4 papers
How do Self-Supervised Remote Sensing Vision Models Transfer to Downstream Tasks?
Julia Romero, Qin Lv, Morteza Karimzadeh
Self-supervised geospatial foundation models (GeoFMs) learn transferable representations from remote sensing data, but their downstream behavior is difficult to characterize. We st…
Graph-Based Multimodal and Multi-view Alignment for Keystep Recognition
Julia Lee Romero, Kyle Min, Subarna Tripathi +1
Egocentric videos capture scenes from a wearer's viewpoint, resulting in dynamic backgrounds, frequent motion, and occlusions, posing challenges to accurate keystep recognition. We…
Keystep Recognition using Graph Neural Networks
Julia Lee Romero, Kyle Min, Subarna Tripathi +1
We pose keystep recognition as a node classification task, and propose a flexible graph-learning framework for fine-grained keystep recognition that is able to effectively leverage…
Exploring the Potential of Latent Embeddings for Sea Ice Characterization using ICESat-2 Data
Daehyeon Han, Morteza Karimzadeh
The Ice, Cloud, and Elevation Satellite-2 (ICESat-2) provides high-resolution measurements of sea ice height. Recent studies have developed machine learning methods on ICESat-2 dat…