Hannah Kerner
10 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(20)
π
Century Club
(10)
β
The Questioner
Conferences
AAAI (4)
ICML (3)
WACV (2)
NIPS (1)
Top co-authors
Keywords
satellite imagery
(5)
image classification
(4)
semantic segmentation
(3)
remote sensing
(3)
anomaly detection
(1)
object detection
(1)
self-supervised learning
(1)
data augmentation
(1)
image captioning
(1)
instance segmentation
(1)
deep learning
(1)
supervised classification
(1)
machine learning
(1)
image analysis
(1)
image regression
(1)
deep learning model
(1)
benchmark dataset
(1)
foundation model
(1)
dense prediction
(1)
bias amplification
(1)
Papers
A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
WACV 2026
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
ICML 2025
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
Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images
AAAI 2025
Position: Mission Critical β Satellite Data is a Distinct Modality in Machine Learning
ICML 2024
Position: Application-Driven Innovation in Machine Learning
ICML 2024
ConeQuest: A Benchmark for Cone Segmentation on Mars
WACV 2024
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data
AAAI 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring
NIPS 2023