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ORCIDMiguel Cazorla
Miguel Ángel Cazorla Quevedo
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2020 – today
- 2024
[j69]Bessie Dominguez-Dager
, Francisco Gomez-Donoso, Rosabel Roig-Vila, Félix Escalona, Miguel Cazorla:
Holograms for seamless integration of remote students in the classroom. Virtual Real. 28(1): 24 (2024)- [c74]Luis-Jesus Marhuenda, Francisco Gomez-Donoso, Miguel Cazorla:
HARTO: Human Activity Recognition Through Optical Flow Architecture. IJCNN 2024: 1-7 - 2023
- [j68]Christian Mejía Escobar, Miguel Cazorla, Ester Martínez-Martín:
Improving Facial Expression Recognition Through Data Preparation and Merging. IEEE Access 11: 71339-71360 (2023) - [j67]Manuel Torres, Rafael Álvarez, Miguel Cazorla:
A Malware Detection Approach Based on Feature Engineering and Behavior Analysis. IEEE Access 11: 105355-105367 (2023) - [j66]Enrique Álvarez, Rafael Álvarez, Miguel Cazorla:
Exploring Transferability on Adversarial Attacks. IEEE Access 11: 105545-105556 (2023) - [j65]Francisco Gomez-Donoso, Julio Castaño-Amoros, Félix Escalona, Miguel Cazorla:
Three-dimensional reconstruction using SFM for actual pedestrian classification. Expert Syst. Appl. 213(Part): 119006 (2023) - [j64]Francisco José Romero-Ramírez, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Miguel Cazorla, Rafael Medina Carnicer:
sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints. Sensors 23(4): 2210 (2023) - [c73]Félix Escalona, Francisco Gomez-Donoso, Francisco Morillas-Espejo, Monica Pina-Navarro, Luis Marquez-Carpintero, Miguel Cazorla:
AATiENDe: Automatic ATtention Evaluation on a Non-invasive Device. IWANN (2) 2023: 157-168 - [d4]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Marisa Caparrós-Redondo, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part I. IEEE DataPort, 2023
- [d3]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Marisa Caparrós-Redondo, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part II. IEEE DataPort, 2023 - 2022
- [j63]Francisco Gomez-Donoso, Félix Escalona, Sergio Orts-Escolano, Alberto Garcia-Garcia, José García Rodríguez, Miguel Cazorla:
3DSliceLeNet: Recognizing 3D Objects Using a Slice-Representation. IEEE Access 10: 15378-15392 (2022) - [c72]Francisco Gomez-Donoso, Félix Escalona, Miguel Cazorla:
VFKD: Voxelized Fractal Keypoint Detector. IJCNN 2022: 1-8 - [c71]Borja Perez-Lopez, Francisco Gomez-Donoso, Miguel Cazorla:
SAFaD: A System for Automatic Fall Detection on Surveillance Imagery. ROBOT (2) 2022: 564-575 - [c70]Manuel Torres, Rafael Álvarez, Miguel Cazorla:
Improving Malware Detection with a Novel Dataset Based on API Calls. SOCO 2022: 289-298 - 2021
- [j62]Francisco Gomez-Donoso, Félix Escalona, Ferran Pérez-Esteve, Miguel Cazorla:
Accurate Multilevel Classification for Wildlife Images. Comput. Intell. Neurosci. 2021: 6690590:1-6690590:11 (2021) - [c69]Zuria Bauer, Zuoyue Li, Sergio Orts-Escolano, Miguel Cazorla, Marc Pollefeys, Martin R. Oswald:
NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis. 3DV 2021: 848-858 - [c68]Enrique Álvarez, Rafael Álvarez, Miguel Cazorla:
Studying the Transferability of Non-Targeted Adversarial Attacks. IJCNN 2021: 1-6 - [c67]Christian Mejía Escobar, Miguel Cazorla, Ester Martínez-Martín:
Webpage Categorization Using Deep Learning. SOCO 2021: 358-368 - [d2]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós-Redondo, Germán González, José María Salinas:
BIMCV COVID-19-: a large annotated dataset of RX and CT images from COVID-19 patients. IEEE DataPort, 2021 - [d1]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós-Redondo, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. IEEE DataPort, 2021 - [i7]Christian Mejía Escobar, Miguel Cazorla, Ester Martínez-Martín:
