most citedSatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2025

Identifying birdsong syllables without labelled data

Mélisande Teng, Julien Boussard, David Rolnick +1

Identifying sequences of syllables within birdsongs is key to tackling a wide array of challenges, including bird individual identification and better understanding of animal commu…

cs.LG2025

CISO: Species Distribution Modeling Conditioned on Incomplete Species Observations

Hager Radi Abdelwahed, Mélisande Teng, Robin Zbinden +4

Species distribution models (SDMs) are widely used to predict species' geographic distributions, serving as critical tools for ecological research and conservation planning. Typica…

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.LG2023★ 2 cited

SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data

Mélisande Teng, Amna Elmustafa, Benjamin Akera +4

Biodiversity is declining at an unprecedented rate, impacting ecosystem services necessary to ensure food, water, and human health and well-being. Understanding the distribution of…

cs.LG2023★ 1 cited

Unlearning via Sparse Representations

Vedant Shah, Frederik Träuble, Ashish Malik +5

Machine \emph{unlearning}, which involves erasing knowledge about a \emph{forget set} from a trained model, can prove to be costly and infeasible by existing techniques. We propose…

cs.CV2023

Bird Distribution Modelling using Remote Sensing and Citizen Science data

Mélisande Teng, Amna Elmustafa, Benjamin Akera +2

Climate change is a major driver of biodiversity loss, changing the geographic range and abundance of many species. However, there remain significant knowledge gaps about the distr…