3 papers
cs.CV2026
TACoS: Weakly Supervised Learning of Two-Dimensional Materials from Scribble Annotations to Precise Segmentation
Jiabei Chen, Liping Zhang, Jiang-Bin Wu +6
The precise pixel-level localization of 2D material flakes is crucial for high-throughput screening. However, traditional fully supervised methods rely on dense annotations, which…
eess.IV2024
Adversarial Deep-Unfolding Network for MA-XRF Super-Resolution on Old Master Paintings Using Minimal Training Data
Herman Verinaz-Jadan, Su Yan, Catherine Higgitt +1
High-quality element distribution maps enable precise analysis of the material composition and condition of Old Master paintings. These maps are typically produced from data acquir…
eess.IV2024
Integrating Deep Unfolding with Direct Diffusion Bridges for Computed Tomography Reconstruction
Herman Verinaz-Jadan, Su Yan
Computed Tomography (CT) is widely used in healthcare for detailed imaging. However, Low-dose CT, despite reducing radiation exposure, often results in images with compromised qual…