3 papers
cs.CV2021
Maximal function pooling with applications
Wojciech Czaja, Weilin Li, Yiran Li +1
Inspired by the Hardy-Littlewood maximal function, we propose a novel pooling strategy which is called maxfun pooling. It is presented both as a viable alternative to some of the m…
cs.CV2018
Adversarial Examples in Remote Sensing
Wojciech Czaja, Neil Fendley, Michael Pekala +2
This paper considers attacks against machine learning algorithms used in remote sensing applications, a domain that presents a suite of challenges that are not fully addressed by c…
cs.CV2018
Deep Learning based Retinal OCT Segmentation
Mike Pekala, Neil Joshi, David E. Freund +3
Our objective is to evaluate the efficacy of methods that use deep learning (DL) for the automatic fine-grained segmentation of optical coherence tomography (OCT) images of the ret…