Caleb Robinson
11 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Research topics
Deep Learning
(8)
Machine Learning
(8)
Computer Vision
(7)
Domain-Specific
(6)
Learning Types Β· Deep Learning
(5)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Techniques
(3)
Application Areas
(2)
Optimization & Theory
(2)
Processing
(2)
Artificial Intelligence
(1)
Analysis
(1)
Core AI
(1)
Models
(1)
Keywords
semantic segmentation
(7)
remote sensing
(5)
satellite imagery
(4)
land cover mapping
(3)
instance segmentation
(2)
domain adaptation
(2)
transfer learning
(1)
domain generalization
(1)
zero-shot learning
(1)
medical imaging
(1)
weakly supervised learning
(1)
data augmentation
(1)
batch normalization
(1)
self-supervised learning
(1)
image segmentation
(1)
deep neural network
(1)
earth observation
(1)
deep learning
(1)
foundation model
(1)
object detection
(1)
Papers
Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
AAAI 2026
PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
CVPR 2026
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation
AAAI 2025
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
AAAI 2025
Position: Mission Critical β Satellite Data is a Distinct Modality in Machine Learning
ICML 2024
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
NeurIPS 2023
Resolving label uncertainty with implicit posterior models
UAI 2022
Human-Machine Collaboration for Fast Land Cover Mapping
AAAI 2020
Local Context Normalization: Revisiting Local Normalization
CVPR 2020
Label super-resolution networks
ICLR 2019
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
CVPR 2019