2 papers
cs.CV2026
Another BRIXEL in the Wall: Towards Cheaper Dense Features
Alexander Lappe, Martin A. Giese
Vision foundation models achieve strong performance on both global and locally dense downstream tasks. Pretrained on large images, the recent DINOv3 model family is able to produce…
cs.LG2025
Single-Example Learning in a Mixture of GPDMs with Latent Geometries
Jesse St. Amand, Leonardo Gizzi, Martin A. Giese
We present the Gaussian process dynamical mixture model (GPDMM) and show its utility in single-example learning of human motion data. The Gaussian process dynamical model (GPDM) is…