activity
20192022
most citedLesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units

5 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20223 cited

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results

Furkan Kınlı, Sami Menteş, Barış Özcan +30

This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations,…

eess.IV20205 cited

Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units

Sabari Nathan, Priya Kansal

Skin lesions segmentation is an important step in the process of automated diagnosis of the skin melanoma. However, the accuracy of segmenting melanomas skin lesions is quite a cha…

cs.CV2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87

This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…

cs.CV2019

Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation

Priya Kansal, Sabari Nathan

With the immersive development in the field of augmented and virtual reality, accurate and speedy eye-tracking is required. Facebook Research has organized a challenge, named OpenE…

cs.CV2019

SkeletonNet: Shape Pixel to Skeleton Pixel

Sabari Nathan, Priya Kansal

Deep Learning for Geometric Shape Understating has organized a challenge for extracting different kinds of skeletons from the images of different objects. This competition is organ…