14 citations · 55 across the 24 of their papers we have counts for
28 papers
Localization Lens for Improving Medical Vision-Language Models
Hasan Farooq, Murtaza Taj, Mehwish Nasim +1
Medical Vision-Language Models (Med-VLMs) have demonstrated strong capabilities in clinical tasks. However, they often struggle to understand anatomical structures and spatial posi…
Progressive Multi-Ancestor Bit-Depth Distillation
Adil Mubashir Chaudhry, Osama Ahmad, Zubair Khalid +1
Model compression strategies are widely employed to reduce memory footprint and network complexity, particularly for devices with constrained computational, memory, and energy reso…
Liver Fibrosis Quantification and Analysis: The LiQA Dataset and Baseline Method
Yuanye Liu, Hanxiao Zhang, Jiyao Liu +5
Liver fibrosis represents a significant global health burden, necessitating accurate staging for effective clinical management. This report introduces the LiQA (Liver Fibrosis Quan…
Exploring State-of-the-art models for Early Detection of Forest Fires
Sharjeel Ahmed, Daim Armaghan, Fatima Naweed +3
There have been many recent developments in the use of Deep Learning Neural Networks for fire detection. In this paper, we explore an early warning system for detection of forest f…
CATVis: Context-Aware Thought Visualization
Tariq Mehmood, Hamza Ahmad, Muhammad Haroon Shakeel +1
EEG-based brain-computer interfaces (BCIs) have shown promise in various applications, such as motor imagery and cognitive state monitoring. However, decoding visual representation…
Building Height Estimation Using Shadow Length in Satellite Imagery
Mahd Qureshi, Shayaan Chaudhry, Sana Jabba +1
Estimating building height from satellite imagery poses significant challenges, especially when monocular images are employed, resulting in a loss of essential 3D information durin…
2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage
Aqs Younas, Arbaz Khan, Hafiz Muhammad Abubakar +4
Pakistan was hit by the world's deadliest flood in June 2022, causing agriculture and infrastructure damage across the country. Remote sensing technology offers a cost-effective an…
Camera Calibration through Geometric Constraints from Rotation and Projection Matrices
Muhammad Waleed, Abdul Rauf, Murtaza Taj
The process of camera calibration involves estimating the intrinsic and extrinsic parameters, which are essential for accurately performing tasks such as 3D reconstruction, object…
Mending of Spatio-Temporal Dependencies in Block Adjacency Matrix
Osama Ahmad, Omer Abdul Jalil, Usman Nazir +1
In the realm of applications where data dynamically evolves across spatial and temporal dimensions, Graph Neural Networks (GNNs) are often complemented by sequence modeling archite…
Analyzing the Knock-on Impacts of 2022 Floods on Rabi 2023 Using Remote Sensing and Field Surveys
Mohammad Sohail, Usman Nazir, Jawairia Ahmad +3
While the world's attention is focused on immediate relief and rescue operations for the affectees of the current floods in Pakistan, knock-on effects are expected to play further…
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) for Remote Land-use Change Detection
Usman Nazir, Wadood Islam, Sara Khalid +1
Land-use monitoring is fundamental for spatial planning, particularly in view of compound impacts of growing global populations and climate change. Despite existing applications of…
Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning
Usman Nazir, Murtaza Taj, Momin Uppal +1
Industrial air pollution has a direct health impact and is a major contributor to climate change. Small scale industries particularly bull-trench brick kilns are one of the key sou…
Detection of Illegal Kiln Activity During SMOG Period
Usman Nazir, Muhammad Awais Ather, Murtaza Taj
Brick Kilns are known to be a leading cause of air pollution. The toxins and gaseous emissions from brick kilns leads to SMOG. It is a mixture of invisible toxic gases such as carb…
Multi-task Learning for Camera Calibration
Talha Hanif Butt, Murtaza Taj
For a number of tasks, such as 3D reconstruction, robotic interface, autonomous driving, etc., camera calibration is essential. In this study, we present a unique method for predic…
Neural Network Pruning Through Constrained Reinforcement Learning
Shehryar Malik, Muhammad Umair Haider, Omer Iqbal +1
Network pruning reduces the size of neural networks by removing (pruning) neurons such that the performance drop is minimal. Traditional pruning approaches focus on designing metri…
Camera Calibration through Camera Projection Loss
Talha Hanif Butt, Murtaza Taj
Camera calibration is a necessity in various tasks including 3D reconstruction, hand-eye coordination for a robotic interaction, autonomous driving, etc. In this work we propose a…
Survey of Image Based Graph Neural Networks
Usman Nazir, He Wang, Murtaza Taj
In this survey paper, we analyze image based graph neural networks and propose a three-step classification approach. We first convert the image into superpixels using the Quickshif…
Spatio-temporal Crop Classification On Volumetric Data
Muhammad Usman Qadeer, Salar Saeed, Murtaza Taj +1
Large-area crop classification using multi-spectral imagery is a widely studied problem for several decades and is generally addressed using classical Random Forest classifier. Rec…
Comprehensive Online Network Pruning via Learnable Scaling Factors
Muhammad Umair Haider, Murtaza Taj
One of the major challenges in deploying deep neural network architectures is their size which has an adverse effect on their inference time and memory requirements. Deep CNNs can…
Attention Neural Network for Trash Detection on Water Channels
Mohbat Tharani, Abdul Wahab Amin, Mohammad Maaz +1
Rivers and canals flowing through cities are often used illegally for dumping the trash. This contaminates freshwater channels as well as causes blockage in sewerage resulting in u…
Cross-View Image Retrieval -- Ground to Aerial Image Retrieval through Deep Learning
Numan Khurshid, Talha Hanif, Mohbat Tharani +1
Cross-modal retrieval aims to measure the content similarity between different types of data. The idea has been previously applied to visual, text, and speech data. In this paper,…
Early Disease Diagnosis for Rice Crop
M. Hammad Masood, Habiba Saim, Murtaza Taj +1
Many existing techniques provide automatic estimation of crop damage due to various diseases. However, early detection can prevent or reduce the extend of damage itself. The limite…
Teacher-Class Network: A Neural Network Compression Mechanism
Shaiq Munir Malik, Muhammad Umair Haider, Mohbat Tharani +2
To reduce the overwhelming size of Deep Neural Networks (DNN) teacher-student methodology tries to transfer knowledge from a complex teacher network to a simple student network. We…
Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation
Waseem Abbas, Muhammad Haroon Shakeel, Numan Khurshid +1
Retinal blood vessels are considered to be the reliable diagnostic biomarkers of ophthalmologic and diabetic retinopathy. Monitoring and diagnosis totally depends on expert analysi…