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20202026
most citedUsing Simulated Data to Generate Images of Climate Change

5 citations · 11 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025★ 2 cited

SelvaBox: A high-resolution dataset for tropical tree crown detection

Hugo Baudchon, Arthur Ouaknine, Martin Weiss +5

Detecting individual tree crowns in tropical forests is essential to study these complex and crucial ecosystems impacted by human interventions and climate change. However, tropica…

cs.CV2025

Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery

Mélisande Teng, Arthur Ouaknine, Etienne Laliberté +3

Information on trees at the individual level is crucial for monitoring forest ecosystems and planning forest management. Current monitoring methods involve ground measurements, req…

cs.CV2025

Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery

Mélisande Teng, Arthur Ouaknine, Etienne Laliberté +3

The potential of tree planting as a natural climate solution is often undermined by inadequate monitoring of tree planting projects. Current monitoring methods involve measuring tr…

cs.CV2021★ 2 cited

ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods

Victor Schmidt, Alexandra Sasha Luccioni, Mélisande Teng +8

Climate change is a major threat to humanity, and the actions required to prevent its catastrophic consequences include changes in both policy-making and individual behaviour. Howe…

cs.CV2020★ 5 cited

Using Simulated Data to Generate Images of Climate Change

Gautier Cosne, Adrien Juraver, Mélisande Teng +4

Generative adversarial networks (GANs) used in domain adaptation tasks have the ability to generate images that are both realistic and personalized, transforming an input image whi…