8 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
Recurrent network dynamics explain the time course of perceptual grouping in natural scenes
Sami Mollard, Alekh K. Ashok, Lore Goetschalckx +4
How the brain groups image elements into coherent objects in natural scenes remains unclear. Existing models for grouping in biological vision rely on simplified stimuli with expli…
Future Querying: Can LLMs Serve as Implicit Medical World Models?
Siri Willems, James Butterworth, Lore Goetschalckx +4
Traditional clinical prediction models rely on task-specific pipelines and curated, structured data, which scale poorly and underutilize unstructured text. To address this, we intr…
Addressing Detail Bottlenecks in Latent Diffusion for RGB-to-SWIR Image Translation
Kaili Wang, Martin Dimitrievski, Jose Maria Salvador +3
Latent diffusion models (LDMs) enable efficient image-to-image translation but discard fine spatial details during compression, degrading downstream perception tasks. We identify t…
Capability Interpretability: Human Interpretability of Vision Foundation Models
Julien Colin, Lore Goetschalckx, Nuria Oliver +1
How interpretable are the features of leading vision models? The question is increasingly pressing as these models move from research benchmarks into high-stakes deployments, yet e…