242 citations · 405 across the 9 of their papers we have counts for
9 papers
Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection
Iris de Gélis, Sudipan Saha, Muhammad Shahzad +3
Change detection from traditional \added{2D} optical images has limited capability to model the changes in the height or shape of objects. Change detection using 3D point cloud \ad…
Deep dual stream residual network with contextual attention for pansharpening of remote sensing images
Syeda Roshana Ali, Anis Ur Rahman, Muhammad Shahzad
Pansharpening enhances spatial details of high spectral resolution multispectral images using features of high spatial resolution panchromatic image. There are a number of traditio…
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…
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…
Orientation Aware Weapons Detection In Visual Data : A Benchmark Dataset
Nazeef Ul Haq, Muhammad Moazam Fraz, Tufail Sajjad Shah Hashmi +1
Automatic detection of weapons is significant for improving security and well being of individuals, nonetheless, it is a difficult task due to large variety of size, shape and appe…
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…
A Survey of Uncertainty in Deep Neural Networks
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali +11
Due to their increasing spread, confidence in neural network predictions became more and more important. However, basic neural networks do not deliver certainty estimates or suffer…
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…
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)…