most citedLight Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images

13 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV20201 cited

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4

This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…

cs.CV20203 cited

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…

eess.IV202013 cited

Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images

D. Sabari Nathan, K. Uma, D Synthiya Vinothini +2

Hyperspectral Imaging is the acquisition of spectral and spatial information of a particular scene. Capturing such information from a specialized hyperspectral camera remains costl…

cs.CV20207 cited

Moire Image Restoration using Multi Level Hyper Vision Net

D. Sabari Nathan, M. Parisa Beham, S. M. Md Mansoor Roomi

A moire pattern in the images is resulting from high frequency patterns captured by the image sensor (colour filter array) that appear after demosaicing. These Moire patterns would…

eess.IV2019

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit

D. Sabarinathan, M. Parisa Beham, S. M. Md. Mansoor Roomi

KiTs19 challenge paves the way to haste the improvement of solid kidney tumor semantic segmentation methodologies. Accurate segmentation of kidney tumor in computer tomography (CT)…