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Adrian Penate-Sanchez
Adrian Penate-Sanchez
Beatriz Galindo Lecturer at Universidad de Las Palmas de Gran Canaria (ULPGC)
Verified email at ulpgc.es - Homepage
Title
Cited by
Cited by
Year
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
1732013
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
582015
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
482019
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
342016
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
31*2021
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
302015
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
242020
Matchability Prediction for Full-Search Template Matching Algorithms
A Penate-Sanchez, L Porzi, F Moreno-Noguer
International Conference on 3D Vision, 2015
212015
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
192018
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
162017
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
142021
Implementation of a 3D pose estimation algorithm
E Riba Pi
CSIC-UPC-Instituto de Robótica e Informática Industrial (IRII), 2015
102015
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
72021
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
62014
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
52016
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
3*2020
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
32013
Genetic parameters for growth and morphological traits of the Pacific white shrimp Penaeus vannamei from a selective breeding programme in the industrial sector of Ecuador
HS Shin, MEM Chimborazo, JME Rivas, Á Lorenzo-Felipe, MM Soler, ...
Aquaculture Reports 31, 101649, 2023
22023
NeRFLight: Fast and Light Neural Radiance Fields using a Shared Feature Grid
F Rivas-Manzaneque, J Sierra-Acosta, A Penate-Sanchez, ...
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023
22023
Joint image and 3D shape part representation in large collections for object blending
A Penate-Sanchez, L Agapito
IEEE Access 8, 35696-35711, 2020
22020
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