of the resulting space, can lead to increas…
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…