A Large Visual, Qualitative and Quantitative Dataset of Web Pages. CoRR abs/2105.07113 (2021) - [i6]Zuria Bauer, Zuoyue Li, Sergio Orts-Escolano, Miguel Cazorla, Marc Pollefeys, Martin R. Oswald:
NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis. CoRR abs/2112.12577 (2021) - 2020
- [j61]Jose Francisco Domenech, Félix Escalona, Francisco Gomez-Donoso, Miguel Cazorla:
A Voxelized Fractal Descriptor for 3D Object Recognition. IEEE Access 8: 161958-161968 (2020) - [j60]Edmanuel Cruz, José Carlos Rangel, Francisco Gomez-Donoso, Miguel Cazorla:
How to add new knowledge to already trained deep learning models applied to semantic localization. Appl. Intell. 50(1): 14-28 (2020) - [j59]Francisco Martín Rico, Francisco Gomez-Donoso, Félix Escalona, José García Rodríguez, Miguel Cazorla:
Semantic visual recognition in a cognitive architecture for social robots. Integr. Comput. Aided Eng. 27(3): 301-316 (2020) - [j58]Zuria Bauer, Alejandro Dominguez, Edmanuel Cruz, Francisco Gomez-Donoso, Sergio Orts-Escolano, Miguel Cazorla:
Enhancing perception for the visually impaired with deep learning techniques and low-cost wearable sensors. Pattern Recognit. Lett. 137: 27-36 (2020) - [j57]José García Rodríguez, Francisco Gomez-Donoso, Sergiu Oprea, Alberto Garcia-Garcia, Miguel Cazorla, Sergio Orts-Escolano, Zuria Bauer, John Alejandro Castro-Vargas, Félix Escalona, David Ivorra-Piqueres, Pablo Martinez-Gonzalez, Eugenio Aguirre, Miguel García-Silvente, Marcelo García-Pérez, José María Cañas, Francisco Martín Rico, Jonatan Gines, Francisco Rivas-Montero:
COMBAHO: A deep learning system for integrating brain injury patients in society. Pattern Recognit. Lett. 137: 80-90 (2020) - [j56]Nadia Nasri, Sergio Orts-Escolano, Miguel Cazorla:
An sEMG-Controlled 3D Game for Rehabilitation Therapies: Real-Time Time Hand Gesture Recognition Using Deep Learning Techniques. Sensors 20(22): 6451 (2020) - [j55]Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
Biomarker Localization From Deep Learning Regression Networks. IEEE Trans. Medical Imaging 39(6): 2121-2132 (2020) - [j54]Félix Escalona, Ester Martínez-Martín, Edmanuel Cruz, Miguel Cazorla, Francisco Gomez-Donoso:
EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors. Virtual Real. 24(4): 567-581 (2020) - [c66]Félix Escalona, Diego Viejo, Robert B. Fisher, Miguel Cazorla:
NurbsNet: A Nurbs approach for 3d object recognition. IJCNN 2020: 1-7 - [c65]Francisco Gomez-Donoso, Edmanuel Cruz, Miguel Cazorla, Stewart Worrall, Eduardo M. Nebot:
Using a 3D CNN for Rejecting False Positives on Pedestrian Detection. IJCNN 2020: 1-6 - [c64]Wei Zhou, Edmanuel Cruz, Stewart Worrall, Francisco Gomez-Donoso, Miguel Cazorla, Eduardo M. Nebot:
Weakly-supervised Road Condition Classification Using Automatically Generated Labels. ITSC 2020: 1-7 - [c63]Francisco Gomez-Donoso, Félix Escalona, Alejandro Bañuls, Daniel Abellán, Miguel Cazorla:
Monocular 3D Hand Pose Estimation for Teleoperating Low-Cost Actuators. WAF 2020: 345-359 - [i5]Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand Tarzjan, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile Moreno, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, María J. Ledesma-Carbayo:
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). CoRR abs/2003.13440 (2020) - [i4]María de la Iglesia-Vayá, José Manuel Saborit, Joaquim Angel Montell-Serrano, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós-Redondo, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. CoRR abs/2006.01174 (2020) - [i3]Germán González, Aurelia Bustos, José María Salinas, María de la Iglesia-Vayá, Joaquin Galant, Carlos Cano-Espinosa, Xavier Barber, Domingo Orozco-Beltrán, Miguel Cazorla, Antonio Pertusa:
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays. CoRR abs/2006.05274 (2020)
2010 – 2019
- 2019
- [j53]Ester Martínez-Martín, Miguel Cazorla:
