22 citations · 52 across the 5 of their papers we have counts for
6 papers
Damage Estimation and Localization from Sparse Aerial Imagery
Rene Garcia Franceschini, Jeffrey Liu, Saurabh Amin
Aerial images provide important situational awareness for responding to natural disasters such as hurricanes. They are well-suited for providing information for damage estimation a…
Large Scale Organization and Inference of an Imagery Dataset for Public Safety
Jeffrey Liu, David Strohschein, Siddharth Samsi +1
Video applications and analytics are routinely projected as a stressing and significant service of the Nationwide Public Safety Broadband Network. As part of a NIST PSCR funded eff…
Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection
Jeffrey Liu, Andrew Weinert, Saurabh Amin
Traffic Management Centers (TMCs) routinely use traffic cameras to provide situational awareness regarding traffic, road, and weather conditions. Camera footage is quite useful for…
Semantic Topic Analysis of Traffic Camera Images
Jeffrey Liu, Andrew Weinert, Saurabh Amin
Traffic cameras are commonly deployed monitoring components in road infrastructure networks, providing operators visual information about conditions at critical points in the netwo…
Effects of Information Heterogeneity in Bayesian Routing Games
Jeffrey Liu, Saurabh Amin, Galina Schwartz
This article studies the value of information in route choice decisions when a fraction of players have access to high accuracy information about traffic incidents relative to othe…
Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm
Daniel Khashabi, John Wieting, Jeffrey Yufei Liu +1
In this paper, we propose a model-based clustering method (TVClust) that robustly incorporates noisy side information as soft-constraints and aims to seek a consensus between side…