Human behaviour recognition based on trajectory analysis using neural networks. - Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló; José García Rodríguez 001 (IJCNN, 2013)

Model-Based Multi-view Registration for RGB-D Sensors. - Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló (IWANN (2), 2013)

A predictive model for recognizing human behaviour based on trajectory representation. - Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló; Antonio Oliver-Albert (IJCNN, 2014)

A Comparative Study of Registration Methods for RGB-D Video of Static Scenes. - Vicente Morell-Giménez; Marcelo Saval-Calvo; Jorge Azorín López; José García Rodríguez 001; Miguel Cazorla; Sergio Orts-Escolano; Andrés Fuster Guilló (Sensors, 2014)

Self-Organizing Activity Description Map to represent and classify human behaviour. - Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló; José García Rodríguez 001; Sergio Orts-Escolano (IJCNN, 2015)

Processing point cloud sequences with Growing Neural Gas. - Sergio Orts-Escolano; José García Rodríguez 001; Vicente Morell; Miguel Cazorla; Marcelo Saval-Calvo; Jorge Azorín López (IJCNN, 2015)

Non-rigid point set registration using color and data downsampling. - Marcelo Saval-Calvo; Sergio Orts-Escolano; Jorge Azorín López; José García Rodríguez 001; Andrés Fuster Guilló; Vicente Morell-Giménez; Miguel Cazorla (IJCNN, 2015)

Topology Preserving Self-Organizing Map of Features in Image Space for Trajectory Classification. - Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló; Higinio Mora Mora; Victor Villena-Martinez (IWINAC (2), 2015)

A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color. - Marcelo Saval-Calvo; Sergio Orts-Escolano; Jorge Azorín López; José García Rodríguez 001; Andrés Fuster Guilló; Vicente Morell-Giménez; Miguel Cazorla (IWINAC (2), 2015)

Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC. - Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló; José García Rodríguez 001 (Appl. Soft Comput., 2015)

μ-MAR: Multiplane 3D Marker based Registration for depth-sensing cameras. - Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló; Higinio Mora Mora (Expert Syst. Appl., 2015)

Group activity description and recognition based on trajectory analysis and neural networks. - Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló; José García Rodríguez 001; Miguel Cazorla; María Teresa Signes Pont (IJCNN, 2016)

A Novel Prediction Method for Early Recognition of Global Human Behaviour in Image Sequences. - Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló; José García Rodríguez 001 (Neural Process. Lett., 2016)

Machine Learning Methods from Group to Crowd Behaviour Analysis. - Luis Felipe Borja-Borja; Marcelo Saval-Calvo; Jorge Azorín López (IWANN (2), 2017)

3D Body Registration from RGB-D Data with Unconstrained Movements and Single Sensor. - Victor Villena-Martinez; Andrés Fuster Guilló; Marcelo Saval-Calvo; Jorge Azorín López (IWANN (2), 2017)

Best Viewpoint Tracking for Camera Mounted on Robotic Arm with Dynamic Obstacles. - Christos Maniatis; Marcelo Saval-Calvo; Radim Tylecek; Robert B. Fisher (CoRR, 2017)

A Compilation of Methods and Datasets for Group and Crowd Action Recognition. - Luis Felipe Borja-Borja; Jorge Azorín López; Marcelo Saval-Calvo (Int. J. Comput. Vis. Image Process., 2017)

An Iterative Method for 3D Body Registration Using a Single RGB-D Sensor. - Victor Villena-Martinez; Andrés Fuster Guilló; Marcelo Saval-Calvo; Jorge Azorín López (Int. J. Comput. Vis. Image Process., 2017)

Multi-sensor 3D object dataset for object recognition with full pose estimation. - Alberto Garcia-Garcia; Sergio Orts-Escolano; Sergiu Oprea; José García Rodríguez 001; Jorge Azorín López; Marcelo Saval-Calvo; Miguel Cazorla (Neural Comput. Appl., 2017)

Constrained self-organizing feature map to preserve feature extraction topology. - Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló; José García Rodríguez 001; Higinio Mora Mora (Neural Comput. Appl., 2017)

Evaluation of sampling method effects in 3D non-rigid registration. - Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló; José García Rodríguez 001; Sergio Orts-Escolano; Alberto Garcia-Garcia (Neural Comput. Appl., 2017)

A Novel Active Imaging Model to Design Visual Systems: A Case of Inspection System for Specular Surfaces. - Jorge Azorín López; Andrés Fuster Guilló; Marcelo Saval-Calvo; Higinio Mora Mora; Juan Manuel García Chamizo (Sensors, 2017)

A Review of the Bayesian Occupancy Filter. - Marcelo Saval-Calvo; Luis Medina-Valdés; José María Castillo Secilla; Sergio Cuenca-Asensi; Antonio Martínez-Álvarez; Jorge Villagra (Sensors, 2017)

