83 citations · 87 across the 3 of their papers we have counts for
3 papers · 1 filter
Restructurable Activation Networks
Kartikeya Bhardwaj, James Ward, Caleb Tung +6
Is it possible to restructure the non-linear activation functions in a deep network to create hardware-efficient models? To address this question, we propose a new paradigm called…
Relevance Subject Machine: A Novel Person Re-identification Framework
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao +1
We propose a novel method called the Relevance Subject Machine (RSM) to solve the person re-identification (re-id) problem. RSM falls under the category of Bayesian sparse recovery…
Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao +1
In this paper, we present a novel Bayesian approach to recover simultaneously block sparse signals in the presence of outliers. The key advantage of our proposed method is the abil…