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Journal Articles
- 2023
[j5]Jesús D. Rivero-Ortega, Juan S. Mosquera-Maturana, Josh Pardo-Cabrera, Julián Hurtado-López
, Juan D. Hernández, Victor Romero-Cano, David Fernando Ramirez-Moreno:
Ring attractor bio-inspired neural network for social robot navigation. Frontiers Neurorobotics 17 (2023)- [j4]Jesús D. Rivero-Ortega, Juan S. Mosquera-Maturana, Josh Pardo-Cabrera, Julián Hurtado-López, Juan D. Hernández, Victor Romero-Cano, David Fernando Ramirez-Moreno:
Corrigendum: Ring attractor bio-inspired neural network for social robot navigation. Frontiers Neurorobotics 17 (2023) - 2022
- [j3]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:
Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning. IEEE Access 10: 42971-42982 (2022) - 2020
- [j2]Reinel Tabares-Soto, Simon Orozco-Arias, Victor Romero-Cano, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez-Varón:
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data. PeerJ Comput. Sci. 6: e270 (2020) - 2016
- [j1]Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto:
A variational approach to simultaneous multi-object tracking and classification. Int. J. Robotics Res. 35(6): 654-671 (2016)
Conference and Workshop Papers
- 2018
- [c7]David Sierra González, Özgür Erkent, Victor Romero-Cano, Jilles Steeve Dibangoye, Christian Laugier:
Modeling Driver Behavior from Demonstrations in Dynamic Environments Using Spatiotemporal Lattices. ICRA 2018: 1-7 - [c6]Özgür Erkent, Christian Wolf, Christian Laugier, David Sierra González, Victor Romero-Cano:
Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach. IROS 2018: 888-895 - 2017
- [c5]David Sierra González, Victor Romero-Cano, Jilles Steeve Dibangoye, Christian Laugier:
Interaction-aware driver maneuver inference in highways using realistic driver models. ITSC 2017: 1-8 - [c4]Victor Romero-Cano, Nicolas Vignard, Christian Laugier:
XDvision: Dense outdoor perception for autonomous vehicles. Intelligent Vehicles Symposium 2017: 752-757 - 2014
- [c3]Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto:
A variational approach to simultaneous tracking and classification of multiple objects. FUSION 2014: 1-8 - 2013
- [c2]Victor Romero-Cano, Juan I. Nieto, Gabriel Agamennoni:
Unsupervised motion learning from a moving platform. Intelligent Vehicles Symposium 2013: 111-115 - [c1]Victor Romero-Cano, Juan I. Nieto:
Stereo-based motion detection and tracking from a moving platform. Intelligent Vehicles Symposium 2013: 499-504
Informal and Other Publications
- 2023
- [i2]Johan S. Obando-Ceron, Victor Romero-Cano, Sildomar Monteiro:
Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion. CoRR abs/2307.10519 (2023) - 2019
- [i1]Johan S. Obando-Ceron, Victor Romero-Cano, Walter Mayor Toro:
Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data. CoRR abs/1912.09595 (2019)
Coauthor Index
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