activity
20202025
most citedAutomatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers

39 citations · 85 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025★ 13 cited

A Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic

Muhammad Imran Zaman, Usama Ijaz Bajwa, Gulshan Saleem +1

Vision sensors are becoming more important in Intelligent Transportation Systems (ITS) for traffic monitoring, management, and optimization as the number of network cameras continu…

cs.CV2021

Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning

Syeda Aneeba Najeeb, Rana Hammad Raza, Adeel Yusuf +1

The increasingly dense traffic is becoming a challenge in our local settings, urging the need for a better traffic monitoring and management system. Fine-grained vehicle classifica…

cs.CV2021★ 9 cited

Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment

Muhammad Ali Farooq, Ammar Ali Khan, Ansar Ahmad +1

Image Super Resolution (SR) finds applications in areas where images need to be closely inspected by the observer to extract enhanced information. One such focused application is a…

cs.CV2021★ 3 cited

Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks

R. Maqsood, UI. Bajwa, G. Saleem +2

Anomalous activity recognition deals with identifying the patterns and events that vary from the normal stream. In a surveillance paradigm, these events range from abuse to fightin…

cs.CV2020★ 21 cited

Performance Evaluation of Advanced Deep Learning Architectures for Offline Handwritten Character Recognition

Moazam Soomro, Muhammad Ali Farooq, Rana Hammad Raza

This paper presents a hand-written character recognition comparison and performance evaluation for robust and precise classification of different hand-written characters. The syste…

cs.CV2020★ 39 cited

Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers

Muhammad Ali Farooq, Muhammad Aatif Mobeen Azhar, Rana Hammad Raza

Technology aided platforms provide reliable tools in almost every field these days. These tools being supported by computational power are significant for applications that need se…