3 papers
cs.CV2026
Unblur-SLAM: Dense Neural SLAM for Blurry Inputs
Qi Zhang, Denis Rozumny, Francesco Girlanda +4
We propose Unblur-SLAM, a novel RGB SLAM pipeline for sharp 3D reconstruction from blurred image inputs. In contrast to previous work, our approach is able to handle different type…
cs.CV2025
Deblur Gaussian Splatting SLAM
Francesco Girlanda, Denys Rozumnyi, Marc Pollefeys +1
We present Deblur-SLAM, a robust RGB SLAM pipeline designed to recover sharp reconstructions from motion-blurred inputs. The proposed method bridges the strengths of both frame-to-…
cs.CV2024
Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning
Francesco Girlanda, Olga Demler, Bjoern Menze +1
Accurate prediction of cardiovascular diseases remains imperative for early diagnosis and intervention, necessitating robust and precise predictive models. Recently, there has been…