Carsten T. Lüth
3 papers · 2024–2026 · 3 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.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Machine Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Clinical
(1)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Processing
(1)
Keywords
failure detection
(2)
out-of-distribution detection
(2)
image segmentation
(1)
uncertainty quantification
(1)
selective classification
(1)
confidence scoring
(1)
risk coverage
(1)
rejection threshold
(1)
generalized risk
(1)
uncertainty estimation
(1)
metric evaluation
(1)
uncertainty aggregation
(1)
active learning
(1)
biomedical image analysis
(1)
semantic segmentation
(1)
Papers
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance
CVPR 2026
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
NeurIPS 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
ICLR 2024