activity
20192026
most citedReal-Time Idling Vehicles Detection using Combined Audio-Visual Deep Learning

6 citations · 9 across the 6 of their papers we have counts for

collaborators

7 papers

astro-ph.CO2026

Testing cosmological isotropy with gravitational waves and gamma-ray bursts

Brian H. Y. Cheng, Donniel C. Cruz, Otto A. Hannuksela +18

The cosmological principle asserts that the Universe is homogeneous and isotropic on large enough scales. However, alternative cosmological models can bring about anisotropies thro…

astro-ph.HE2023

Rapid Generation of Kilonova Light Curves Using Conditional Variational Autoencoder

Surojit Saha, Michael J. Williams, Laurence Datrier +8

The discovery of the optical counterpart, along with the gravitational waves from GW170817, of the first binary neutron star merger, opened up a new era for multi-messenger astroph…

cs.CV2023★ 6 cited

Real-Time Idling Vehicles Detection using Combined Audio-Visual Deep Learning

Xiwen Li, Tristalee Mangin, Surojit Saha +7

Combustion vehicle emissions contribute to poor air quality and release greenhouse gases into the atmosphere, and vehicle pollution has been associated with numerous adverse health…

astro-ph.HE2021★ 2 cited

A Bayesian Inference Framework for Gamma-Ray Burst Afterglow Properties

En-Tzu Lin, Fergus Hayes, Gavin P. Lamb +5

In the field of multi-messenger astronomy, Bayesian inference is commonly adopted to compare the compatibility of models given the observed data. However, to describe a physical sy…

astro-ph.HE2021★ 1 cited

Inclination estimates from off-axis GRB afterglow modelling

Gavin P Lamb, Joseph J Fernández, Fergus Hayes +7

For gravitational wave (GW) detected neutron star mergers, one of the leading candidates for electromagnetic (EM) counterparts is the afterglow from an ultra-relativistic jet. Wher…

cs.LG2020

GENs: Generative Encoding Networks

Surojit Saha, Shireen Elhabian, Ross T. Whitaker

Mapping data from and/or onto a known family of distributions has become an important topic in machine learning and data analysis. Deep generative models (e.g., generative adversar…

cs.CV2019

Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment

Pedro Miraldo, Surojit Saha, Srikumar Ramalingam

3D scan registration is a classical, yet a highly useful problem in the context of 3D sensors such as Kinect and Velodyne. While there are several existing methods, the techniques…