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Urbano Nunes
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Publications
- 2023
- [c109]Pedro Conde, Tiago Barros, Cristiano Premebida, Urbano J. Nunes:
ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification. ICARSC 2023: 50-55 - [c107]Tiago Barros, Luís Garrote, Martin Aleksandrov, Cristiano Premebida, Urbano J. Nunes:
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition. ITSC 2023: 2843-2849 - [i10]Ricardo Pereira, Tiago Barros, Luís Garrote, Ana C. Lopes, Urbano J. Nunes:
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification. CoRR abs/2302.06432 (2023) - [i9]Tiago Barros, Luis Garrote, Pedro Conde, Matthew Coombes, C. Liu, Cristiano Premebida, Urbano J. Nunes:
ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards. CoRR abs/2303.00477 (2023) - [i8]Pedro Conde, Tiago Barros, Rui L. Lopes, Cristiano Premebida, Urbano J. Nunes:
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks. CoRR abs/2304.05104 (2023) - [i7]Tiago Barros, Luís Garrote, Martin Aleksandrov, Cristiano Premebida, Urbano J. Nunes:
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition. CoRR abs/2305.18013 (2023) - [i6]Nuno Cunha, Tiago Barros, Mário Reis, Tiago Marta, Cristiano Premebida, Urbano J. Nunes:
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches. CoRR abs/2308.00159 (2023) - 2022
- [j58]Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes:
Multispectral vineyard segmentation: A deep learning comparison study. Comput. Electron. Agric. 195: 106782 (2022) - [c104]Tiago Barros, Luís Garrote, Ricardo Pereira, Cristiano Premebida, Urbano J. Nunes:
AttDLNet: Attention-Based Deep Network for 3D LiDAR Place Recognition. ROBOT (1) 2022: 309-320 - 2021
- [c101]Ricardo Pereira, Luís Garrote, Tiago Barros, Ana C. Lopes, Urbano J. Nunes:
A Deep Learning-based Indoor Scene Classification Approach Enhanced with Inter-Object Distance Semantic Features. IROS 2021: 32-38 - [i4]Tiago Barros, Luís Garrote, Ricardo Pereira, Cristiano Premebida, Urbano J. Nunes:
AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition. CoRR abs/2106.09637 (2021) - [i3]Tiago Barros, Ricardo Pereira, Luís Garrote, Cristiano Premebida, Urbano J. Nunes:
Place recognition survey: An update on deep learning approaches. CoRR abs/2106.10458 (2021) - [i2]Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes:
Multispectral Vineyard Segmentation: A Deep Learning approach. CoRR abs/2108.01200 (2021) - 2020
- [c98]Ricardo Pereira, Nuno Gonçalves, Luis Garrote, Tiago Barros, Ana C. Lopes, Urbano J. Nunes:
Deep-Learning based Global and Semantic Feature Fusion for Indoor Scene Classification. ICARSC 2020: 67-73 - [c97]Luis Garrote, Diogo Temporão, Samuel Temporão, Ricardo Pereira, Tiago Barros, Urbano J. Nunes:
Improving Local Motion Planning with a Reinforcement Learning Approach. ICARSC 2020: 206-213 - [c96]Jack N. C. Hayton, Tiago Barros, Cristiano Premebida, Matthew Coombes, Urbano J. Nunes:
CNN-based Human Detection Using a 3D LiDAR onboard a UAV. ICARSC 2020: 312-318 - [c95]Ricardo Pereira, Tiago Barros, Luis Garrote, Ana C. Lopes, Urbano J. Nunes:
An Experimental Study of the Accuracy vs Inference Speed of RGB-D Object Recognition in Mobile Robotics. RO-MAN 2020: 588-595 - 2019
- [c92]Luis Garrote, Tiago Barros, Ricardo Pereira, Urbano J. Nunes:
Absolute Indoor Positioning-aided Laser-based Particle Filter Localization with a Refinement Stage. IECON 2019: 597-603 - [c91]Luis Garrote, Miguel Torres, Tiago Barros, João Perdiz, Cristiano Premebida, Urbano J. Nunes:
Mobile Robot Localization with Reinforcement Learning Map Update Decision aided by an Absolute Indoor Positioning System. IROS 2019: 1620-1626 - [c88]Tiago Barros, Luis Garrote, Ricardo Pereira, Cristiano Premebida, Urbano J. Nunes:
Improving Localization by Learning Pole-Like Landmarks Using a Semi-supervised Approach. ROBOT (1) 2019: 255-266
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