A Socially Assistive Robot for Elderly Exercise Promotion. IEEE Access 7: 75515-75529 (2019) - [j52]Zuria Bauer, Félix Escalona, Edmanuel Cruz, Miguel Cazorla, Francisco Gomez-Donoso:
Refining the Fusion of Pepper Robot and Estimated Depth Maps Method for Improved 3D Perception. IEEE Access 7: 185076-185085 (2019) - [j51]José Carlos Rangel, Miguel Cazorla, Ismael García-Varea, Cristina Romero-González, Jesus Martínez-Gómez:
Automatic semantic maps generation from lexical annotations. Auton. Robots 43(3): 697-712 (2019) - [j50]Ester Martínez-Martín, Miguel Cazorla:
Rehabilitation Technology: Assistance from Hospital to Home. Comput. Intell. Neurosci. 2019: 1431509:1-1431509:8 (2019) - [j49]Francisco Gomez-Donoso, Félix Escalona, Francisco Miguel Rivas, José María Cañas, Miguel Cazorla:
Enhancing the Ambient Assisted Living Capabilities with a Mobile Robot. Comput. Intell. Neurosci. 2019: 9412384:1-9412384:15 (2019) - [j48]Francisco Gomez-Donoso, Sergio Orts-Escolano, Miguel Cazorla:
Accurate and efficient 3D hand pose regression for robot hand teleoperation using a monocular RGB camera. Expert Syst. Appl. 136: 327-337 (2019) - [j47]Francisco Gomez-Donoso, Sergio Orts-Escolano, Miguel Cazorla:
Large-scale multiview 3D hand pose dataset. Image Vis. Comput. 81: 25-33 (2019) - [j46]Nadia Nasri, Sergio Orts-Escolano, Francisco Gomez-Donoso, Miguel Cazorla:
Inferring Static Hand Poses from a Low-Cost Non-Intrusive sEMG Sensor. Sensors 19(2): 371 (2019) - [j45]Ester Martínez-Martín, Ângelo Costa, Miguel Cazorla:
PHAROS 2.0 - A PHysical Assistant RObot System Improved. Sensors 19(20): 4531 (2019) - [j44]Edmanuel Cruz, Sergio Orts-Escolano, Francisco Gomez-Donoso, Carlos Rizo, José Carlos Rangel, Higinio Mora Mora, Miguel Cazorla:
An augmented reality application for improving shopping experience in large retail stores. Virtual Real. 23(3): 281-291 (2019) - [c62]Javier Navarrete, Francisco Gomez-Donoso, Diego Viejo, Miguel Cazorla:
Multilevel Classification using a Taxonomy Applied to Recognizing Diptera Images. IJCNN 2019: 1-8 - [c61]Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker Discovery. ISBI 2019: 679-682 - [c60]Nadia Nasri, Francisco Gomez-Donoso, Sergio Orts-Escolano, Miguel Cazorla:
Using Inferred Gestures from sEMG Signal to Teleoperate a Domestic Robot for the Disabled. IWANN (2) 2019: 198-207 - [c59]Francisco Martín Rico, Francisco Gomez-Donoso, Félix Escalona, Miguel Cazorla, José García Rodríguez:
Artificial Semantic Memory with Autonomous Learning Applied to Social Robots. IWINAC (2) 2019: 401-411 - [c58]Jose Miguel Torres-Camara, Félix Escalona, Francisco Gomez-Donoso, Miguel Cazorla:
Map Slammer: Densifying Scattered KSLAM 3D Maps with Estimated Depth. ROBOT (2) 2019: 563-574 - [c57]David Azuar, Guillermo Gallud Baños, Félix Escalona, Francisco Gomez-Donoso, Miguel Cazorla:
A Story-Telling Social Robot with Emotion Recognition Capabilities for the Intellectually Challenged. ROBOT (2) 2019: 599-609 - 2018
- [j43]José Carlos Rangel, Jesus Martínez-Gómez, Cristina Romero-González, Ismael García-Varea, Miguel Cazorla:
Semi-supervised 3D object recognition through CNN labeling. Appl. Soft Comput. 65: 603-613 (2018) - [j42]Edmanuel Cruz, Félix Escalona, Zuria Bauer, Miguel Cazorla, José García Rodríguez, Ester Martínez-Martín, José Carlos Rangel, Francisco Gomez-Donoso:
Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged. Comput. Intell. Neurosci. 2018: 4350272:1-4350272:17 (2018) - [j41]Alberto Garcia-Garcia, Sergio Orts-Escolano, José García Rodríguez, Miguel Cazorla:
Interactive 3D object recognition pipeline on mobile GPGPU computing platforms using low-cost RGB-D sensors. J. Real Time Image Process. 14(3): 585-604 (2018) - [j40]Sergio Orts-Escolano, José García Rodríguez, Miguel Cazorla, Vicente Morell, Jorge Azorín López, Marcelo Saval-Calvo, Alberto Garcia-Garcia, Victor Villena-Martinez:
