2 citations · 4 across the 3 of their papers we have counts for
4 papers
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
Patrick Feeney, Michael C. Hughes
The information noise-contrastive estimation (InfoNCE) loss function provides the basis of many self-supervised deep learning methods due to its strong empirical results and theore…
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
Patrick Feeney, Sarah Schneider, Panagiotis Lymperopoulos +3
In order for artificial agents to successfully perform tasks in changing environments, they must be able to both detect and adapt to novelty. However, visual novelty detection rese…
Evaluating the Use of Reconstruction Error for Novelty Localization
Patrick Feeney, Michael C. Hughes
The pixelwise reconstruction error of deep autoencoders is often utilized for image novelty detection and localization under the assumption that pixels with high error indicate whi…
4-D Scene Alignment in Surveillance Video
Robert Wagner, Daniel Crispell, Patrick Feeney +1
Designing robust activity detectors for fixed camera surveillance video requires knowledge of the 3-D scene. This paper presents an automatic camera calibration process that provid…