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Javier Lorenzo Díaz
Javier Lorenzo Díaz
다른 이름J Lorenzo, Javier Lorenzo
Research Scientist at NielsenIQ
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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
612017
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
522016
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
422020
Capformer: Pedestrian crossing action prediction using transformer
J Lorenzo, IP Alonso, R Izquierdo, AL Ballardini, ÁH Saz, DF Llorca, ...
Sensors 21 (17), 5694, 2021
292021
Intformer: Predicting pedestrian intention with the aid of the transformer architecture
J Lorenzo, I Parra, MA Sotelo
arXiv preprint arXiv:2105.08647, 2021
182021
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
102021
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
72020
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
62021
Urban intersection classification: a comparative analysis
AL Ballardini, A Hernandez Saz, S Carrasco Limeros, J Lorenzo, ...
Sensors 21 (18), 6269, 2021
52021
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
22022
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