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Pedro Conde
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 9
Top Topics
Deep Learning
Top Venues
CoRR
Comput. Electron. Agric.
BMVC
IEEE Trans. Intell. Transp. Syst.
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Publications
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Tiago Barros
,
Luís Garrote
,
Pedro Conde
,
Matthew Coombes
,
C. Liu
,
Cristiano Premebida
,
Urbano J. Nunes
PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture.
CoRR
(2024)
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
(2023)
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
(2023)
Gledson Melotti
,
Weihao Lu
,
Pedro Conde
,
Dezong Zhao
,
Alireza Asvadi
,
Nuno M. M. da S. Gonçalves
,
Cristiano Premebida
Probabilistic Approach for Road-Users Detection.
IEEE Trans. Intell. Transp. Syst.
24 (9) (2023)
Pedro Conde
,
Rui L. Lopes
,
Cristiano Premebida
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection.
CoRR
(2023)
Pedro Conde
,
Tiago Barros
,
Cristiano Premebida
,
Urbano J. Nunes
ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification.
ICARSC
(2023)
Pedro Conde
,
Cristiano Premebida
Adaptive-TTA: accuracy-consistent weighted test time augmentation method for the uncertainty calibration of deep learning classifiers.
BMVC
(2022)
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 (2022)
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
(2021)