6 citations · 6 across the 1 of their papers we have counts for
4 papers
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors
Amit Kumar, Azadeh Alavi, Rama Chellappa
Keypoint detection is one of the most important pre-processing steps in tasks such as face modeling, recognition and verification. In this paper, we present an iterative method for…
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…
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…