Dylan Seychell

According to our database, Dylan Seychell authored at least 39 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

A Hybrid Deterministic Framework for Named Entity Extraction in Broadcast News Video.

Andrea Filiberto Lucas, Dylan Seychell

CoRR, February, 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

DiffCNN: A Neural Network-based Diffusion Model for Identification and Quantification of Cracks in Concrete Bridges.

Vijay Prakash, Carl James Debono, Dylan Seychell, Muhammad Ali Musarat, Ruben Paul Borg, Wei Ding, Jiangpeng Shu

Proceedings of the IEEE International Conference on Consumer Electronics, 2026

2025

Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI.

Ljubisa Bojic, Dylan Seychell, Milan Cabarkapa

CoRR, January, 2025

Complete-coverage path planning for surface inspection of cable-stayed bridge tower based on building information models and climbing robots.

Zhe Xia, Jiangpeng Shu, Wei Ding, Yifan Gao, Yuanfeng Duan, Carl James Debono, Vijay Prakash, Dylan Seychell, Ruben Paul Borg

Comput. Aided Civ. Infrastructure Eng., 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

A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces.

Matthew Kenely, Dylan Seychell, Carl James Debono, Chris Porter

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation.

Jonathan Attard, Dylan Seychell

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Enhancing Communication for Individuals with Complex Communication Needs (CCN) Through AI and Visual Scene Display Technology.

Rianne Marie Azzopardi, Peter Albert Xuereb, May Agius, Sharon Borg Schembri, Dylan Seychell

Proceedings of the Universal Access in Human-Computer Interaction, 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

Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection.

Matthias Bartolo, Dylan Seychell, Josef Bajada

CoRR, 2024

Runtime Verification and AI: Addressing Pragmatic Regulatory Challenges.

Christian Colombo, Gordon J. Pace, Dylan Seychell

Proceedings of the Bridging the Gap Between AI and Reality, 2024

AI as a Tool for Fair Journalism: Case Studies from Malta.

Dylan Seychell, Gabriel Hili, Jonathan Attard, Konstantinos Makantatis

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

SODA: A Dataset for Small Object Detection in UAV Captured Imagery.

Daniel Pisani, Dylan Seychell, Carl James Debono, Michael Schembri

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Graph-Based Semi-Supervised Learning With Tensor Embeddings for Hyperspectral Data Classification.

Ioannis Georgoulas, Eftychios Protopapadakis, Konstantinos Makantasis, Dylan Seychell, Anastasios Doulamis, Nikolaos Doulamis

IEEE Access, 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

Uncovering Bias in the Face Processing Pipeline: An Analysis of Popular and State-of-the-Art Algorithms Across Demographic Groups.

Christian Galea, Chantelle Saliba, Matthew Sacco, Mark Bugeja, Noel Buttigieg, Dylan Seychell

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022

Facial Expression Recognition in the Wild: Dataset Configurations.

Nathan Galea, Dylan Seychell

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

2021

An XAI Approach to Deep Learning Models in the Detection of Ductal Carcinoma in Situ.

Michele La Ferla, Matthew Montebello, Dylan Seychell

CoRR, 2021

Predicting Relative Depth between Objects from Semantic Features.

Stefan Cassar, Adrian Muscat, Dylan Seychell

CoRR, 2021

COTS: A Multipurpose RGB-D Dataset for Saliency and Image Manipulation Applications.

Dylan Seychell, Carl James Debono, Mark Bugeja, Jeremy Borg, Matthew Sacco

IEEE Access, 2021

Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation.

Neil Micallef, Dylan Seychell, Claude J. Bajada

IEEE Access, 2021

Blending Output from Generative Adversarial Networks to Texture High-Resolution 2D Town Maps for Roleplaying Games.

Gianfranco Siracusa, Dylan Seychell, Mark Bugeja

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2019

A Framework for Queryable Video Analysis: A Case-Study on Transport Modelling.

Mark Bugeja, Alexiei Dingli, Maria Attard, Dylan Seychell

Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability, 2019

Small Object Detection in Highly Variable Backgrounds.

Michael Schembri, Dylan Seychell

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Detecting human abnormal behaviour through a video generated model.

Thomas Gatt, Dylan Seychell, Alexiei Dingli

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Marathon Bib Number Recognition using Deep Learning.

Adrian Apap, Dylan Seychell

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

2018

Ranking Regions of Visual Saliency in RGB-D Content.

Dylan Seychell, Carl J. Debono

Proceedings of the International Conference on 3D Immersion, 2018

Recognition of Handwritten Characters Using Google Fonts and Freeman Chain Codes.

Alexiei Dingli, Mark Bugeja, Dylan Seychell, Simon Mercieca

Proceedings of the Machine Learning and Knowledge Extraction, 2018

2016

Efficient object selection using depth and texture information.

Dylan Seychell, Carl James Debono

Proceedings of the 2016 Visual Communications and Image Processing, 2016

2015

Recognising Familiar Facial Features in Paintings Belonging to Separate Domains.

Wilbert Tabone, Dylan Seychell

Proceedings of the Computer Analysis of Images and Patterns, 2015

2014

Using RFID and Wi-Fi in Healthcare.

Alexiei Dingli, Dylan Seychell

Int. J. E Health Medical Commun., 2014

Gamification of Project Management within a Corporate Environment: An Exploratory Study.

Ryan Sammut, Dylan Seychell, Neville Attard

Proceedings of the 6th International Conference on Games and Virtual Worlds for Serious Applications, 2014

2012

Taking Social Networks to the Next Level.

Alexiei Dingli, Dylan Seychell

Int. J. Distributed Syst. Technol., 2012

A Model for Cultural Attributes.

Dylan Seychell, Alexiei Dingli, Carl James Debono

Proceedings of the Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation, 2012

Transition to 3D Social Networking.

Alexiei Dingli, Dylan Seychell, Jonathan Mifsud, Matthew Montebello, Vanessa Camilleri

Proceedings of the 2012 International Conference on Cyberworlds, 2012

2011

RULIE: Rule Unification for Learning Information Extraction.

Dylan Seychell, Alexiei Dingli

Proceedings of the Workshop on Discovering Meaning On the Go in Large Heterogeneous Data 2011 (LHD-11), 2011