Petros Maragos

PredJSal: Video Saliency via Predictive Self-Supervised Representations

Learning to See through Action: Predictive Curiosity for Robots

Humans and animals do not learn vision from a fixed set of data: they move, interact, and learn from the visual consequences of their actions. Motivated by this developmental view, we study whether robots can improve visual learning by actively collecting experience through curiosity-driven interaction. We introduce Dy...

Correlational Training of Morphological Neural Networks

Neural networks are typically trained using first-order methods and back-propagation. It is unclear whether this approach is optimal for morphological layers whose weight Jacobians are sparse and whose resulting parameter gradients can be poor. In this work, we propose a novel weight update method for morphological neu...

GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition

GLAM-SLAM is presented, a real-time, decoupled Gaussian-splatting SLAM system designed for large-scale outdoor scenes, and proposes a scene-partitioning strategy that introduces a strong spatial inductive bias via MLP initializations to generate localized Gaussians.