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Loic Landrieu

11 papers hereh-index 4181 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author9

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV11
same name
  • Loic Landrieu — 30 papers, h 18
  • Loic Landrieu — 4 papers, h 1
  • Loic Landrieu — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedOpen-Canopy: Towards Very High Resolution Forest Monitoring

2 citations · 6 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

FORMSpoT: Revealing Fine-Scale Forest Disturbances from Nation-Wide 1.5 m Forest Canopy Height Time Series

Martin Schwartz, Fajwel Fogel, Nikola Besic +9

Current large-scale satellite-based forest disturbance monitoring systems operate at 10-30~m resolution, too coarse to detect changes at the scale of individual trees and resulting…

cs.CV2025

Order Matters: 3D Shape Generation from Sequential VR Sketches

Yizi Chen, Sidi Wu, Tianyi Xiao +2

VR sketching lets users explore and iterate on ideas directly in 3D, offering a faster and more intuitive alternative to conventional CAD tools. However, existing sketch-to-shape m…

cs.CV2025

Segmenting France Across Four Centuries

Marta López-Rauhut, Hongyu Zhou, Mathieu Aubry +1

Historical maps offer an invaluable perspective into territory evolution across past centuries--long before satellite or remote sensing technologies existed. Deep learning methods…

cs.CV2025

CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis

Abhishek Kuriyal, Elliot Vincent, Mathieu Aubry +1

Global variations in terrain appearance raise a major challenge for satellite image analysis, leading to poor model performance when training on locations that differ from those en…

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