1 code implementation • 9 Feb 2022 • Stephanie Aelmore, Richard C. Ordonez, Shibin Parameswaran, Justin Mauger
Event cameras are ideal for object tracking applications due to their ability to capture fast-moving objects while mitigating latency and data redundancy.
no code implementations • 14 May 2019 • Chris M. Ward, Josh Harguess, Brendan Crabb, Shibin Parameswaran
Traditional metrics for evaluating the efficacy of image processing techniques do not lend themselves to understanding the capabilities and limitations of modern image processing methods - particularly those enabled by deep learning.
no code implementations • 5 Feb 2018 • Charles-Alban Deledalle, Shibin Parameswaran, Truong Q. Nguyen
In this paper, we show that a generalized Gaussian mixture model (GGMM) captures the underlying distribution of patches better than a GMM.
no code implementations • 23 Oct 2017 • Shibin Parameswaran, Charles-Alban Deledalle, Loïc Denis, Truong Q. Nguyen
Image restoration methods aim to recover the underlying clean image from corrupted observations.
no code implementations • NeurIPS 2010 • Shibin Parameswaran, Kilian Q. Weinberger
Multi-task learning (MTL) improves the prediction performance on multiple, different but related, learning problems through shared parameters or representations.