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Calimanut Ionut Cira

Associate Professor

Universidad Politécnica de Madrid

Spain

Research Interests

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Professors in Spain Professors in Computer Vision Computer Vision professors in Spain

Articles (22)

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2026

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2025

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2020

Collaborators (12)

FRANCISCO SERRADILLA GARCIA

Universidad Politécnica de Madrid

SPAIN

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Llinet Benavides César

Profesora Ayudante Doctor

Universidad Politécnica de Madrid

SPAIN

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Ramon Alcarria

Full Professor / Catedrático

Universidad Politécnica de Madrid

SPAIN

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Alberto Díaz Álvarez

Profesor Contratado Doctor

Universidad Politécnica de Madrid

SPAIN

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Borja Bordel Sánchez

Universidad Politécnica de Madrid

SPAIN

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Teresa Iturrioz

Universidad Politécnica de Madrid

SPAIN

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Miguel-Ángel Manso-Callejo

Profesor

Universidad Politécnica de Madrid

SPAIN

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Naoto Yokoya

University of Tokyo

JAPAN

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yijian zeng

University of Twente

NETHERLANDS

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JOSE JUAN ARRANZ JUSTEL

Profesor Titular de Universidad

Universidad Politécnica de Madrid

SPAIN

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Zhongbo Su

University of Twente

NETHERLANDS

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Rodrigo Amaro e Silva

Researcher

University of Lisbon

PORTUGAL

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Calimanut Ionut Cira

Research Interests

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Articles (22)

RoadMark-cGAN: Generative Conditional Learning to Directly Map Road Marking Lines from Aerial Orthophotos via Image-to-Image Translation

IMPROVING MOTIVATION OF COMPUTER ENGINEERING STUDENTS THROUGH PROJECT-BASED LEARNING AND INDUSTRY-UNIVERSITY COOPERATION

EVALUATING THE PERFORMANCE OF POPULAR GRAPH SEARCH ALGORITHMS FOR SHORTEST PATH ANALYSIS IN SPATIAL DATABASES

Methodology Based on BERT (Bidirectional Encoder Representations from Transformers) to Improve Solar Irradiance Prediction of Deep Learning Models Trained with Time Series of Spatiotemporal Meteorological Information

Insights into the Effects of Tile Size and Tile Overlap Levels on Semantic Segmentation Models Trained for Road Surface Area Extraction from Aerial Orthophotography

Three Novel Artificial Neural Network Architectures Based on Convolutional Neural Networks for the Spatio-Temporal Processing of Solar Forecasting Data

Impact of Stationarizing Solar Inputs on Very-Short-Term Spatio-Temporal Global Horizontal Irradiance (GHI) Forecasting

Impact of Tile Size and Tile Overlap on the Prediction Performance of Convolutional Neural Networks Trained for Road Classification

BERT (Bidirectional Encoder Representations from Transformers) for Missing Data Imputation in Solar Irradiance Time Series

Non-Destructive Measurements for 3D Modeling and Monitoring of Large Buildings Using Terrestrial Laser Scanning and Unmanned Aerial Systems

State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning

CyL-GHI: Global Horizontal Irradiance Dataset Containing 18 Years of Refined Data at 30-Min Granularity from 37 Stations Located in Castile and León (Spain)

Convolutional Neural Networks Adapted for Regression Tasks: Predicting the Orientation of Straight Arrows on Marked Road Pavement Using Deep Learning and Rectified Orthophotography

Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale

Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results

Wind Influence on the Spatiotemporal Forecast of Global Horizontal Irradiance

Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations

Dataset containing orthoimages tagged with road information covering approximately 8650 km2 of the Spanish territory (SROADEX)

Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates

Generative Learning for Postprocessing Semantic Segmentation Predictions: A Lightweight Conditional Generative Adversarial Network Based on Pix2pix to Improve the Extraction of Road Surface Areas

First dataset of wind turbine data created at national level with deep learning techniques from aerial orthophotographs with a spatial resolution of 0.5 m/pixel

Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures

Collaborators (12)

FRANCISCO SERRADILLA GARCIA

Llinet Benavides César

Ramon Alcarria

Alberto Díaz Álvarez

Borja Bordel Sánchez

Teresa Iturrioz

Miguel-Ángel Manso-Callejo

Naoto Yokoya

yijian zeng

JOSE JUAN ARRANZ JUSTEL

Zhongbo Su

Rodrigo Amaro e Silva

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