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Etienne Laliberté

3 accepted papers

2026

PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data

AAAI 2026technical

Global plant maps of plant traits, such as leaf nitrogen or plant height, are essential for understanding ecosystem processes, including the carbon and energy cycles of the Earth system. However, existing trait maps remain limited by the high cost and sparse geographic coverage of field-based measur

Cited by 0SourcePDFScholar
2026

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

ICLR 2026poster

Detecting individual tree crowns in tropical forests is essential to study these complex and crucial ecosystems impacted by human interventions and climate change. However, tropical crowns vary widely in size, structure, and pattern and are largely overlapping and intertwined, requiring advanced rem…

Cited by 0SourceScholar
2025

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

NeurIPS 2025poster

Information on trees at the individual level is crucial for monitoring forest ecosystems and planning forest management. Current monitoring methods involve ground measurements, requiring extensive cost, time and labour. Advances in drone remote sensing and computer vision offer great potential for…

Cited by 0SourceScholar