Julia Schnabel
4 papers · 2022–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(15)
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Computer Vision
(2)
Learning Types · Machine Learning
(2)
Healthcare & Medicine
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Clinical
(1)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
medical imaging
(2)
domain adaptation
(2)
zero-shot learning
(1)
variational inference
(1)
uncertainty quantification
(1)
test-time adaptation
(1)
visual grounding
(1)
variational bayesian
(1)
image registration
(1)
distribution shift
(1)
vision-language model
(1)
uncertainty estimation
(1)
tabular data
(1)
weight merging
(1)
diffeomorphic registration
(1)
similarity metric
(1)
layer selection
(1)
zero-shot prediction
(1)
cardiac magnetic resonance
(1)
cardiac mri
(1)
Papers
Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
WACV 2026
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding
WACV 2026
Tables Guide Vision: Learning to See the Heart through Tabular Data
WACV 2026
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration
CVPR 2022