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Jorge García-González
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2020 – today
- 2024
- [j11]Mario Alfonso-Arsuaga, Jorge García-González
, Andrea Castiella-Aguirrezabala, Miguel Andrés Alonso, Elena Garces:
DyNeRFactor: Temporally consistent intrinsic scene decomposition for dynamic NeRFs. Comput. Graph. 122: 103984 (2024) - [j10]Iván García Aguilar
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size. Neurocomputing 567: 127057 (2024) - 2023
- [j9]Iván García Aguilar
Optimized instance segmentation by super-resolution and maximal clique generation. Integr. Comput. Aided Eng. 30(3): 243-256 (2023) - [j8]Jose David Fernández Rodriguez
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos. Integr. Comput. Aided Eng. 30(3): 293-309 (2023) - [j7]Iván García Aguilar
Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm. Neural Comput. Appl. 35(26): 18999-19013 (2023) - [j6]Iván García Aguilar
Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks. Pattern Recognit. Lett. 167: 45-52 (2023) - [i1]Francisco Pastor, Jorge García-González, Juan M. Gandarias, Daniel Medina, Pau Closas, Alfonso J. García-Cerezo, Jesús M. Gómez de Gabriel:
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information. CoRR abs/2306.06423 (2023) - 2022
- [c11]Jorge García-González
Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations. ICIP 2022: 1376-1380 - [c10]Iván García Aguilar
Enhanced Image Segmentation by a Novel Test Time Augmentation and Super-Resolution. IWINAC (1) 2022: 153-162 - [c9]José M. Pérez-Bravo, José A. Rodríguez-Rodríguez, Jorge García-González
Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks. IWINAC (1) 2022: 163-172 - [c8]Jose D. Fernández
Anomalous Trajectory Detection for Automated Traffic Video Surveillance. IWINAC (1) 2022: 173-182 - [c7]Jorge García-González
Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks. SOCO 2022: 330-339 - 2021
- [j5]Jorge García-González
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks. Appl. Soft Comput. 113(Part): 107950 (2021) - [j4]Francisco Pastor
Bayesian and Neural Inference on LSTM-Based Object Recognition From Tactile and Kinesthetic Information. IEEE Robotics Autom. Lett. 6(1): 231-238 (2021) - [c6]Jorge García-González
Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences. SOCO 2021: 388-397 - 2020
- [j3]Miguel A. Molina-Cabello
The effect of downsampling-upsampling strategy on foreground detection algorithms. Artif. Intell. Rev. 53(7): 4935-4965 (2020) - [j2]Jorge García-González
Background subtraction by probabilistic modeling of patch features learned by deep autoencoders. Integr. Comput. Aided Eng. 27(3): 253-265 (2020) - [c5]Jorge García-González
Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks. ECAI 2020: 2696-2703 - [c4]Jorge García-González
Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models. ICIP 2020: 3199-3203 - [c3]Miguel A. Molina-Cabello, Jorge García-González
Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation. ICPR 2020: 3106-3113
2010 – 2019
- 2019
- [j1]Jorge García-González
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences. Pattern Recognit. Lett. 125: 481-487 (2019) - [c2]Jorge García-González
Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders. IWINAC (2) 2019: 307-316 - 2018
- [c1]Jorge García-González
Background Modeling for Video Sequences by Stacked Denoising Autoencoders. CAEPIA 2018: 341-350
Coauthor Index
aka: Rafael M. Luque-Baena
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