Orientation Invariant Features for Multiclass Object Recognition. - Michael Villamizar; Alberto Sanfeliu; Juan Andrade-Cetto (CIARP, 2006)

Computation of Rotation Local Invariant Features using the Integral Image for Real Time Object Detection. - Michael Villamizar; Alberto Sanfeliu; Juan Andrade-Cetto (ICPR (4), 2006)

Robust Color Contour Object Detection Invariant to Shadows. - Jorge Scandaliaris; Michael Villamizar; Juan Andrade-Cetto; Alberto Sanfeliu (CIARP, 2007)

Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions. - Michael Villamizar; Alberto Sanfeliu; Juan Andrade-Cetto (IbPRIA (2), 2007)

Local Boosted Features for Pedestrian Detection. - Michael Villamizar; Alberto Sanfeliu; Juan Andrade-Cetto (IbPRIA, 2009)

Combining color-based invariant gradient detector with HoG descriptors for robust image detection in scenes under cast shadows. - Michael Villamizar; Jorge Scandaliaris; Alberto Sanfeliu; Juan Andrade-Cetto (ICRA, 2009)

Efficient rotation invariant object detection using boosted Random Ferns. - Michael Villamizar; Francesc Moreno-Noguer; Juan Andrade-Cetto; Alberto Sanfeliu (CVPR, 2010)

Comparative Analysis for Detecting Objects Under Cast Shadows in Video Images. - Jorge Scandaliaris; Michael Villamizar; Alberto Sanfeliu (ICPR, 2010)

Shared Random Ferns for Efficient Detection of Multiple Categories. - Michael Villamizar; Francesc Moreno-Noguer; Juan Andrade-Cetto; Alberto Sanfeliu (ICPR, 2010)

Efficient 3D Object Detection using Multiple Pose-Specific Classifiers. - Michael Villamizar; Helmut Grabner; Francesc Moreno-Noguer; Juan Andrade-Cetto; Luc Van Gool; Alberto Sanfeliu (BMVC, 2011)

Detection Performance Evaluation of Boosted Random Ferns. - Michael Villamizar; Francesc Moreno-Noguer; Juan Andrade-Cetto; Alberto Sanfeliu (IbPRIA, 2011)

Online human-assisted learning using Random Ferns. - Michael Villamizar; Anais Garrell; Alberto Sanfeliu; Francesc Moreno-Noguer (ICPR, 2012)

Bootstrapping Boosted Random Ferns for discriminative and efficient object classification. - Michael Villamizar; Juan Andrade-Cetto; Alberto Sanfeliu; Francesc Moreno-Noguer (Pattern Recognit., 2012)

Proactive behavior of an autonomous mobile robot for human-assisted learning. - Anais Garrell; Michael Villamizar; Francesc Moreno-Noguer; Alberto Sanfeliu (RO-MAN, 2013)

Robot Interactive Learning through Human Assistance. - Gonzalo Ferrer 001; Anais Garrell; Michael Villamizar; Iván Huerta; Alberto Sanfeliu (Multimodal Interaction in Image and Video Applications, 2013)

Fast online learning and detection of natural landmarks for autonomous aerial robots. - Michael Villamizar; Alberto Sanfeliu; Francesc Moreno-Noguer (ICRA, 2014)

Multimodal Object Recognition Using Random Clustering Trees. - Michael Villamizar; Anais Garrell; Alberto Sanfeliu; Francesc Moreno-Noguer (IbPRIA, 2015)

Efficient monocular pose estimation for complex 3D models. - Antonio Rubio 001; Michael Villamizar; Luis Ferraz; Adrián Peñate Sánchez; Arnau Ramisa; Edgar Simo-Serra; Alberto Sanfeliu; Francesc Moreno-Noguer (ICRA, 2015)

Modeling robot's world with minimal effort. - Michael Villamizar; Anais Garrell; Alberto Sanfeliu; Francesc Moreno-Noguer (ICRA, 2015)

Real Time People Detection Combining Appearance and Depth Image Spaces Using Boosted Random Ferns. - Victor Vaquero; Michael Villamizar; Alberto Sanfeliu (ROBOT (2), 2015)

