Javier Lorenzo Díaz

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Miguel Angel SoteloProfessor of the Computer Engineering Department. University of AlcaláVerified email at uah.es
David Fernández LlorcaEuropean Commission - Joint Research Centre and University of AlcaláVerified email at uah.es
Ignacio ParraProfesor Titular de Universidad, Universidad de AlcaláVerified email at uah.es
Rubén IzquierdoUAH Assistant ProfessorVerified email at uah.es
Ivan Garcia DazaUniversidad de AlcaláVerified email at uah.es
Augusto Luis BallardiniUniversidad de AlcaláVerified email at uah.es
Raúl Quintero MinguezUniversity of AlcaláVerified email at aut.uah.es
Christoph StillerProfessor of Measurement and Control Systems, Karlsruher Institut für TechnologieVerified email at kit.edu
Florian WirthInstitut für Mess- und Regelungstechnik (MRT) at KITVerified email at kit.edu
Álvaro QuintanarPhD Research Student, INVETT Research Group, Universidad de AlcaláVerified email at uah.es
Noelia HernándezUniversidad de AlcaláVerified email at uah.es
Héctor CorralesPhD Student, Universidad de AlcaláVerified email at uah.es
Sandra Carrasco LimerosUniversidad de AlcaláVerified email at uah.es
Álvaro HernándezResearchVerified email at uah.es

Javier Lorenzo Díaz

Other namesJ Lorenzo, Javier Lorenzo

Research Scientist at NielsenIQ

Verified email at uah.es

prediction machine learning deep learning artificial intelligence


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Pedestrian intention recognition by means of a hidden markov model and body language R Quintero, I Parra, J Lorenzo, D Fernández-Llorca, MA Sotelo 2017 IEEE 20th international conference on intelligent transportation …, 2017	64	2017
Two-camera based accurate vehicle speed measurement using average speed at a fixed point DF Llorca, C Salinas, M Jimenez, I Parra, AG Morcillo, R Izquierdo, ... 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016	55	2016
Rnn-based pedestrian crossing prediction using activity and pose-related features J Lorenzo, I Parra, F Wirth, C Stiller, DF Llorca, MA Sotelo 2020 IEEE Intelligent Vehicles Symposium (IV), 1801-1806, 2020	51	2020
Capformer: Pedestrian crossing action prediction using transformer J Lorenzo, IP Alonso, R Izquierdo, AL Ballardini, ÁH Saz, DF Llorca, ... Sensors 21 (17), 5694, 2021	38	2021
Intformer: Predicting pedestrian intention with the aid of the transformer architecture J Lorenzo, I Parra, MA Sotelo arXiv preprint arXiv:2105.08647, 2021	22	2021
Vehicle lane change prediction on highways using efficient environment representation and deep learning R Izquierdo, Á Quintanar, J Lorenzo, I García-Daza, I Parra, ... IEEE Access 9, 119454-119465, 2021	12	2021
CNNs for fine-grained car model classification H Corrales, DF Llorca, I Parra, S Vigre, A Quintanar, J Lorenzo, ... Computer Aided Systems Theory–EUROCAST 2019: 17th International Conference …, 2020	9	2020
Data-driven vehicle speed detection from synthetic driving simulator images AH Martinez, JL Díaz, IG Daza, DF Llorca 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021	7	2021
Urban intersection classification: a comparative analysis AL Ballardini, A Hernandez Saz, S Carrasco Limeros, J Lorenzo, ... Sensors 21 (18), 6269, 2021	6	2021
Key Information Extraction in Purchase Documents using Deep Learning and Rule-based Corrections R Arroyo, J Yebes, E Martínez, H Corrales, J Lorenzo arXiv preprint arXiv:2210.03453, 2022	2	2022

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