Bioinspired point cloud representation: 3D object tracking. Neural Comput. Appl. 29(9): 663-672 (2018) - [j39]Javier Navarrete, Diego Viejo, Miguel Cazorla:
Compression and registration of 3D point clouds using GMMs. Pattern Recognit. Lett. 110: 8-15 (2018) - [j38]Ângelo Costa, Ester Martínez-Martín, Miguel Cazorla, Vicente Julián:
PHAROS - PHysical Assistant RObot System. Sensors 18(8): 2633 (2018) - [c56]Edmanuel Cruz, José Carlos Rangel, Francisco Gomez-Donoso, Zuria Bauer, Miguel Cazorla, José García Rodríguez:
Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot. IJCNN 2018: 1-8 - [c55]Alex Dominguez-Sanchez, Sergio Orts-Escolano, José García Rodríguez, Miguel Cazorla:
A New Dataset and Performance Evaluation of a Region-based CNN for Urban Object Detection. IJCNN 2018: 1-8 - [c54]Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
On the Relevance of the Loss Function in the Agatston Score Regression from Non-ECG Gated CT Scans. RAMBO+BIA+TIA@MICCAI 2018: 326-334 - [c53]Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
Automated Agatston score computation in non-ECG gated CT scans using deep learning. Image Processing 2018: 105742K - [c52]Edmanuel Cruz, Zuria Bauer, José Carlos Rangel, Miguel Cazorla, Francisco Gomez-Donoso:
Semantic Localization of a Robot in a Real Home. WAF 2018: 3-15 - [c51]Zuria Bauer, Félix Escalona, Edmanuel Cruz, Miguel Cazorla, Francisco Gomez-Donoso:
Improving the 3D Perception of the Pepper Robot Using Depth Prediction from Monocular Frames. WAF 2018: 132-146 - 2017
- [j37]José Carlos Rangel, Jesus Martínez-Gómez, Ismael García-Varea, Miguel Cazorla:
LexToMap: lexical-based topological mapping. Adv. Robotics 31(5): 268-281 (2017) - [j36]Alberto Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Sergiu Oprea, Francisco Gomez-Donoso, Miguel Cazorla:
A study of the effect of noise and occlusion on the accuracy of convolutional neural networks applied to 3D object recognition. Comput. Vis. Image Underst. 164: 124-134 (2017) - [j35]Mauricio Zamora, Eldon Caldwell, José García Rodríguez, Jorge Azorín López, Miguel Cazorla:
Automatic Learning Improves Human-Robot Interaction in Productive Environments: A Review. Int. J. Comput. Vis. Image Process. 7(3): 65-75 (2017) - [j34]José García Rodríguez, Isabelle Guyon, Sergio Escalera, Alexandra Psarrou, Andrew Lewis, Miguel Cazorla:
Editorial: special issue on computational intelligence for vision and robotics. Neural Comput. Appl. 28(5): 853-854 (2017) - [j33]Alberto Garcia-Garcia, Sergio Orts-Escolano, Sergiu Oprea, José García Rodríguez, Jorge Azorín López, Marcelo Saval-Calvo, Miguel Cazorla:
Multi-sensor 3D object dataset for object recognition with full pose estimation. Neural Comput. Appl. 28(5): 941-952 (2017) - [j32]José Carlos Rangel, Vicente Morell, Miguel Cazorla, Sergio Orts-Escolano, José García Rodríguez:
Object recognition in noisy RGB-D data using GNG. Pattern Anal. Appl. 20(4): 1061-1076 (2017) - [j31]Francisco Gomez-Donoso, Sergio Orts-Escolano, Alberto Garcia-Garcia, José García Rodríguez, John Alejandro Castro-Vargas, Sergiu Ovidiu-Oprea, Miguel Cazorla:
A robotic platform for customized and interactive rehabilitation of persons with disabilities. Pattern Recognit. Lett. 99: 105-113 (2017) - [j30]Alex Dominguez-Sanchez, Miguel Cazorla, Sergio Orts-Escolano:
Pedestrian Movement Direction Recognition Using Convolutional Neural Networks. IEEE Trans. Intell. Transp. Syst. 18(12): 3540-3548 (2017) - [c50]Francisco Gomez-Donoso, Alberto Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla:
LonchaNet: A sliced-based CNN architecture for real-time 3D object recognition. IJCNN 2017: 412-418 - [c49]Sergiu Oprea, Alberto Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla:
