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RechercheWildAI WildAI is an interdisciplinary project that aims to bring together behavioral neurosciences, ecology, environmental computational sciences, computer vision and machine learning to scale up conservation research. From unmanned aerial vehicles (UAV) and camera trap (CT) acquired images, we seek to model the wildlife habitats in the Swiss National Park to complement ecological knowledge of how wildlife interacts with its environment and how perturbations in the environment can in turn affect wildlife behavior. Technically, perspectives of the project touch upon automation of species classification, animal behavior synthesis, individual re-identification, habitat reconstruction and spatio-temporal modeling of multi-species & species-environment interactions.project page
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
David Atienza Alonso, Leila Cammoun, Marina Zapater Sancho, Tomas Teijeiro Campo, Valentin Alexandre Guy Gabeff
Devis Tuia, Alexander Mathis, Marc Conrad Russwurm, Valentin Alexandre Guy Gabeff
Devis Tuia, Alexander Mathis, Marc Conrad Russwurm, Valentin Alexandre Guy Gabeff