28 citations · 162 across the 42 of their papers we have counts for
6 papers · 1 filter
Efficient K-Shot Learning with Regularized Deep Networks
Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti +1
Feature representations from pre-trained deep neural networks have been known to exhibit excellent generalization and utility across a variety of related tasks. Fine-tuning is by f…
On the Capacity of Face Representation
Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain
In this paper we address the following question, given a face representation, how many identities can it resolve? In other words, what is the capacity of the face representation? A…
Face Alignment Robust to Pose, Expressions and Occlusions
Vishnu Naresh Boddeti, Myung-Cheol Roh, Jongju Shin +2
We propose an Ensemble of Robust Constrained Local Models for alignment of faces in the presence of significant occlusions and of any unknown pose and expression. To account for pa…
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Traditional generative adversarial networks (GAN) and many of its variants are trained by minimizing the KL or JS-divergence loss that measures how close the generated data distrib…
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani +1
We propose a privacy-preserving framework for learning visual classifiers by leveraging distributed private image data. This framework is designed to aggregate multiple classifiers…
Emergence of Selective Invariance in Hierarchical Feed Forward Networks
Dipan K. Pal, Vishnu Boddeti, Marios Savvides
Many theories have emerged which investigate how in- variance is generated in hierarchical networks through sim- ple schemes such as max and mean pooling. The restriction to max/me…