22 citations · 35 across the 5 of their papers we have counts for
5 papers
Perception Visualization: Seeing Through the Eyes of a DNN
Loris Giulivi, Mark James Carman, Giacomo Boracchi
Artificial intelligence (AI) systems power the world we live in. Deep neural networks (DNNs) are able to solve tasks in an ever-expanding landscape of scenarios, but our eagerness…
What's wrong with this video? Comparing Explainers for Deepfake Detection
Samuele Pino, Mark James Carman, Paolo Bestagini
Deepfakes are computer manipulated videos where the face of an individual has been replaced with that of another. Software for creating such forgeries is easy to use and ever more…
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control
Yuan Jin, Mark Carman, Ye Zhu +1
Online crowdsourcing provides a scalable and inexpensive means to collect knowledge (e.g. labels) about various types of data items (e.g. text, audio, video). However, it is also k…
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
Ye Zhu, Kai Ming Ting, Mark Carman +1
The problem of inhomogeneous cluster densities has been a long-standing issue for distance-based and density-based algorithms in clustering and anomaly detection. These algorithms…
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing
Yuan Jin, Mark Carman, Ye Zhu +1
The questions in a crowdsourcing task typically exhibit varying degrees of difficulty and subjectivity. Their joint effects give rise to the variation in responses to the same ques…