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20192022
most citedUNeXt: MLP-based Rapid Medical Image Segmentation Network

54 citations · 88 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021★ 1 cited

TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions

Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel

Removing adverse weather conditions like rain, fog, and snow from images is an important problem in many applications. Most methods proposed in the literature have been designed to…

cs.CV2021

SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving

Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel

Road extraction is an essential step in building autonomous navigation systems. Detecting road segments is challenging as they are of varying widths, bifurcated throughout the imag…

cs.CV2021★ 3 cited

Image Fusion Transformer

Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza +1

In image fusion, images obtained from different sensors are fused to generate a single image with enhanced information. In recent years, state-of-the-art methods have adopted Convo…

cs.CV2021★ 6 cited

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu +1

Over the past decade, Deep Convolutional Neural Networks have been widely adopted for medical image segmentation and shown to achieve adequate performance. However, due to the inhe…

cs.CV2020

Overcomplete Deep Subspace Clustering Networks

Jeya Maria Jose Valanarasu, Vishal M. Patel

Deep Subspace Clustering Networks (DSC) provide an efficient solution to the problem of unsupervised subspace clustering by using an undercomplete deep auto-encoder with a fully-co…