1 citations · 1 across the 2 of their papers we have counts for
2 papers
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★ 1 cited
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…