3 papers
eess.IV2026
Converting T1-weighted MRI from 3T to 7T quality using deep learning
Malo Gicquel, Ruoyi Zhao, Anika Wuestefeld +12
The paper introduces deep learning models (a U‑Net and a GAN‑enhanced U‑Net) that generate synthetic 7 T‑quality T1‑weighted brain MRI from standard 3 T scans, achieving image deta…
cs.CV2026
Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
Viktor Kocur, Sithu Aung, Gabrielle Flood +4
Monocular depth estimation has improved significantly in recent years, driven by increasingly powerful models and large-scale training data. Predicted depth is increasingly used as…
cs.CV2025
Visual Re-Ranking with Non-Visual Side Information
Gustav Hanning, Gabrielle Flood, Viktor Larsson
The standard approach for visual place recognition is to use global image descriptors to retrieve the most similar database images for a given query image. The results can then be…