4 papers
Native Hierarchical and Compositional Representations with Subspace Embeddings
Gabriel Moreira, Zita Marinho, Manuel Marques +2
Traditional embeddings represent datapoints as vectors, which makes similarity easy to compute but limits how well they capture hierarchies and compositionality. We propose a funda…
Spectral Guidance for Flexible and Efficient Control of Diffusion Models
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
We introduce Spectral Guidance, a framework for controlling diffusion models by leveraging the intrinsic geometry of the generative process. As data is progressively corrupted by n…
How to rewrite the stars: Mapping your orchard over time through constellations of fruits
Gonçalo P. Matos, Carlos Santiago, João P. Costeira +2
Following crop growth through the vegetative cycle allows farmers to predict fruit setting and yield in early stages, but it is a laborious and non-scalable task if performed by a…
Learning Visual-Semantic Subspace Representations
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
Learning image representations that capture rich semantic relationships remains a significant challenge. Existing approaches are either contrastive, lacking robust theoretical guar…