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Luis Montesano

Luis Montesano

D-Index & Metrics

Computer Science

D-Index
36
Citations
4903
World Ranking
11339
National Ranking
192

Overview

Luis Montesano is affiliated with the University of Zaragoza in Spain. Their research spans multiple fields, primarily focusing on computer science, neuroscience, and engineering. Montesano's work integrates advanced techniques in computer vision and cognitive neuroscience, often leveraging artificial intelligence and electrical engineering principles.

The scientist's main fields of study include:

  • Computer Science
  • Neuroscience
  • Engineering

Within these broad areas, Montesano has contributed to several subfields such as:

  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Cellular and Molecular Neuroscience

The focal topics of Montesano's research involve:

  • EEG and Brain-Computer Interfaces
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Sleep and Wakefulness Research

Recent scholarly contributions from Montesano include the following papers:

  • "Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Event Transformer. A sparse-aware solution for efficient event data processing," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Analyzing and Decoding Natural Reach-and-Grasp Actions Using Gel, Water and Dry EEG Systems," 2020, published in Frontiers in Neuroscience
  • "One-shot action recognition in challenging therapy scenarios," 2021, archived in Zaguan (University of Zaragoza Repository)
  • "3D-MiniNet: Learning a 2D Representation From Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation," 2020, published in IEEE Robotics and Automation Letters

Montesano frequently collaborates with a core group of coauthors, including:

  • Ana C. Murillo
  • Alberto Sabater
  • Íñigo Alonso
  • David Ferstl
  • Carlos Escolano

The primary venues for Montesano's publications reflect a mixture of conference proceedings and peer-reviewed journals:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Frontiers in Neuroscience

Best Publications

  • The iCub humanoid robot: An open-systems platform for research in cognitive development

    Giorgio Metta;Lorenzo Natale;Francesco Nori;Giulio Sandini

  • Learning Object Affordances: From Sensory--Motor Coordination to Imitation

    L. Montesano;M. Lopes;A. Bernardino;J. Santos-Victor

  • Semi-Supervised Semantic Segmentation With Pixel-Level Contrastive Learning From a Class-Wise Memory Bank

    Inigo Alonso;Alberto Sabater;David Ferstl;Luis Montesano

  • Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank

    Inigo Alonso;Alberto Sabater;David Ferstl;Luis Montesano

  • Active Learning for Reward Estimation in Inverse Reinforcement Learning

    Manuel Lopes;Francisco Melo;Luis Montesano

  • Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control.

    Iñaki Iturrate;Iñaki Iturrate;Ricardo Chavarriaga;Luis Montesano;Javier Minguez

  • Affordance-based imitation learning in robots

    M. Lopes;F.S. Melo;L. Montesano

  • 3D-MiniNet: Learning a 2D Representation From Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

    Iñigo Alonso;Luis Riazuelo;Luis Montesano;Ana C. Murillo

  • Learning grasping affordances from local visual descriptors

    Luis Montesano;Manuel Lopes

  • Probabilistic scan matching for motion estimation in unstructured environments

    Unknown

  • CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

    Jose M. Facil;Benjamin Ummenhofer;Huizhong Zhou;Luis Montesano

  • Modeling affordances using Bayesian networks

    L. Montesano;M. Lopes;A. Bernardino;J. Santos-Victor

  • Latency correction of error potentials between different experiments reduces calibration time for single-trial classification

    Inaki Iturrate;Ricardo Chavarriaga;Luis Montesano;Javier Minguez

  • Language Bootstrapping: Learning Word Meanings From Perception–Action Association

    G. Salvi;L. Montesano;A. Bernardino;J. Santos-Victor

  • Abstraction Levels for Robotic Imitation: Overview and Computational Approaches

    Manuel Lopes;Francisco S. Melo;Luis Montesano;José Santos-Victor

  • Cooperative localization by fusing vision-based bearing measurements and motion

    L. Montesano;J. Gaspar;J. Santos-Victor;L. Montano

  • A generalization of the metric-based Iterative Closest Point technique for 3D scan matching

    Unknown

  • Modeling dynamic scenarios for local sensor-based motion planning

    Unknown

  • Latency Correction of Event-Related Potentials Between Different Experimental Protocols

    Iñaki Iturrate;Ricardo Chavarriaga;Luis Montesano;Javier Minguez

  • Body schema acquisition through active learning

    Ruben Martinez-Cantin;Manuel Lopes;Luis Montesano

  • Analyzing and Decoding Natural Reach-and-Grasp Actions Using Gel, Water and Dry EEG Systems

    Andreas Schwarz;Carlos Escolano;Luis Montesano;Gernot R. Müller-Putz

  • Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions

    Luis Montesano;Manuel Lopes

  • Robust and efficient post-processing for video object detection

    Alberto Sabater;Luis Montesano;Ana C. Murillo

  • Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition

    Mohammad Moghimi;Pablo Azagra;Luis Montesano;Ana C. Murillo

  • One-shot action recognition in challenging therapy scenarios

    Alberto Sabater;Laura Santos;Jose Santos-Victor;Alexandre Bernardino

  • Affordance based word-to-meaning association

    V. Krunic;G. Salvi;A. Bernardino;L. Montesano

Frequent Co-Authors

Javier Civera
Javier Civera University of Zaragoza
José Santos-Victor
José Santos-Victor Instituto Superior Técnico
Alexandre Bernardino
Alexandre Bernardino Instituto Superior Técnico
Thomas Brox
Thomas Brox University of Freiburg

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