Search Results - "Fraz, Muhammad Moazam"

Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning by Perwaiz, Nazia, Moazam Fraz, Muhammad, Shahzad, Muhammad

“…Person Re-Identification (Re-Id) is among the main constituents of an automated visual surveillance system. It aims at finding out true matches of a given…”
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An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation by Fraz, Muhammad Moazam, Remagnino, Paolo, Hoppe, Andreas, Uyyanonvara, Bunyarit, Rudnicka, Alicja R., Owen, Christopher G., Barman, Sarah A.

“…This paper presents a new supervised method for segmentation of blood vessels in retinal photographs. This method uses an ensemble system of bagged and boosted…”
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TransPose Re-ID: transformers for pose invariant person Re-identification by Perwaiz, Nazia, Shahzad, Muhammad, Moazam Fraz, Muhammad

“…Person re-identification (Re-ID) is a computer vision task that involves recognizing and tracking individuals across multiple non-overlapping cameras or over…”
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Multisized Object Detection Using Spaceborne Optical Imagery by Haroon, Muhammad, Shahzad, Muhammad, Fraz, Muhammad Moazam

“…This article addresses the highly challenging problem of vehicle detection from high-resolution remote sensing imagery by introducing a novel medium size…”
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Fast Optic Disc Segmentation in Retina Using Polar Transform by Zahoor, Muhammad Nauman, Fraz, Muhammad Moazam

“…Glaucoma is one among major causes of blindness in working population. Early detection of Glaucoma through automated retinal image analysis helps in preventing…”
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Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm by Abdullah, Muhammad, Fraz, Muhammad Moazam, Barman, Sarah A

“…Automated retinal image analysis has been emerging as an important diagnostic tool for early detection of eye-related diseases such as glaucoma and diabetic…”
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Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs) by Rizvi, Syed Khurram Jah, Azad, Muhammad Ajmal, Fraz, Muhammad Moazam

“…The survey paper summarizes the recent applications and developments in the domain of Generative Adversarial Networks (GANs) i.e. a back propagation based…”
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On the frontiers of pose invariant face recognition: a review by Ahmed, Sheikh Bilal, Ali, Syed Farooq, Ahmad, Jameel, Adnan, Muhammad, Fraz, Muhammad Moazam

“…Computer vision systems open a new challenge to recognize human faces under varied poses in similar capacity and capability as human-beings perform naturally…”
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Vision-Based 3-D Localization of UAV Using Deep Image Matching by Khurshid, Mansoor, Shahzad, Muhammad, Khattak, Hasan Ali, Malik, Muhammad Imran, Fraz, Muhammad Moazam

“…Unmanned aerial vehicles (UAVs) have revolutionized various industries by providing efficient and automated flight capabilities. However, reliance on GPS and…”
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Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio by Badawi, Sufian A., Fraz, Muhammad Moazam, Shehzad, Muhammad, Mahmood, Imran, Javed, Sajid, Mosalam, Emad, Nileshwar, Ajay Kamath

“…Hypertensive retinopathy (HR) refers to changes in the morphological diameter of the retinal vessels due to persistent high blood pressure. Early detection of…”
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Optimizing the trainable B-COSFIRE filter for retinal blood vessel segmentation by Badawi, Sufian A, Fraz, Muhammad Moazam

“…Segmentation of the retinal blood vessels using filtering techniques is a widely used step in the development of an automated system for diagnostic retinal…”
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DPRNet: Deep 3D Point Based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds by Arshad, Saira, Shahzad, Muhammad, Riaz, Qaiser, Fraz, Muhammad Moazam

“…Point clouds are an important type of geometric data obtained from a variety of 3D sensors. They do not have an explicit neighborhood structure and therefore…”
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Stochastic attentions and context learning for person re-identification by Perwaiz, Nazia, Fraz, Muhammad Moazam, Shahzad, Muhammad

“…The discriminative parts of people's appearance play a significant role in their re-identification across non overlapping camera views. However, just focusing…”
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PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable by Rizvi, Syed Khurram Jah, Aslam, Warda, Shahzad, Muhammad, Saleem, Shahzad, Fraz, Muhammad Moazam

“…Enterprises are striving to remain protected against malware-based cyber-attacks on their infrastructure, facilities, networks and systems. Static analysis is…”
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A Correction to the Article "Fast Optic Disc Segmentation in Retina Using Polar Transform" by Zahoor, Muhammad Nauman, Fraz, Muhammad Moazam

“…The end-to-end processing pipeline of Glaucoma detection in retinal images includes the following steps; 1) Robust segmentation of Optic Disc (OD), 2)…”
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A vehicular network–based intelligent transport system for smart cities by Zaheer, Tayyaba, Malik, Asad Waqar, Rahman, Anis Ur, Zahir, Ayesha, Fraz, Muhammad Moazam

“…Smart cities and the Internet of Things have enabled the integration of communicating devices for efficient decision-making. Notably, traffic congestion is one…”
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Person re-identification: A retrospective on domain specific open challenges and future trends by Zahra, Asmat, Perwaiz, Nazia, Shahzad, Muhammad, Fraz, Muhammad Moazam

“…•Person Re-Identification in a multi-camera network with non-overlapping FOVs.•Open challenges in Person Re-ID are identified and discussed.•Challenge-specific…”
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Vision Transformers in medical computer vision—A contemplative retrospection by Parvaiz, Arshi, Khalid, Muhammad Anwaar, Zafar, Rukhsana, Ameer, Huma, Ali, Muhammad, Fraz, Muhammad Moazam

“…Vision Transformers (ViTs), with the magnificent potential to unravel the information contained within images, have evolved as one of the most contemporary and…”
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Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images by Shaban, Muhammad, Awan, Ruqayya, Fraz, Muhammad Moazam, Azam, Ayesha, Tsang, Yee-Wah, Snead, David, Rajpoot, Nasir M.

“…Digital histology images are amenable to the application of convolutional neural networks (CNNs) for analysis due to the sheer size of pixel data present in…”
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Nuclei probability and centroid map network for nuclei instance segmentation in histology images by Rashid, Syed Nauyan, Fraz, Muhammad Moazam

“…Nuclei instance segmentation is an integral step in digital pathology workflow as it is a prerequisite for most downstream tasks such as patient survival…”
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