Designing Deep Learning-Based Tools Leveraging Production Data to Support Manufacturability Analysis

R. Siegfried, M. Villamizar, S. Devenes, R. Rey, A. Bacha, B. Morere, S. Zahno, J-M. Odobez
SSRN, 2024

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Towards smart pruning: ViNet, a deep-learning approach for grapevine structure estimation

T. Gentilhomme, M. Villamizar, J. Corre and J.M Odobez
Computers and Electronics in Agriculture, 2023

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WatchNet++: Efficient and accurate depth-based network for detecting people attacks and intrusion

M. Villamizar, A. Martinez-Gonzalez, O. Canevet and J.M Odobez
Machine Vision and Applications (MVAP), 2020

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Multi-scale sequential network for semantic text segmentation and localization

M. Villamizar, O. Canevet and J.M Odobez
Pattern Recognition Letters (PRL), 2019

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Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

A. Martinez-Gonzalez, M. Villamizar, O. Canevet and J.M Odobez
IEEE Transactions on Circuits and Systems for Video Technology, 2019

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Online Learning and Detection of Faces with Low Human Supervision

M. Villamizar, A. Sanfeliu and F. Moreno-Noguer
The Visual Computer Journal (TVCJ), 2018

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Boosted Random Ferns for Object Detection

M. Villamizar, J. Andrade-Cetto, A. Sanfeliu and F. Moreno-Noguer
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2017

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Teaching Robot's Proactive Behavior Using Human Assistance

A. Garrell, M. Villamizar, F. Moreno-Noguer and A. Sanfeliu
International Journal of Social Robotics (IJSR), 2017

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Interactive Multiple Object Learning with Scanty Human Supervision

M. Villamizar, A. Garrell, A. Sanfeliu and F. Moreno-Noguer
Computer Vision and Image Understanding (CVIU), 2016

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Random Clustering Ferns for Multimodal Object Recognition

M. Villamizar, A. Garrell, A. Sanfeliu and F. Moreno-Noguer
Neural Computing and Applications (NCAA), 2016

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Bootstrapping Boosted Random Ferns for Discriminative and Efficient Object Classification

M. Villamizar, J. Andrade-Cetto, A. Sanfeliu and F. Moreno-Noguer
Pattern Recognition, 2012

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