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Convolutional Neural Networks, Object Detection, Super Resolution

Biography

I acquired a B.Sc. in Computer Science and M.Sc. in Software Engineering and Artificial Intelligence from the University of Málaga in 2019 and 2020, respectively. I also conducted a research stay at De Montfort University in Leicester, UK, focusing on 3D segmentation.

I completed my Ph.D. in 2023 and am an active researcher at the University of Mérida. Concurrently, I continue to be engaged with the Department of Languages and Computer Science at the University of Málaga, where I have been involved since 2020. As an Associate Researcher within the ICAI Research Group, I contribute expertise in object detection using convolutional neural networks, image processing with super-resolution processes, and artificial intelligence algorithms.

Activities

Employment (3)

Universidad de Extremadura: Mérida, ES

2023-07-19 to present | Researcher
Employment
Source: Self-asserted source
Iván García Aguilar

Universidad de Málaga: Malaga, Andalucía, ES

2021-04-01 to present | Investigador (Lenguajes y Ciencia de la Computación)
Employment
Source: Self-asserted source
Iván García Aguilar

Universidad de Málaga: Malaga, Andalucía, ES

2020-11-01 to 2021-04-01 | Becario predoctoral (Lenguajes y Ciencia de la Computación)
Employment
Source: Self-asserted source
Iván García Aguilar

Education and qualifications (3)

Universidad de Málaga: Málaga, ES

2022 to 2024 | Doctorado en Tecnologías Informáticas
Education
Source: Self-asserted source
Iván García Aguilar

Universidad de Málaga: Malaga, Andalucía, ES

2020-10-01 to 2021-07-01 | Máster en Ingeniería del Software e Inteligencia Artificial
Education
Source: Self-asserted source
Iván García Aguilar

Universidad de Málaga: Malaga, Andalucía, ES

2016-10-01 to 2020-09-01 | Ingeniería Informática
Education
Source: Self-asserted source
Iván García Aguilar

Works (12)

Improving Art Style Classification Through Data Augmentation Using Diffusion Models

Electronics
2024-12-21 | Journal article
Contributors: Miguel Ángel Martín Moyano; Iván García-Aguilar; Ezequiel López-Rubio; Rafael M. Luque-Baena
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Real-Time Deep Learning Framework for Accurate Speed Estimation of Surrounding Vehicles in Autonomous Driving

Electronics
2024-07-16 | Journal article
Contributors: Iván García-Aguilar; Jorge García-González; Enrique Domínguez; Ezequiel López-Rubio; Rafael M. Luque-Baena
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Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size

Neurocomputing
2024-01 | Journal article
Contributors: Iván García-Aguilar; Jorge García-González; Daniel Medina; Rafael Marcos Luque-Baena; Enrique Domínguez; Ezequiel López-Rubio
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Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks

2023 | Book chapter
Contributors: Iván García-Aguilar; Lipika Deka; Rafael Marcos Luque-Baena; Enrique Domínguez; Ezequiel López-Rubio
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Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm

Neural Computing and Applications
2023-09 | Journal article
Contributors: Iván García-Aguilar; Jorge García-González; Rafael Marcos Luque-Baena; Ezequiel López-Rubio
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Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation

Sensors
2023-08-15 | Journal article
Contributors: Iván García-Aguilar; Rafael Marcos Luque-Baena; Enrique Domínguez; Ezequiel López-Rubio
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Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks

Pattern Recognition Letters
2023-03 | Journal article
Contributors: Iván García-Aguilar; Jorge García-González; Rafael Marcos Luque-Baena; Ezequiel López-Rubio
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Optimized instance segmentation by super-resolution and maximal clique generation

Integrated Computer-Aided Engineering
2023-02-10 | Journal article
Part of ISSN: 1069-2509
Part of ISSN: 1875-8835
Contributors: Iván García-Aguilar; Jorge García-González; Rafael M. Luque-Baena; Ezequiel López-Rubio; Enrique Domínguez
Source: Self-asserted source
Iván García Aguilar

Enhanced Image Segmentation by a Novel Test Time Augmentation and Super-Resolution

2022 | Book chapter
Contributors: Iván García-Aguilar; Jorge García-González; Rafael Marcos Luque-Baena; Ezequiel López-Rubio; Enrique Domínguez-Merino
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Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks

Lecture Notes in Networks and Systems
2022-10-12 | Book chapter
Part of ISBN: 9783031180491
Part of ISBN: 9783031180507
Part of ISSN: 2367-3370
Part of ISSN: 2367-3389
Contributors: Jorge García-González; Iván García Aguilar; Daniel Medina; Rafael Marcos Luque-Baena; Ezequiel López-Rubio; Enrique Domínguez
Source: Self-asserted source
Iván García Aguilar

Improved detection of small objects in road network sequences using CNN and super resolution

Expert Systems
2022-02 | Journal article
Contributors: Iván García‐Aguilar; Rafael Marcos Luque‐Baena; Ezequiel López‐Rubio
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A Threat Model Analysis of a Mobile Agent-based system on Raspberry Pi

ACM International Conference Proceeding Series
2021 | Conference paper
EID:

2-s2.0-85113265039

Contributors: García Aguilar, I.; Muñoz Gallego, A.
Source: Self-asserted source
Iván García Aguilar via Scopus - Elsevier

Peer review (2 reviews for 1 publication/grant)

Review activity for Neural computing & applications. (2)