Introducing CRISP! Self-supervised multi-view pre-training using remote sensing!. @leg2015 will present our project at #ECCV2024 in Milan on 10/1 at 8:30. Stop by!. Our model pre-trains on ground and aerial images for downstream natural world tasks.

RT @m_karageorgi: How is functional variation at large-effect loci maintained in natural populations?. Thrilled to share our work on how be….

RT @MExpositoAlonso: One key challenges for biodiversity monitoring at @UNBiodiversity #COP16 is *where species are*. @leg2015 led a AI dee….

RT @MExpositoAlonso: Very excited to see our @PNASNews paper led by @leg2015 on deep learning maps of plant species using remote sensing….

RT @MExpositoAlonso: After a recent @PNASNews, Lauren Gillespie @leg2015 continues her saga w/ a new paper together with undergrad Andy Huy….

RT @leg2015: One ocean, two planes, three trains, and 35 stickers later (long story), my first ECCV poster is finally on the books! https:/….

RT @leg2015: Hey #ECCV24 be sure to stop by tomorrow’s morning poster session to check out CRISP, our new multimodal contrastive pretrainin….