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20192026
most citedSemantic Labeling of High Resolution Images Using EfficientUNets and Transformers

27 citations · 41 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

SENTRY: SAM2-Enhanced Neighbor-Aware and Temporally Reasoned Memory for Visual Tracking

Mohamad Alansari, Yonathan Michael, Hasan AlMarzouqi +3

We revisit the memory update mechanism in SAM2-based visual object tracking and identify confidence-only mask selection as the dominant cause of drift under occlusion, rapid motion…

cs.CV2022

A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting

Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis

Earth Observatory is a growing research area that can capitalize on the powers of AI for short time forecasting, a Now-casting scenario. In this work, we tackle the challenge of we…

cs.CV2022★ 8 cited

Multi-Label Retinal Disease Classification using Transformers

M. A. Rodriguez, H. AlMarzouqi, P. Liatsis

Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. In this research, a novel multi-label classificatio…

cs.CV2022★ 27 cited

Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers

Hasan AlMarzouqi, Lyes Saad Saoud

Semantic segmentation necessitates approaches that learn high-level characteristics while dealing with enormous amounts of data. Convolutional neural networks (CNNs) can learn uniq…

cs.CV2022★ 1 cited

SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers

Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis

Traffic forecasting is an important element of mobility management, an important key that drives the logistics industry. Over the years, lots of work have been done in Traffic fore…

cs.CV2020★ 5 cited

Traffic flow prediction using Deep Sedenion Networks

Alabi Bojesomo, Panos Liatsis, Hasan Al Marzouqi

In this paper, we present our solution to the Traffic4cast2020 traffic prediction challenge. In this competition, participants are to predict future traffic parameters (speed and v…