Michael Villamizar

Orcid: 0000-0002-2066-6665

According to our database1, Michael Villamizar authored at least 40 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
CCDb-HG: Novel Annotations and Gaze-Aware Representations for Head Gesture Recognition.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023
Towards smart pruning: ViNet, a deep-learning approach for grapevine structure estimation.
Comput. Electron. Agric., April, 2023

A Multitask and Kernel Approach for Learning to Push Objects with a Target-Parameterized Deep Q-Network.
IROS, 2023

Efficient Grapevine Structure Estimation in Vineyards Conditions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2020

Multi-scale sequential network for semantic text segmentation and localization.
Pattern Recognit. Lett., 2020

WatchNet++: efficient and accurate depth-based network for detecting people attacks and intrusion.
Mach. Vis. Appl., 2020

Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Robust Perception for Aerial Inspection: Adaptive and On-Line Techniques.
Proceedings of the Aerial Robotic Manipulation - Research, Development and Applications, 2019

Online learning and detection of faces with low human supervision.
Vis. Comput., 2019

2018
Boosted Random Ferns for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Real-time Convolutional Networks for Depth-based Human Pose Estimation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Investigating Depth Domain Adaptation for Efficient Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

UNICITY: A depth maps database for people detection in security airlocks.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017
Random clustering ferns for multimodal object recognition.
Neural Comput. Appl., 2017

Teaching Robot's Proactive Behavior Using Human Assistance.
Int. J. Soc. Robotics, 2017

Aerial social force model: A new framework to accompany people using autonomous flying robots.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Interactive multiple object learning with scanty human supervision.
Comput. Vis. Image Underst., 2016

2015
Real Time People Detection Combining Appearance and Depth Image Spaces Using Boosted Random Ferns.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015

Modeling robot's world with minimal effort.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Efficient monocular pose estimation for complex 3D models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Multimodal Object Recognition Using Random Clustering Trees.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014
Fast online learning and detection of natural landmarks for autonomous aerial robots.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Robot Interactive Learning through Human Assistance.
Proceedings of the Multimodal Interaction in Image and Video Applications, 2013

Proactive behavior of an autonomous mobile robot for human-assisted learning.
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013

2012
Bootstrapping Boosted Random Ferns for discriminative and efficient object classification.
Pattern Recognit., 2012

Online human-assisted learning using Random Ferns.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Detection Performance Evaluation of Boosted Random Ferns.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Efficient 3D Object Detection using Multiple Pose-Specific Classifiers.
Proceedings of the British Machine Vision Conference, 2011

2010
Shared Random Ferns for Efficient Detection of Multiple Categories.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Comparative Analysis for Detecting Objects Under Cast Shadows in Video Images.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Efficient rotation invariant object detection using boosted Random Ferns.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Combining color-based invariant gradient detector with HoG descriptors for robust image detection in scenes under cast shadows.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Local Boosted Features for Pedestrian Detection.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2007
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

Robust Color Contour Object Detection Invariant to Shadows.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Computation of Rotation Local Invariant Features using the Integral Image for Real Time Object Detection.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Orientation Invariant Features for Multiclass Object Recognition.
Proceedings of the Progress in Pattern Recognition, 2006


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