| Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation A Penate-Sanchez, J Andrade-Cetto, F Moreno-Noguer PAMI, Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2013 | 132 | 2013 |
| A dynamic programming approach for fast and robust object pose recognition from range images C Zach, A Penate-Sanchez, MT Pham CVPR, Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 60 | 2015 |
| Learning to see the wood for the trees: Deep laser localization in urban and natural environments on a CPU G Tinchev, A Penate-Sanchez, M Fallon IEEE Robotics and Automation Letters 4 (2), 1327-1334, 2019 | 33 | 2019 |
| Learning depth-aware deep representations for robotic perception L Porzi, SR Bulo, A Penate-Sanchez, E Ricci, F Moreno-Noguer IEEE Robotics and Automation Letters 2 (2), 468-475, 2016 | 29 | 2016 |
| Efficient Monocular Pose Estimation for Complex 3D Models A Rubio, M Villamizar, L Ferraz, A Penate-Sanchez, A Ramisa, ... Robotics and Automation (ICRA), 2015 IEEE International Conference on, 2015 | 27 | 2015 |
| Matchability Prediction for Full-Search Template Matching Algorithms A Penate-Sanchez, L Porzi, F Moreno-Noguer International Conference on 3D Vision, 2015 | 19 | 2015 |
| Skd: Keypoint detection for point clouds using saliency estimation G Tinchev, A Penate-Sanchez, M Fallon IEEE Robotics and Automation Letters 6 (2), 3785-3792, 2021 | 15* | 2021 |
| Detect globally, label locally: Learning accurate 6-dof object pose estimation by joint segmentation and coordinate regression A Nigam, A Penate-Sanchez, L Agapito IEEE Robotics and Automation Letters 3 (4), 3960-3967, 2018 | 14 | 2018 |
| Depth-Aware Convolutional Neural Networks for Accurate 3D Pose Estimation in RGB-D Images L Porzi, A Penate-Sanchez, E Ricci, F Moreno-Noguer IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017 | 14 | 2017 |
| TGC20ReId: A dataset for sport event re-identification in the wild A Penate-Sanchez, D Freire-Obregón, A Lorenzo-Melián, ... Pattern Recognition Letters , October 2020, Pages 138, 355-361, 2020 | 10 | 2020 |
| Implementation of a 3D pose estimation algorithm E Riba Pi CSIC-UPC-Instituto de Robótica e Informática Industrial (IRII), 2015 | 10 | 2015 |
| LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images A Penate-Sanchez, F Moreno-Noguer, J Andrade-Cetto, F Fleuret International Conference on 3D Vision, 2014 | 6 | 2014 |
| Improving user verification in human-robot interaction from audio or image inputs through sample quality assessment D Freire-Obregón, K Rosales-Santana, PA Marín-Reyes, ... Pattern Recognition Letters 149, 179-184, 2021 | 5 | 2021 |
| MSClique: multiple structure discovery through the maximum weighted clique problem G Sanroma, A Penate-Sanchez, R Alquézar, F Serratosa, ... Plos one 11 (1), e0145846, 2016 | 5 | 2016 |
| TGCRBNW: A Dataset for Runner Bib Number Detection (and Recognition) in the Wild P Hernández-Carrascosa, A Penate-Sanchez, J Lorenzo, ... International Conference on Pattern Recognition (ICPR), 2021 | 3 | 2021 |
| Simultaneous Pose, Focal Length and 2D-to-3D Correspondences from Noisy Observations A Penate-Sanchez, E Serradell, J Andrade-Cetto, FM Noguer BMVC, British Machine Vision Conference 2013, 2013 | 3 | 2013 |
| Joint image and 3D shape part representation in large collections for object blending A Penate-Sanchez, L Agapito IEEE Access 8, 35696-35711, 2020 | 1 | 2020 |
| An Integrated Approach to Teaching Digital Competences in Higher Education AP Sánchez VII Jornadas Iberoamericanas de Innovación Educativa en el ámbito de las TIC …, 2020 | 1 | 2020 |
| 3D Pick & Mix: Object Part Blending in Joint Shape and Image Manifolds A Penate-Sanchez, L Agapito Asian Conference on Computer Vision, 155-170, 2018 | 1* | 2018 |
| Real Time Vehicle Recognition: A Novel Method for Road Detection A Peñate-Sánchez, A Quesada-Arencibia, C Travieso González Computer Aided Systems Theory–EUROCAST 2011, 359-364, 2011 | 1 | 2011 |
Francesc Moreno-NoguerResearch Scientist, Institut de Robotica i Informatica Industrial (UPC-CSIC)Email verificata su iri.upc.edu
