activity
20182022
most citedSemantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network

12 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20227 cited

Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends

Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad +1

Person re-identification (Re-ID) is one of the primary components of an automated visual surveillance system. It aims to automatically identify/search persons in a multi-camera net…

eess.IV202212 cited

Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network

Muhammad Shahzad, Arif Iqbal Umar, Syed Hamad Shirazi +1

Pixel-level analysis of blood images plays a pivotal role in diagnosing blood-related diseases, especially Anaemia. These analyses mainly rely on an accurate diagnosis of morpholog…

cs.CV2021

Segmentation of VHR EO Images using Unsupervised Learning

Sudipan Saha, Lichao Mou, Muhammad Shahzad +1

Semantic segmentation is a crucial step in many Earth observation tasks. Large quantity of pixel-level annotation is required to train deep networks for semantic segmentation. Eart…

cs.CV2020

Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding

Saqib Ali Khan, Yilei Shi, Muhammad Shahzad +1

Semantic segmentation of raw 3D point clouds is an essential component in 3D scene analysis, but it poses several challenges, primarily due to the non-Euclidean nature of 3D point…

eess.IV2018

Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks

Muhammad Shahzad, Michael Maurer, Friedrich Fraundorfer +2

This paper addresses the highly challenging problem of automatically detecting man-made structures especially buildings in very high resolution (VHR) synthetic aperture radar (SAR)…