A recurrent neural network based Schaeffer gesture recognition system. IJCNN 2017: 425-431 - [c48]Alex Dominguez-Sanchez, Sergio Orts-Escolano, Miguel Cazorla:
Recognizing Pedestrian Direction Using Convolutional Neural Networks. IWANN (2) 2017: 235-245 - [c47]Mauricio Zamora, Eldon Caldwell, José García Rodríguez, Jorge Azorín López, Miguel Cazorla:
Machine Learning Improves Human-Robot Interaction in Productive Environments: A Review. IWANN (2) 2017: 283-293 - [c46]Edmanuel Cruz, José Carlos Rangel, Miguel Cazorla:
Robot Semantic Localization Through CNN Descriptors. ROBOT (1) 2017: 567-578 - [c45]Félix Escalona, Francisco Gomez-Donoso, Miguel Cazorla:
3D Object Mapping Using a Labelling System. ROBOT (1) 2017: 579-590 - [c44]Francisco Gomez-Donoso, Sergio Orts-Escolano, Miguel Cazorla:
Robust Hand Pose Regression Using Convolutional Neural Networks. ROBOT (1) 2017: 591-602 - [i2]Francisco Gomez-Donoso, Sergio Orts-Escolano, Miguel Cazorla:
Large-scale Multiview 3D Hand Pose Dataset. CoRR abs/1707.03742 (2017) - 2016
- [j29]José Carlos Rangel, Miguel Cazorla, Ismael García-Varea, Jesus Martínez-Gómez, Élisa Fromont, Marc Sebban:
Scene classification based on semantic labeling. Adv. Robotics 30(11-12): 758-769 (2016) - [j28]Javier Navarrete, Diego Viejo, Miguel Cazorla:
Color smoothing for RGB-D data using entropy information. Appl. Soft Comput. 46: 361-380 (2016) - [j27]Francisco Gomez-Donoso, Miguel Cazorla, Alberto Garcia-Garcia, José García Rodríguez:
Automatic Schaeffer's gestures recognition system. Expert Syst. J. Knowl. Eng. 33(5): 480-488 (2016) - [j26]José García Rodríguez, Alexandra Psarrou, Andrew Lewis, Anastassia Angelopoulou, Miguel Cazorla:
Editorial: Neural Processing Letters Special Issue on "Neural Networks for Vision and Robotics". Neural Process. Lett. 43(2): 309-310 (2016) - [j25]Sergio Orts-Escolano, José García Rodríguez, Vicente Morell, Miguel Cazorla, Jose Antonio Serra-Perez, Alberto Garcia-Garcia:
3D Surface Reconstruction of Noisy Point Clouds Using Growing Neural Gas: 3D Object/Scene Reconstruction. Neural Process. Lett. 43(2): 401-423 (2016) - [j24]Javier Navarrete, Vicente Morell, Miguel Cazorla, Diego Viejo, José García Rodríguez, Sergio Orts-Escolano:
3DCOMET: 3D compression methods test dataset. Robotics Auton. Syst. 75: 550-557 (2016) - [j23]Jesus Martínez-Gómez, Vicente Morell, Miguel Cazorla, Ismael García-Varea:
Semantic localization in the PCL library. Robotics Auton. Syst. 75: 641-648 (2016) - [c43]Alberto Garcia-Garcia, Francisco Gomez-Donoso, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla, Jorge Azorín López:
PointNet: A 3D Convolutional Neural Network for real-time object class recognition. IJCNN 2016: 1578-1584 - [c42]Jorge Azorín López, Marcelo Saval-Calvo, Andrés Fuster Guilló, José García Rodríguez, Miguel Cazorla, María Teresa Signes Pont:
Group activity description and recognition based on trajectory analysis and neural networks. IJCNN 2016: 1585-1592 - [i1]Jesus Martínez-Gómez, Vicente Morell, Miguel Cazorla, Ismael García-Varea:
Semantic Localization in the PCL library. CoRR abs/1601.08158 (2016) - 2015
- [j22]Sergio Orts-Escolano, José García Rodríguez, Jose Antonio Serra-Perez, Antonio Jimeno-Morenilla, Alberto Garcia-Garcia, Vicente Morell, Miguel Cazorla:
3D model reconstruction using neural gas accelerated on GPU. Appl. Soft Comput. 32: 87-100 (2015) - [j21]Miguel Cazorla, Diego Viejo:
JavaVis: An integrated computer vision library for teaching computer vision. Comput. Appl. Eng. Educ. 23(2): 258-267 (2015) - [j20]Jesus Martínez-Gómez, Ismael García-Varea, Miguel Cazorla, Vicente Morell:
ViDRILO: The Visual and Depth Robot Indoor Localization with Objects information dataset. Int. J. Robotics Res. 34(14): 1681-1687 (2015) - [j19]Sergio Orts-Escolano, Vicente Morell, José García Rodríguez, Miguel Cazorla, Robert B. Fisher:
