activity
20202022
most citedCascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans

15 citations · 37 across the 12 of their papers we have counts for

collaborators

14 papers

eess.IV2022

An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs

Mehreen Sirshar, Taimur Hassan, Muhammad Usman Akram +1

Pulmonary diseases can cause severe respiratory problems, leading to sudden death if not treated timely. Many researchers have utilized deep learning systems to diagnose pulmonary…

cs.CV20221 cited

A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items

Taimur Hassan, Samet Akcay, Mohammed Bennamoun +2

Screening cluttered and occluded contraband items from baggage X-ray scans is a cumbersome task even for the expert security staff. This paper presents a novel strategy that extend…

cs.CV2021

Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats

Muhammed Shafay, Taimur Hassan, Ernesto Damiani +1

Detection of illegal and threatening items in baggage is one of the utmost security concern nowadays. Even for experienced security personnel, manual detection is a time-consuming…

eess.IV2021

Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning

Taimur Hassan, Bilal Hassan, Muhammad Usman Akram +3

Retinopathy represents a group of retinal diseases that, if not treated timely, can cause severe visual impairments or even blindness. Many researchers have developed autonomous sy…

eess.IV2021

Automated segmentation and extraction of posterior eye segment using OCT scans

Bilal Hassan, Taimur Hassan, Ramsha Ahmed +2

This paper proposes an automated method for the segmentation and extraction of the posterior segment of the human eye, including the vitreous, retina, choroid, and sclera compartme…

cs.CV20212 cited

Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition

Taimur Hassan, Samet Akcay, Mohammed Bennamoun +2

Automated systems designed for screening contraband items from the X-ray imagery are still facing difficulties with high clutter, concealment, and extreme occlusion. In this paper,…