activity
20172022
most citedA Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network

56 citations · 99 across the 17 of their papers we have counts for

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2 papers · 1 filter

eess.IV2020★ 2 cited

CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans

Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah +1

Automatic lung lesions segmentation of chest CT scans is considered a pivotal stage towards accurate diagnosis and severity measurement of COVID-19. Traditional U-shaped encoder-de…

eess.IV2019

Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking

Yuan Zhou, Xiaoting Du, Yeda Zhang +1

In general, image restoration involves mapping from low quality images to their high-quality counterparts. Such optimal mapping is usually non-linear and learnable by machine learn…