Real-time 3D semi-local surface patch extraction using GPGPU - Application to 3D object recognition. J. Real Time Image Process. 10(4): 647-666 (2015) - [j18]David Gil Méndez, José García Rodríguez, Miguel Cazorla, Magnus Johnsson:
SARASOM: a supervised architecture based on the recurrent associative SOM. Neural Comput. Appl. 26(5): 1103-1115 (2015) - [j17]Jesus Martínez-Gómez, Barbara Caputo, Miguel Cazorla, Henrik Iskov Christensen, Marco Fornoni, Ismael García-Varea, Andrzej Pronobis:
Where Are We After Five Editions?: Robot Vision Challenge, a Competition that Evaluates Solutions for the Visual Place Classification Problem. IEEE Robotics Autom. Mag. 22(4): 147-156 (2015) - [c41]Sergio Orts-Escolano, José García Rodríguez, Vicente Morell, Miguel Cazorla, Marcelo Saval-Calvo, Jorge Azorín López:
Processing point cloud sequences with Growing Neural Gas. IJCNN 2015: 1-8 - [c40]José Carlos Rangel, Vicente Morell, Miguel Cazorla, Sergio Orts-Escolano, José García Rodríguez:
Using GNG on 3D Object Recognition in Noisy RGB-D data. IJCNN 2015: 1-7 - [c39]Marcelo Saval-Calvo, Sergio Orts-Escolano, Jorge Azorín López, José García Rodríguez, Andrés Fuster Guilló, Vicente Morell-Giménez, Miguel Cazorla:
Non-rigid point set registration using color and data downsampling. IJCNN 2015: 1-8 - [c38]Sergio Orts-Escolano, José García Rodríguez, Vicente Morell, Miguel Cazorla, Alberto Garcia-Garcia, Sergiu Ovidiu-Oprea:
Optimized Representation of 3D Sequences Using Neural Networks. IWINAC (2) 2015: 251-260 - [c37]José Carlos Rangel, Vicente Morell, Miguel Cazorla, Sergio Orts-Escolano, José García Rodríguez:
Object Recognition in Noisy RGB-D Data. IWINAC (2) 2015: 261-270 - [c36]Marcelo Saval-Calvo, Sergio Orts-Escolano, Jorge Azorín López, José García Rodríguez, Andrés Fuster Guilló, Vicente Morell-Giménez, Miguel Cazorla:
A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color. IWINAC (2) 2015: 281-290 - [c35]María de la Iglesia-Vayá, José María Salinas, Gonzalo M. Rojas, Juan-Carlos Perez-Cortes, Rafael Llobet, Miguel Cazorla, Jacobo Martínez, Luis Martí-Bonmatí, Ignacio Blanquer, Manuel Regaña, José Miguel Puig:
BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR. MIE 2015: 987-989 - [c34]Jesus Martínez-Gómez, Miguel Cazorla, Ismael García-Varea, Cristina Romero-González:
Object Categorization from RGB-D Local Features and Bag of Words. ROBOT (2) 2015: 635-644 - [c33]José Carlos Rangel, Miguel Cazorla, Ismael García-Varea, Jesus Martínez-Gómez, Élisa Fromont, Marc Sebban:
Computing Image Descriptors from Annotations Acquired from External Tools. ROBOT (2) 2015: 673-683 - 2014
- [j16]Miguel Cazorla, Pablo Gil, Santiago T. Puente, Jose Muñoz, Daniel Pastor:
An improvement of a SLAM RGB-D method with movement prediction derived from a study of visual features. Adv. Robotics 28(18): 1231-1242 (2014) - [j15]Diego Viejo, Miguel Cazorla:
A robust and fast method for 6DoF motion estimation from generalized 3D data. Auton. Robots 36(4): 295-308 (2014) - [j14]Diego Viejo, José García Rodríguez, Miguel Cazorla:
Combining visual features and Growing Neural Gas networks for robotic 3D SLAM. Inf. Sci. 276: 174-185 (2014) - [j13]Sergio Orts-Escolano, José García Rodríguez, Vicente Morell, Miguel Cazorla, Jorge Azorín López, Juan Manuel García Chamizo:
Parallel Computational Intelligence-Based Multi-Camera Surveillance System. J. Sens. Actuator Networks 3(2): 95-112 (2014) - [j12]Vicente Morell, Sergio Orts, Miguel Cazorla, José García Rodríguez:
Geometric 3D point cloud compression. Pattern Recognit. Lett. 50: 55-62 (2014) - [j11]Vicente Morell-Giménez, Marcelo Saval-Calvo, Jorge Azorín López, José García Rodríguez, Miguel Cazorla, Sergio Orts-Escolano, Andrés Fuster Guilló:
