Scott Loarie — accepted AI-conference papers

2023

Spatial Implicit Neural Representations for Global-Scale Species Mapping

Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona +2

ICML 2023poster

Estimating the geographical range of a species from sparse observations is a challenging and important geospatial prediction problem. Given a set of locations where a species has been observed, the goal is to build a model to predict whether the species is present or absent at any location. This pro…

Cited by 42 Source ↗PDF ↗code ↗Scholar ↗

2018

Lean Multiclass Crowdsourcing

Grant Van Horn, Steve Branson, Scott Loarie, Serge Belongie, Pietro Perona

CVPR 2018poster

We introduce a method for efficiently crowdsourcing multiclass annotations in challenging, real world image datasets. Our method is designed to minimize the number of human annotations that are necessary to achieve a desired level of confidence on class labels. It is based on combining models of wor…

Cited by 24 Source ↗PDF ↗Scholar ↗