24 citations · 24 across the 3 of their papers we have counts for
4 papers
Normalize Filters! Classical Wisdom for Deep Vision
Gustavo Perez, Stella X. Yu
Classical image filters, such as those for averaging or differencing, are carefully normalized to ensure consistency, interpretability, and to avoid artifacts like intensity shifts…
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
Gustavo Perez, Subhransu Maji, Daniel Sheldon
Many modern applications use computer vision to detect and count objects in massive image collections. However, when the detection task is very difficult or in the presence of doma…
Domain Adaptor Networks for Hyperspectral Image Recognition
Gustavo Perez, Subhransu Maji
We consider the problem of adapting a network trained on three-channel color images to a hyperspectral domain with a large number of channels. To this end, we propose domain adapto…
StarcNet: Machine Learning for Star Cluster Identification
Gustavo Perez, Matteo Messa, Daniela Calzetti +4
We present a machine learning (ML) pipeline to identify star clusters in the multi{color images of nearby galaxies, from observations obtained with the Hubble Space Telescope as pa…