Matthias Bartolo

According to our database, Matthias Bartolo authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Litter detection from aerial imagery: a review of UAV-based approaches and deep learning techniques.

Matthias Bartolo, Gabriel Hili, Dylan Seychell, Matthew Montebello, Carl J. Debono, Saviour Formosa, Konstantinos Makantasis

Multim. Tools Appl., March, 2026

Enhancing Object Detection with Privileged Information: A Model-Agnostic Teacher-Student Approach.

Matthias Bartolo, Dylan Seychell, Gabriel Hili, Matthew Montebello, Carl James Debono, Saviour Formosa, Konstantinos Makantasis

CoRR, January, 2026

2025

MRTMD: A Multi-Resolution Dataset for Evaluating Object Detection in Traffic Monitoring Systems.

Mark Bugeja, Matthias Bartolo, Matthew Montebello, Dylan Seychell

IEEE Access, 2025

Learning Using Privileged Information for Litter Detection.

Matthias Bartolo, Konstantinos Makantasis, Dylan Seychell

Proceedings of the 13th European Workshop on Visual Information Processing, 2025

2024

Correlation of Object Detection Performance with Visual Saliency and Depth Estimation.

Matthias Bartolo, Dylan Seychell

CoRR, 2024

Deep Learning for Speaker Identification: Architectural Insights from AB-1 Corpus Analysis and Performance Evaluation.

Matthias Bartolo

CoRR, 2024

Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection.

Matthias Bartolo, Dylan Seychell, Josef Bajada

CoRR, 2024

2023

Efficient Automatic Annotation of Binary Masks for Enhanced Training of Computer Vision Models.

Dylan Seychell, Matthew Kenely, Matthias Bartolo, Carl James Debono, Mark Bugeja, Matthew Sacco

Proceedings of the IEEE International Symposium on Multimedia, 2023