Caleb Robinson
10 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (21) π Academic Marathon (6) π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
AAAI (4)
CVPR (2)
ICLR (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
semantic segmentation
(5)
remote sensing
(4)
satellite imagery
(4)
instance segmentation
(2)
land cover mapping
(2)
domain adaptation
(2)
object detection
(1)
self-supervised learning
(1)
weakly supervised learning
(1)
batch normalization
(1)
deep learning
(1)
earth observation
(1)
deep neural network
(1)
foundation model
(1)
vision-language model
(1)
noisy label
(1)
instance normalization
(1)
location embedding
(1)
label uncertainty
(1)
multispectral imagery
(1)
Papers
Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
AAAI 2026
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
AAAI 2025
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation
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
NIPS 2023
Resolving label uncertainty with implicit posterior models
UAI 2022
Local Context Normalization: Revisiting Local Normalization
CVPR 2020
Human-Machine Collaboration for Fast Land Cover Mapping
AAAI 2020
Label super-resolution networks
ICLR 2019
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
CVPR 2019