3 citations · 8 across the 3 of their papers we have counts for
4 papers
Deep Learning based Dimple Segmentation for Quantitative Fractography
Ashish Sinha, K S Suresh
In this work, we try to address the challenging problem of dimple detection and segmentation in Titanium alloys using machine learning methods, especially neural networks. The imag…
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan, Radu Timofte, Ales Leonardis +43
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demo…
GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention
Ashish Sinha, Yohei Sugawara, Yuichiro Hirano
This work investigates the use of guided attention in the reconstruction of CTvolumes from biplanar DRRs. We try to improve the visual image quality of the CT reconstruction using…
Multi-scale self-guided attention for medical image segmentation
Ashish Sinha, Jose Dolz
Even though convolutional neural networks (CNNs) are driving progress in medical image segmentation, standard models still have some drawbacks. First, the use of multi-scale approa…