David Ortiz-Perez

According to our database, David Ortiz-Perez authored at least 23 papers between 2022 and 2025.

Collaborative distances:

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

2025

Text-driven Online Action Detection.

Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, José García Rodríguez

CoRR, January, 2025

Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos.

Javier Rodríguez-Juan, David Ortiz-Perez, Manuel Benavent-Lledó, David Mulero-Pérez, Pablo Ruiz-Ponce, Adrian Orihuela-Torres, José García Rodríguez, Esther Sebastián-González

CoRR, January, 2025

Integrating advanced vision-language models for context recognition in risks assessment.

Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás, Grzegorz J. Nalepa

Neurocomputing, 2025

2024

Automated Generation of Clinical Reports Using Sensing Technologies with Deep Learning Techniques.

Celia Cabello-Collado, Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás, Maria Flores Vizcaya-Moreno

Sensors, May, 2024

Detecting Facial Image Manipulations with Multi-Layer CNN Models.

Alejandro Marco Montejano, Ángela Sánchez-Pérez, Javier Barrachina, David Ortiz-Perez, Manuel Benavent-Lledó, José García Rodríguez

CoRR, 2024

Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context.

Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, José García Rodríguez, Antonis A. Argyros

CoRR, 2024

Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques.

David Ortiz-Perez, Manuel Benavent-Lledó, José García Rodríguez, David Tomás, Maria Flores Vizcaya-Moreno

CoRR, 2024

Cognitive Insights Across Languages: Enhancing Multimodal Interview Analysis.

David Ortiz-Perez, José García Rodríguez, David Tomás

CoRR, 2024

From Medical Consultation to Diagnosis Generation Using Deep Learning.

David Ortiz-Perez, Alejandro Merino-Balaguer, Javier Rodríguez-Juan, José García Rodríguez, David Tomás, Grzegorz J. Nalepa

Proceedings of the 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024, 2024

PainFusion: Multimodal Pain Assessment from RGB and Sensor Data.

Manuel Benavent-Lledó, Maria Dolores Lopez-Valle, David Ortiz-Perez, David Mulero-Perez, José García Rodríguez, Alexandra Psarrou

Proceedings of the 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024, 2024

Deep Learning for Enhanced Risk Assessment in Home Environments.

Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Text-Driven Data Augmentation Tool for Synthetic Bird Behavioural Generation.

David Mulero-Pérez, David Ortiz-Perez, Manuel Benavent-Lledó, José García Rodríguez, Jorge Azorín López

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Lightweight CNNs for Advanced Bird Species Recognition on the Edge.

Adrian Berenguer-Agulló, Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Exploring Text-Driven Approaches for Online Action Detection.

Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, José García Rodríguez, Sergio Orts-Escolano

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Multimodal Fusion Strategies for Emotion Recognition.

David Ortiz-Perez, Manuel Benavent-Lledó, David Mulero-Pérez, David Tomás, José García Rodríguez

Proceedings of the International Joint Conference on Neural Networks, 2024

UnrealFall: Overcoming Data Scarcity through Generative Models.

David Mulero-Pérez, Manuel Benavent-Lledó, David Ortiz-Perez, José García Rodríguez

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

A Comprehensive Study on Pain Assessment from Multimodal Sensor Data.

Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, Javier Rodríguez-Juan, Adrian Berenguer-Agulló, Alexandra Psarrou, José García Rodríguez

Sensors, December, 2023

POSEIDON: A Data Augmentation Tool for Small Object Detection Datasets in Maritime Environments.

Pablo Ruiz-Ponce, David Ortiz-Perez, José García Rodríguez, Benjamin Kiefer

Sensors, April, 2023

A Deep Learning-Based Multimodal Architecture to predict Signs of Dementia.

David Ortiz-Perez, Pablo Ruiz-Ponce, David Tomás, José García Rodríguez, Maria Flores Vizcaya-Moreno, Marco Leo

Neurocomputing, 2023

Indoor Scenes Video Captioning.

Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás, Grzegorz J. Nalepa

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Deep Learning-Based Emotion Detection in Aphasia Patients.

David Ortiz-Perez, Pablo Ruiz-Ponce, Javier Rodríguez-Juan, David Tomás, José García Rodríguez, Grzegorz J. Nalepa

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

2022

Small Vessel Detection in Changing Seaborne Environments Using Anchor-Free Detectors on Aerial Images.

Pablo Ruiz-Ponce, David Ortiz-Perez, José García Rodríguez

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Deep Learning-Based Dementia Prediction Using Multimodal Data.

David Ortiz-Perez, Pablo Ruiz-Ponce, David Tomás, José García Rodríguez

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022