Interactive multiple object learning with scanty human supervision. - Michael Villamizar; Anais Garrell; Alberto Sanfeliu; Francesc Moreno-Noguer (Comput. Vis. Image Underst., 2016)

Aerial social force model: A new framework to accompany people using autonomous flying robots. - Anais Garrell; Luis Garza-Elizondo; Michael Villamizar; Fernando Herrero; Alberto Sanfeliu (IROS, 2017)

Teaching Robot's Proactive Behavior Using Human Assistance. - Anais Garrell; Michael Villamizar; Francesc Moreno-Noguer; Alberto Sanfeliu (Int. J. Soc. Robotics, 2017)

Random clustering ferns for multimodal object recognition. - Michael Villamizar; Anais Garrell; Alberto Sanfeliu; Francesc Moreno-Noguer (Neural Comput. Appl., 2017)

UNICITY: A depth maps database for people detection in security airlocks. - Joël Dumoulin; Olivier Canévet; Michael Villamizar; Hugo Nunes; Omar Abou Khaled; Elena Mugellini; Fabrice Moscheni; Jean-Marc Odobez (AVSS, 2018)

WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems. - Michael Villamizar; Ángel Martínez-González; Olivier Canévet; Jean-Marc Odobez (AVSS, 2018)

Investigating Depth Domain Adaptation for Efficient Human Pose Estimation. - Ángel Martínez-González; Michael Villamizar; Olivier Canévet; Jean-Marc Odobez (ECCV Workshops (2), 2018)

Real-time Convolutional Networks for Depth-based Human Pose Estimation. - Ángel Martínez-González; Michael Villamizar; Olivier Canévet; Jean-Marc Odobez (IROS, 2018)

Boosted Random Ferns for Object Detection. - Michael Villamizar; Juan Andrade-Cetto; Alberto Sanfeliu; Francesc Moreno-Noguer (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Online learning and detection of faces with low human supervision. - Michael Villamizar; Alberto Sanfeliu; Francesc Moreno-Noguer (Vis. Comput., 2019)

Robust Perception for Aerial Inspection: Adaptive and On-Line Techniques. - Michael Villamizar; Alberto Sanfeliu (Aerial Robotic Manipulation, 2019)

Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation. - Ángel Martínez-González; Michael Villamizar; Olivier Canévet; Jean-Marc Odobez (IROS, 2020)

WatchNet++: efficient and accurate depth-based network for detecting people attacks and intrusion. - Michael Villamizar; Ángel Martínez-González; Olivier Canévet; Jean-Marc Odobez (Mach. Vis. Appl., 2020)

Multi-scale sequential network for semantic text segmentation and localization. - Michael Villamizar; Olivier Canévet; Jean-Marc Odobez (Pattern Recognit. Lett., 2020)

Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation. - Ángel Martínez-González; Michael Villamizar; Olivier Canévet; Jean-Marc Odobez (IEEE Trans. Circuits Syst. Video Technol., 2020)

Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers. - Ángel Martínez-González; Michael Villamizar; Jean-Marc Odobez (ICCVW, 2021)

Efficient Grapevine Structure Estimation in Vineyards Conditions. - Theophile Gentilhomme; Michael Villamizar; Jerome Corre; Jean-Marc Odobez (ICCV (Workshops), 2023)

A Multitask and Kernel Approach for Learning to Push Objects with a Target-Parameterized Deep Q-Network. - Marco Ewerton; Michael Villamizar; Julius Jankowski; Sylvain Calinon; Jean-Marc Odobez (IROS, 2023)

Towards smart pruning: ViNet, a deep-learning approach for grapevine structure estimation. - Theophile Gentilhomme; Michael Villamizar; Jerome Corre; Jean-Marc Odobez (Comput. Electron. Agric., 2023)

CCDb-HG: Novel Annotations and Gaze-Aware Representations for Head Gesture Recognition. - Pierre Vuillecard; Arya Farkhondeh; Michael Villamizar; Jean-Marc Odobez (FG, 2024)