3 papers
cs.CV2026
Weakly supervised framework for wildlife detection and counting in challenging Arctic environments: a case study on caribou (Rangifer tarandus)
Ghazaleh Serati, Samuel Foucher, Jerome Theau
Caribou across the Arctic has declined in recent decades, motivating scalable and accurate monitoring approaches to guide evidence-based conservation actions and policy decisions.…
cs.CV2025
Fusion or Confusion? Assessing the impact of visible-thermal image fusion for automated wildlife detection
Camille Dionne-Pierre, Samuel Foucher, Jérôme Théau +4
Efficient wildlife monitoring methods are necessary for biodiversity conservation and management. The combination of remote sensing, aerial imagery and deep learning offer promisin…
cs.CV2025
Lacking Data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: a case study with muskox (Ovibos moschatus)
Simon Durand, Samuel Foucher, Alexandre Delplanque +2
Accurate population estimates are essential for wildlife management, providing critical insights into species abundance and distribution. Traditional survey methods, including visu…