David Ortiz-Perez

35 papers A 1B 4Misc 1Journal 19Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multimodal pain assessment with transformers.
Neurocomputing
Manuel Benavent-Lledó, Maria Dolores Lopez-Valle, David Ortiz-Perez, David Mulero-Pérez, José García Rodríguez, Alexandra Psarrou
2025 J jnl
A Federated Learning Architecture for Bird Species Classification in Wetlands.
J. Sens. Actuator Networks
David Mulero-Pérez, Javier Rodríguez-Juan, Tamai Ramírez-Gordillo, Manuel Benavent-Lledó, Pablo Ruiz-Ponce, David Ortiz-Perez, Hugo G. González-Hernández, Anatoli Iarovikov, José García Rodríguez, Esther Sebastián-González, Olamide Jogunola, Segun I. Popoola, Bamidele Adebisi
2025 J jnl
CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detection.
CoRR
David Ortiz-Perez, Manuel Benavent-Lledó, Javier Rodríguez-Juan, José García Rodríguez, David Tomás
2025 J jnl
CogniAlign: Word-level multimodal speech alignment with gated cross-attention for Alzheimer's detection.
Knowl. Based Syst.
David Ortiz-Perez, Manuel Benavent-Lledó, Javier Rodríguez-Juan, José García Rodríguez, David Tomás
2025 J jnl
Deep insights into cognitive decline: A survey of leveraging non-intrusive modalities with deep learning techniques.
Appl. Soft Comput.
David Ortiz-Perez, Manuel Benavent-Lledó, José García Rodríguez, David Tomás, Maria Flores Vizcaya-Moreno
2025 Misc conf
Effectiveness of bird species identification using Birdnet: Case study at the La Mata coastal lagoon.
IE
Ousman Seye, Esther Sebastián-González, David Ortiz-Perez, Carlos T. Calafate, José M. Cecilia
2025 J jnl
Enhancing action recognition by leveraging the hierarchical structure of actions and textual context.
Comput. Vis. Image Underst.
Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, José García Rodríguez, Antonis A. Argyros
2025 B conf
HierADL: Automatic Hierarchical Structures to Improve Daily Activity Recognition.
IJCNN
Manuel Benavent-Lledó, David Ortiz-Perez, David Mulero-Perez, Pablo Ruiz-Ponce, José García Rodríguez
2025 J jnl
Integrating advanced vision-language models for context recognition in risks assessment.
Neurocomputing
Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás, Grzegorz J. Nalepa
2025 B conf
Obj3Dify: Occlusion-Invariant 3D Reconstruction of Hand-Held Objects.
IJCNN
David Mulero-Pérez, Pablo Ruiz-Ponce, Manuel Benavent-Lledó, David Ortiz-Perez, José García Rodríguez
2025 J jnl
Optimizing IoT Video Data: Dimensionality Reduction for Efficient Deep Learning on Edge Computing.
Future Internet
David Ortiz-Perez, Pablo Ruiz-Ponce, David Mulero-Pérez, Manuel Benavent-Lledó, Javier Rodríguez-Juan, Hugo G. González-Hernández, Anatoli Iarovikov, Srdjan Krco, Daliborka Nedic, Dejan Vukobratovic, José García Rodríguez
2025 J jnl
Text-driven Online Action Detection.
CoRR
Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, José García Rodríguez
2025 J jnl
Text-driven online action detection.
Integr. Comput. Aided Eng.
Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, José García Rodríguez
2025 J jnl
Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos.
CoRR
Javier Rodríguez-Juan, David Ortiz-Perez, Manuel Benavent-Lledó, David Mulero-Pérez, Pablo Ruiz-Ponce, Adrian Orihuela-Torres, José García Rodríguez, Esther Sebastián-González
2024 J jnl
Automated Generation of Clinical Reports Using Sensing Technologies with Deep Learning Techniques.
Sensors
Celia Cabello-Collado, Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás, Maria Flores Vizcaya-Moreno
2024 A conf
Cognitive Insights Across Languages: Enhancing Multimodal Interview Analysis.
INTERSPEECH
David Ortiz-Perez, José García Rodríguez, David Tomás
2024 J jnl
Cognitive Insights Across Languages: Enhancing Multimodal Interview Analysis.
