3 papers
cs.LG2026
Adversarial Dependence Minimization
Pierre-François De Plaen, Tinne Tuytelaars, Marc Proesmans +1
Minimally redundant representations are typically learned by minimizing feature covariance. However, covariance-based methods fail to eliminate all dependencies/redundancies, as li…
cs.CV2026
Self-Supervised Learning with a Multi-Task Latent Space Objective
Pierre-François De Plaen, Abhishek Jha, Luc Van Gool +2
We propose a multi-task formulation of self-predictive Siamese SSL in which each spatial transformation defines a distinct latent-space alignment task, solved by a dedicated predic…
cs.CV2025
Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes
Nicola Marinello, Simen Cassiman, Jonas Heylen +2
Autonomous vehicles need a complete map of their surroundings to plan and act. This has sparked research into the tasks of 3D occupancy prediction, 3D scene completion, and 3D pano…