23 citations · 27 across the 26 of their papers we have counts for
7 papers · 1 filter
Improving Satellite Imagery Masking using Multi-task and Transfer Learning
Rangel Daroya, Luisa Vieira Lucchese, Travis Simmons +5
Many remote sensing applications employ masking of pixels in satellite imagery for subsequent measurements. For example, estimating water quality variables, such as Suspended Sedim…
WildSAT: Learning Satellite Image Representations from Wildlife Observations
Rangel Daroya, Elijah Cole, Oisin Mac Aodha +2
Species distributions encode valuable ecological and environmental information, yet their potential for guiding representation learning in remote sensing remains underexplored. We…
Combining Observational Data and Language for Species Range Estimation
Max Hamilton, Christian Lange, Elijah Cole +5
Species range maps (SRMs) are essential tools for research and policy-making in ecology, conservation, and environmental management. However, traditional SRMs rely on the availabil…
Feedback in emerging extragalactic star clusters, FEAST: The relation between 3.3 m PAH emission and Star Formation Rate traced by ionized gas in NGC 628
Benjamin Gregg, Daniela Calzetti, Angela Adamo +23
We present maps of ionized gas (traced by Pa and Br) and 3.3 m Polycyclic Aromatic Hydrocarbon (PAH) emission in the nearby spiral galaxy NGC 628, derived from new JWST/NI…
OSLO: One-Shot Label-Only Membership Inference Attacks
Yuefeng Peng, Jaechul Roh, Subhransu Maji +1
We introduce One-Shot Label-Only (OSLO) membership inference attacks (MIAs), which accurately infer a given sample's membership in a target model's training set with high precision…
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
Rangel Daroya, Aaron Sun, Subhransu Maji
Modeling and visualizing relationships between tasks or datasets is an important step towards solving various meta-tasks such as dataset discovery, multi-tasking, and transfer lear…
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
Oindrila Saha, Grant Van Horn, Subhransu Maji
The zero-shot performance of existing vision-language models (VLMs) such as CLIP is limited by the availability of large-scale, aligned image and text datasets in specific domains.…