CoRR
David Ortiz-Perez, José García Rodríguez, David Tomás
2024 J jnl
Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques.
CoRR
David Ortiz-Perez, Manuel Benavent-Lledó, José García Rodríguez, David Tomás, Maria Flores Vizcaya-Moreno
2024 — conf
Deep Learning for Enhanced Risk Assessment in Home Environments.
IWINAC (2)
Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás
2024 J jnl
Detecting Facial Image Manipulations with Multi-Layer CNN Models.
CoRR
Alejandro Marco Montejano, Ángela Sánchez-Pérez, Javier Barrachina, David Ortiz-Perez, Manuel Benavent-Lledó, José García Rodríguez
2024 J jnl
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context.
CoRR
Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, José García Rodríguez, Antonis A. Argyros
2024 — conf
Exploring Text-Driven Approaches for Online Action Detection.
IWINAC (2)
Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, José García Rodríguez, Sergio Orts-Escolano
2024 — conf
From Medical Consultation to Diagnosis Generation Using Deep Learning.
SOCO (2)
David Ortiz-Perez, Alejandro Merino-Balaguer, Javier Rodríguez-Juan, José García Rodríguez, David Tomás, Grzegorz J. Nalepa
2024 — conf
Lightweight CNNs for Advanced Bird Species Recognition on the Edge.
IWINAC (2)
Adrian Berenguer-Agulló, Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez
2024 B conf
Multimodal Fusion Strategies for Emotion Recognition.
IJCNN
David Ortiz-Perez, Manuel Benavent-Lledó, David Mulero-Pérez, David Tomás, José García Rodríguez
2024 — conf
PainFusion: Multimodal Pain Assessment from RGB and Sensor Data.
SOCO (1)
Manuel Benavent-Lledó, Maria Dolores Lopez-Valle, David Ortiz-Perez, David Mulero-Perez, José García Rodríguez, Alexandra Psarrou
2024 — conf
Text-Driven Data Augmentation Tool for Synthetic Bird Behavioural Generation.
IWINAC (2)
David Mulero-Pérez, David Ortiz-Perez, Manuel Benavent-Lledó, José García Rodríguez, Jorge Azorín López
2024 B conf
UnrealFall: Overcoming Data Scarcity through Generative Models.
IJCNN
David Mulero-Pérez, Manuel Benavent-Lledó, David Ortiz-Perez, José García Rodríguez
2023 J jnl
A Comprehensive Study on Pain Assessment from Multimodal Sensor Data.
Sensors
Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Perez, Javier Rodríguez-Juan, Adrian Berenguer-Agulló, Alexandra Psarrou, José García Rodríguez
2023 J jnl
A Deep Learning-Based Multimodal Architecture to predict Signs of Dementia.
Neurocomputing
David Ortiz-Perez, Pablo Ruiz-Ponce, David Tomás, José García Rodríguez, Maria Flores Vizcaya-Moreno, Marco Leo
2023 — conf
Deep Learning-Based Emotion Detection in Aphasia Patients.
SOCO (2)
David Ortiz-Perez, Pablo Ruiz-Ponce, Javier Rodríguez-Juan, David Tomás, José García Rodríguez, Grzegorz J. Nalepa
2023 — conf
Indoor Scenes Video Captioning.
SOCO (2)
Javier Rodríguez-Juan, David Ortiz-Perez, José García Rodríguez, David Tomás, Grzegorz J. Nalepa
2023 J jnl
POSEIDON: A Data Augmentation Tool for Small Object Detection Datasets in Maritime Environments.
Sensors
Pablo Ruiz-Ponce, David Ortiz-Perez, José García Rodríguez, Benjamin Kiefer
2022 — conf
Deep Learning-Based Dementia Prediction Using Multimodal Data.
SOCO
David Ortiz-Perez, Pablo Ruiz-Ponce, David Tomás, José García Rodríguez
2022 — conf
Small Vessel Detection in Changing Seaborne Environments Using Anchor-Free Detectors on Aerial Images.
SOCO
Pablo Ruiz-Ponce, David Ortiz-Perez, José García Rodríguez