Hannah Kerner
13 papers · 2023–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Computer Vision
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(4)
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satellite imagery
(5)
semantic segmentation
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image classification
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remote sensing
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self-supervised learning
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foundation model
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data augmentation
(2)
object detection
(1)
transformer
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anomaly detection
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image captioning
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instance segmentation
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model merging
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deep learning
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multimodal learning
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domain generalization
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machine learning
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supervised classification
(1)
image analysis
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earth observation
(1)
Papers
A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
WACV 2026
MOMO: Mars Orbital MOdel Foundation Model for Mars Orbital Applications
CVPR 2026
OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
CVPR 2026
PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
CVPR 2026
Data Augmentation Approaches for Satellite Imagery
AAAI 2025
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation
AAAI 2025
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
ICML 2025
Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images
AAAI 2025
ConeQuest: A Benchmark for Cone Segmentation on Mars
WACV 2024
Position: Application-Driven Innovation in Machine Learning
ICML 2024
Position: Mission Critical β Satellite Data is a Distinct Modality in Machine Learning
ICML 2024
GEO-Bench: Toward Foundation Models for Earth Monitoring
NeurIPS 2023
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data
AAAI 2023