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20202024
most citedTomato Maturity Recognition with Convolutional Transformers

62 citations · 101 across the 16 of their papers we have counts for

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12 papers · 1 filter

cs.CV2023

Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions

Muhayyuddin Ahmed, Ahsan Baidar Bakht, Taimur Hassan +6

Visual perception is an important component for autonomous navigation of unmanned surface vessels (USV), particularly for the tasks related to autonomous inspection and tracking. T…

cs.CV2023★ 62 cited

Tomato Maturity Recognition with Convolutional Transformers

Asim Khan, Taimur Hassan, Muhammad Shafay +4

Tomatoes are a major crop worldwide, and accurately classifying their maturity is important for many agricultural applications, such as harvesting, grading, and quality control. In…

cs.CV2022★ 1 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…

cs.CV2021★ 2 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,…

cs.CV2021★ 1 cited

Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition

Taimur Hassan, Samet Akcay, Mohammed Bennamoun +2

Identifying potential threats concealed within the baggage is of prime concern for the security staff. Many researchers have developed frameworks that can detect baggage threats fr…