A Comparative Study of Registration Methods for RGB-D Video of Static Scenes. Sensors 14(5): 8547-8576 (2014) - [c32]Barbara Caputo, Henning Müller, Jesus Martínez-Gómez, Mauricio Villegas, Burak Acar, Novi Patricia, Neda Barzegar Marvasti, Suzan Üsküdarli, Roberto Paredes, Miguel Cazorla, Ismael García-Varea, Vicente Morell:
ImageCLEF 2014: Overview and Analysis of the Results. CLEF 2014: 192-211 - [c31]Jesus Martínez-Gómez, Ismael García-Varea, Miguel Cazorla, Vicente Morell:
Overview of the ImageCLEF 2014 Robot Vision Task. CLEF (Working Notes) 2014: 296-307 - [c30]Sergio Orts-Escolano, José García Rodríguez, Vicente Morell, Miguel Cazorla, Juan Manuel García Chamizo:
3D colour object reconstruction based on Growing Neural Gas. IJCNN 2014: 1474-1481 - [c29]Vicente Morell, Miguel Cazorla, Sergio Orts-Escolano, José García Rodríguez:
3D maps representation using GNG. IJCNN 2014: 1482-1487 - 2013
- [c28]Barbara Caputo, Henning Müller, Bart Thomee, Mauricio Villegas, Roberto Paredes, David Zellhöfer, Hervé Goëau, Alexis Joly, Pierre Bonnet, Jesus Martínez-Gómez, Ismael García-Varea, Miguel Cazorla:
ImageCLEF 2013: The Vision, the Data and the Open Challenges. CLEF 2013: 250-268 - [c27]Jesus Martínez-Gómez, Ismael García-Varea, Miguel Cazorla, Barbara Caputo:
Overview of the ImageCLEF 2013 Robot Vision Task. CLEF (Working Notes) 2013 - [c26]Sergio Orts-Escolano, Vicente Morell, José García Rodríguez, Miguel Cazorla:
Point cloud data filtering and downsampling using growing neural gas. IJCNN 2013: 1-8 - [c25]José García Rodríguez, Miguel Cazorla, Sergio Orts-Escolano, Vicente Morell:
Improving 3D Keypoint Detection from Noisy Data Using Growing Neural Gas. IWANN (2) 2013: 480-487 - [c24]Anna Romero, Miguel Cazorla:
Learning Multi-class Topological Mapping using Visual Information. VISAPP (2) 2013: 316-321 - 2012
- [j10]Boyan Bonev, Miguel Cazorla, Francisco Martín, Vicente Matellán:
Portable autonomous walk calibration for 4-legged robots. Appl. Intell. 36(1): 136-147 (2012) - [j9]Diego Viejo, José García Rodríguez, Miguel Cazorla:
A study of a soft computing based method for 3D scenario reconstruction. Appl. Soft Comput. 12(10): 3158-3164 (2012) - [j8]Anna Romero, Miguel Cazorla:
Topological visual mapping in robotics. Cogn. Process. 13(Supplement-1): 305-308 (2012) - [j7]Sergio Orts, José García Rodríguez, Diego Viejo, Miguel Cazorla, Vicente Morell:
GPGPU implementation of growing neural gas: Application to 3D scene reconstruction. J. Parallel Distributed Comput. 72(10): 1361-1372 (2012) - [j6]Diego Viejo, José García Rodríguez, Miguel Cazorla, David Gil Méndez, Magnus Johnsson:
Using GNG to improve 3D feature extraction - Application to 6DoF egomotion. Neural Networks 32: 138-146 (2012) - [c23]Vicente Morell, Miguel Cazorla, Diego Viejo, Sergio Orts, José García Rodríguez:
A study of registration techniques for 6DoF SLAM. CCIA 2012: 111-120 - [c22]Jose Muñoz, Daniel Pastor, Pablo Gil, Santiago T. Puente, Miguel Cazorla:
Using a RGB-D camera for 6DoF SLAM. CCIA 2012: 143-150 - [c21]Anna Romero, Miguel Cazorla:
Learning Topological SLAM using Visual Information. CCIA 2012: 151-159 - [c20]José María Salinas, María de la Iglesia-Vayá, Luis Martí-Bonmatí, Rosa Valenzuela, Miguel Cazorla:
R & D Cloud CEIB: Management System and Knowledge Extraction for Bioimaging in the Cloud. DCAI 2012: 331-338 - [e1]David Riaño, Eva Onaindia, Miguel Cazorla:
Artificial Intelligence Research and Development - Proceedings of the 15th International Conference of the Catalan Association for Artificial Intelligence, Alicante, Spain, October 24-26, 2012. Frontiers in Artificial Intelligence and Applications 248, IOS Press 2012, ISBN 978-1-61499-138-0 [contents] - 2011
- [c19]Diego Viejo, José García Rodríguez, Miguel Cazorla, David Gil Méndez, Magnus Johnsson:
Using 3D GNG-based reconstruction for 6DoF egomotion. IJCNN 2011: 1042-1048 - [c18]David Gil Méndez, José García Rodríguez, Miguel Cazorla, Magnus Johnsson:
