activity
20202026
most citedUsing Simulated Data to Generate Images of Climate Change

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

collaborators

11 papers

cs.SD2026

2-Dimensional spectral gating for denoising bioacoustics recordings

Julien Boussard, Mélisande Teng, Sulagna Saha +1

Isolating vocalizations from noise in bioacoustics recordings is a prerequisite to many ecological analyses, including species identification, animal communication understanding, a…

cs.LG2025

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models

Catherine Villeneuve, Benjamin Akera, Mélisande Teng +1

Species distribution models (SDMs), which aim to predict species occurrence based on environmental variables, are widely used to monitor and respond to biodiversity change. Recent…

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★ 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.LG2024

Predicting Species Occurrence Patterns from Partial Observations

Hager Radi Abdelwahed, Mélisande Teng, David Rolnick

To address the interlinked biodiversity and climate crises, we need an understanding of where species occur and how these patterns are changing. However, observational data on most…

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.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…