activity
20192021
most citedLow-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE20211 cited

An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors

Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan +7

Machine learning techniques are becoming a fundamental tool for scientific and engineering progress. These techniques are applied in contexts as diverse as astronomy and spam filte…

cs.CV20211 cited

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks

Abhinav Goel, Caleb Tung, Xiao Hu +4

Low-power computer vision on embedded devices has many applications. This paper describes a low-power technique for the object re-identification (reID) problem: matching a query im…

cs.SE2021

Why Aren't Regular Expressions a Lingua Franca? An Empirical Study on the Re-use and Portability of Regular Expressions

James C. Davis, Louis G. Michael, Christy A. Coghlan +2

This paper explores the extent to which regular expressions (regexes) are portable across programming languages. Many languages offer similar regex syntaxes, and it would be natura…

cs.SE2020

A Principled Approach to GraphQL Query Cost Analysis

Alan Cha, Erik Wittern, Guillaume Baudart +3

The landscape of web APIs is evolving to meet new client requirements and to facilitate how providers fulfill them. A recent web API model is GraphQL, which is both a query languag…

cs.SE2019

An Empirical Study of GraphQL Schemas

Erik Wittern, Alan Cha, James C. Davis +2

GraphQL is a query language for APIs and a runtime to execute queries. Using GraphQL queries, clients define precisely what data they wish to retrieve or mutate on a server, leadin…