A Quantitative Comparison of Calibration Methods for RGB-D Sensors Using Different Technologies. - Victor Villena-Martinez; Andrés Fuster Guilló; Jorge Azorín López; Marcelo Saval-Calvo; Jerónimo Mora Pascual; José García Rodríguez 001; Alberto Garcia-Garcia (Sensors, 2017)

A Short Review of Deep Learning Methods for Understanding Group and Crowd Activities. - Luis Felipe Borja-Borja; Marcelo Saval-Calvo; Jorge Azorín López (IJCNN, 2018)

Hybrid Multi-camera Visual Servoing to Moving Target. - Hanz Cuevas-Velasquez; Nanbo Li; Radim Tylecek; Marcelo Saval-Calvo; Robert B. Fisher (IROS, 2018)

3D non-rigid registration using color: Color Coherent Point Drift. - Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló; Victor Villena-Martinez; Robert B. Fisher (Comput. Vis. Image Underst., 2018)

Bioinspired point cloud representation: 3D object tracking. - Sergio Orts-Escolano; José García Rodríguez 001; Miguel Cazorla; Vicente Morell; Jorge Azorín López; Marcelo Saval-Calvo; Alberto Garcia-Garcia; Victor Villena-Martinez (Neural Comput. Appl., 2018)

3D Technologies to Acquire and Visualize the Human Body for Improving Dietetic Treatment. - Andrés Fuster Guilló; Jorge Azorín López; Juan Miguel Castillo Zaragoza; Luis Fernando Pérez Pérez; Marcelo Saval-Calvo; Robert B. Fisher (UCAmI, 2019)

Deep Learning Architecture for Group Activity Recognition using Description of Local Motions*. - Luis Felipe Borja-Borja; Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló (IJCNN, 2020)

A Deep Learning Architecture for Recognizing Abnormal Activities of Groups Using Context and Motion Information. - Luis Felipe Borja-Borja; Jorge Azorín López; Marcelo Saval-Calvo (SOCO, 2020)

When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs). - Victor Villena-Martinez; Sergiu Oprea; Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló; Robert B. Fisher (CoRR, 2020)

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments. - Andrés Fuster Guilló; Jorge Azorín López; Marcelo Saval-Calvo; Juan Miguel Castillo Zaragoza; Nahuel E. Garcia-D'Urso; Robert B. Fisher (Sensors, 2020)

Local-Global based Deep Registration Neural Network for Rigid Alignment. - Victor Villena-Martinez; Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló; Robert B. Fisher (IJCNN, 2021)

Iterative multilinear optimization for planar model fitting under geometric constraints. - Jorge Azorín López; Marc Sebban; Andrés Fuster Guilló; Marcelo Saval-Calvo; Amaury Habrard (PeerJ Comput. Sci., 2021)

Efficient instance segmentation using deep learning for species identification in fish markets. - Nahuel E. Garcia-D'Urso; Alejandro Galán-Cuenca; Pau Climent-Pérez; Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló (IJCNN, 2022)

Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning. - Pau Climent-Pérez; Alejandro Galán-Cuenca; Nahuel Emiliano Garcia-D'Urso; Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló (SOCO, 2022)

Architecture for Automatic Recognition of Group Activities Using Local Motions and Context. - Luis Felipe Borja-Borja; Jorge Azorín López; Marcelo Saval-Calvo; Andrés Fuster Guilló; Marc Sebban (IEEE Access, 2022)

Inter vs. Intra Domain Study of COVID Chest X-Ray Classification with Imbalanced Datasets. - Alejandro Galán-Cuenca; Miguel Mirón; Antonio Javier Gallego 001; Marcelo Saval-Calvo; Antonio Pertusa (IbPRIA, 2023)

A Deep Approach for Volumetric Tractography Segmentation. - Pablo Rocamora-García; Marcelo Saval-Calvo; Victor Villena-Martinez; Antonio Javier Gallego 001 (IbPRIA, 2023)

Simultaneous, vision-based fish instance segmentation, species classification and size regression. - Pau Climent-Pérez; Alejandro Galán-Cuenca; Nahuel E. Garcia-D'Urso; Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló (PeerJ Comput. Sci., 2024)

Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study. - Alejandro Galán-Cuenca; Antonio Javier Gallego 001; Marcelo Saval-Calvo; Antonio Pertusa (Pattern Anal. Appl., 2024)

Global point cloud registration network for large transformations. - Hanz Cuevas-Velasquez; Alejandro Galán-Cuenca; Antonio Javier Gallego 001; Marcelo Saval-Calvo; Robert B. Fisher (Pattern Anal. Appl., 2024)