Predictions tasks with words and sequences: Comparing a novel recurrent architecture with the Elman network. IJCNN 2011: 1207-1213 - [c17]Diego Viejo, José García Rodríguez, Miguel Cazorla:
Visual Features Extraction Based Egomotion Calculation from a Infrared Time-of-Flight Camera. IWANN (2) 2011: 9-16 - [c16]Diego Viejo, José García Rodríguez, Miguel Cazorla:
6DoF Egomotion Computing Using 3D GNG-Based Reconstruction. IWANN (2) 2011: 50-57 - 2010
- [c15]Anna Romero, Miguel Cazorla:
Topological SLAM Using Omnidirectional Images: Merging Feature Detectors and Graph-Matching. ACIVS (1) 2010: 464-475 - [c14]Anna Romero, Miguel Cazorla:
An Improvement of Topological Mapping Using a Graph-Matching Based Method with Omnidirectional Images. CCIA 2010: 311-320 - [c13]Anna Romero, Miguel Cazorla:
Testing Image Segmentation for Topological SLAM with Omnidirectional Images. MICAI (1) 2010: 266-277
2000 – 2009
- 2009
- [j5]José María Cañas Plaza, Miguel Ángel Cazorla Quevedo, Vicente Matellán:
Uso de Simuladores en Docencia de Robótica Móvil. Rev. Iberoam. de Tecnol. del Aprendiz. 4(4): 269-278 (2009) - [j4]Miguel Angel Lozano, Francisco Escolano, Boyan Bonev, Pablo Suau, Wendy Aguilar, Juan Manuel Sáez, Miguel Cazorla:
Region and constellations based categorization of images with unsupervised graph learning. Image Vis. Comput. 27(7): 960-978 (2009) - 2008
- [j3]Boyan Bonev, Francisco Escolano, Miguel Cazorla:
Feature selection, mutual information, and the classification of high-dimensional patterns. Pattern Anal. Appl. 11(3-4): 309-319 (2008) - 2007
- [c12]Boyan Bonev, Francisco Escolano, Miguel Angel Lozano, Pablo Suau, Miguel Cazorla, Wendy Aguilar:
Constellations and the Unsupervised Learning of Graphs. GbRPR 2007: 340-350 - [c11]Francisco Escolano, Boyan Bonev, Pablo Suau, Wendy Aguilar, Yann Frauel, Juan Manuel Sáez, Miguel Cazorla:
Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching. IROS 2007: 1715-1722 - [c10]Diego Viejo, Miguel Cazorla:
3D plane-based egomotion for SLAM on semi-structured environment. IROS 2007: 2761-2766 - [c9]Boyan Bonev, Francisco Escolano, Miguel Cazorla:
A Novel Information Theory Method for Filter Feature Selection. MICAI 2007: 431-440 - 2006
- [c8]Boyan Bonev, Miguel Cazorla:
Towards autonomous adaptation in visual tasks. Workshop de Agentes Físicos 2006: 59-66 - [c7]Diego Viejo, Miguel Cazorla:
Extraction and error modeling of 3D data: application to SLAM. Workshop de Agentes Físicos 2006: 153-158 - 2005
- [c6]Boyan Bonev, Miguel Cazorla, Humberto Martínez:
Walk Calibration in a Four-legged Robot. CLAWAR 2005: 493-500 - [c5]Diego Viejo, Juan Manuel Sáez, Miguel Ángel Cazorla Quevedo, Francisco Escolano:
Active stereo based compact mapping. IROS 2005: 529-534 - 2004
- [c4]Diego Viejo, Miguel Cazorla:
Unconstrained 3D-Mesh Generation Applied to Map Building. CIARP 2004: 241-248 - 2003
- [j2]Miguel Cazorla, Francisco Escolano:
Two Bayesian methods for junction classification. IEEE Trans. Image Process. 12(3): 317-327 (2003) - 2002
- [j1]Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo:
Junction detection and grouping with probabilistic edge models and Bayesian A. Pattern Recognit. 35(9): 1869-1881 (2002)
1990 – 1999
- 1999
- [c3]Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo:
Bayesian Models for Finding and Grouping Junctions. EMMCVPR 1999: 70-82 - 1998
- [c2]Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Faraón Llorens, Rosana Satorre, Ramón Rizo:
A Combined Probabilistic Framework for Learning Gestures and Actions. IEA/AIE (Vol. 2) 1998: 658-667 - 1997
- [c1]Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Ramón Rizo:
Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences. EMMCVPR 1997: 521-534
Coauthor Index
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