14 citations · 55 across the 24 of their papers we have counts for
19 papers · 1 filter
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…
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…
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…
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…
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…
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…
Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia
Usman Nazir, Numan Khurshid, Muhammad Ahmed Bhimra +1
This paper proposes to employ a Inception-ResNet inspired deep learning architecture called Tiny-Inception-ResNet-v2 to eliminate bonded labor by identifying brick kilns within "Br…
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network
Mohbat Tharani, Numan Khurshid, Murtaza Taj
The advent of deep perceptual networks brought about a paradigm shift in machine vision and image perception. Image apprehension lately carried out by hand-crafted features in the…
Point cloud segmentation using hierarchical tree for architectural models
Omair Hassaan, Abeera Shamail, Zain Butt +1
Recent developments in the 3D scanning technologies have made the generation of highly accurate 3D point clouds relatively easy but the segmentation of these point clouds remains a…