Victor Romero-Cano

According to our database, Victor Romero-Cano authored at least 14 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Corrigendum: Ring attractor bio-inspired neural network for social robot navigation.

Jesús D. Rivero-Ortega, Juan S. Mosquera-Maturana, Josh Pardo-Cabrera, Julián Hurtado-López, Juan D. Hernández, Victor Romero-Cano, David Fernando Ramirez-Moreno

Frontiers Neurorobotics, June, 2023

Ring attractor bio-inspired neural network for social robot navigation.

Jesús D. Rivero-Ortega, Juan S. Mosquera-Maturana, Josh Pardo-Cabrera, Julián Hurtado-López, Juan D. Hernández, Victor Romero-Cano, David Fernando Ramirez-Moreno

Frontiers Neurorobotics, June, 2023

Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion.

Johan S. Obando-Ceron, Victor Romero-Cano, Sildomar Monteiro

CoRR, 2023

2022

Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning.

Manuel Alejandro Tamayo Monsalve, Esteban Mercado Ruiz, Juan Pablo Villa Pulgarin, Mario Alejandro Bravo-Ortiz, Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Jesús Alejandro Alzate-Grisales, Daniel Arias-Garzón, Victor Romero-Cano, Simon Orozco-Arias, Gustavo Osorio, Reinel Tabares-Soto

IEEE Access, 2022

2020

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.

Reinel Tabares-Soto, Simon Orozco-Arias, Victor Romero-Cano, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez-Varón

PeerJ Comput. Sci., 2020

2019

Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data.

Johan S. Obando-Ceron, Victor Romero-Cano, Walter Mayor Toro

CoRR, 2019

2018

Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach.

Özgür Erkent, Christian Wolf, Christian Laugier, David Sierra González, Victor Romero-Cano

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Modeling Driver Behavior from Demonstrations in Dynamic Environments Using Spatiotemporal Lattices.

David Sierra González, Özgür Erkent, Victor Romero-Cano, Jilles Steeve Dibangoye, Christian Laugier

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

XDvision: Dense outdoor perception for autonomous vehicles.

Victor Romero-Cano, Nicolas Vignard, Christian Laugier

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Interaction-aware driver maneuver inference in highways using realistic driver models.

David Sierra González, Victor Romero-Cano, Jilles Steeve Dibangoye, Christian Laugier

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016

A variational approach to simultaneous multi-object tracking and classification.

Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto

Int. J. Robotics Res., 2016

2014

A variational approach to simultaneous tracking and classification of multiple objects.

Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Unsupervised motion learning from a moving platform.

Victor Romero-Cano, Juan I. Nieto, Gabriel Agamennoni

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Stereo-based motion detection and tracking from a moving platform.

Victor Romero-Cano, Juan I. Nieto

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013