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ORCIDCristiano Premebida
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2020 – today
- 2024
[j16]Tiago Barros, Luís Garrote, Pedro Conde, Matthew J. Coombes, Cunjia 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. IEEE Robotics Autom. Lett. 9(11): 10471-10478 (2024)- [c44]Kennedy O. S. Mota, Luís Garrote, Cristiano Premebida:
Multimodal Human Detection using RGB, Thermal and LiDAR modalities for Robotic Perception. CASE 2024: 4168-4173 - [i20]Abraham Itzhak Weinberg, Cristiano Premebida, Diego Resende Faria:
Causality from Bottom to Top: A Survey. CoRR abs/2403.11219 (2024) - [i19]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 abs/2405.19038 (2024) - [i18]Weihao Lu, Dezong Zhao, Cristiano Premebida, Li Zhang, Wenjing Zhao, Daxin Tian:
Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection. CoRR abs/2409.04601 (2024) - 2023
- [j15]Jorge Sampaio Silveira Junior
, Jérôme Mendes, Francisco Souza, Cristiano Premebida:
Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability. Int. J. Fuzzy Syst. 25(7): 2568-2589 (2023) - [j14]Gledson Melotti, Weihao Lu, Pedro Conde, Dezong Zhao, Alireza Asvadi, Nuno Gonçalves, Cristiano Premebida:
Probabilistic Approach for Road-Users Detection. IEEE Trans. Intell. Transp. Syst. 24(9): 9253-9267 (2023) - [j13]Weihao Lu, Dezong Zhao, Cristiano Premebida, Li Zhang, Wenjing Zhao, Daxin Tian:
Improving 3D Vulnerable Road User Detection With Point Augmentation. IEEE Trans. Intell. Veh. 8(5): 3489-3505 (2023) - [c43]Elísio Sousa, Kennedy O. S. Mota, Iago Pachêco Gomes, Luís Garrote, Denis F. Wolf, Cristiano Premebida:
Late-Fusion Multimodal Human Detection Based on RGB and Thermal Images for Robotic Perception. ECMR 2023: 1-6 - [c42]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 - [c41]Jorge Sampaio Silveira Junior, Jérôme Mendes, Francisco Souza, Cristiano Premebida:
Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit. ICINCO (2) 2023: 281-288 - [c40]Gil Gonçalves, Umberto Andriolo, Lúcio Paiva, Cristiano Premebida, António Ferraz:
Modelling the Dependence of Chlorophyll Leaf-Clip Measures on Vegetation Indices Derived from Multispectral UAS Images in Vineyards Parcels. IGARSS 2023: 2775-2778 - [c39]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 - [c38]Iago Pachêco Gomes, Cristiano Premebida, Denis Fernando Wolf:
Interaction-Aware Maneuver Intention Prediction Using Gated Mixture-of-Experts Attention Mechanism. ITSC 2023: 3512-3518 - [c37]Iago Pachêco Gomes, Cristiano Premebida, Denis Fernando Wolf:
Interaction-aware Maneuver Prediction for Autonomous Vehicles using Interaction Graphs. IV 2023: 1-8 - [c36]Marta Martins, Iago Pachêco Gomes, Denis Fernando Wolf, Cristiano Premebida:
Evaluation of Point Cloud Data Augmentation for 3D-LiDAR Object Detection in Autonomous Driving. ROBOT (1) 2023: 82-92 - [c35]Nuno Cunha, Tiago Barros, Mário Reis, Tiago Marta, Cristiano Premebida, Urbano J. Nunes:
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches. ROBOT (2) 2023: 311-323 - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]Pedro Conde, Rui L. Lopes, Cristiano Premebida:
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection. CoRR abs/2309.00464 (2023) - [i12]Gledson Melotti, Johann J. S. Bastos, Bruno L. S. da Silva, Tiago Zanotelli, Cristiano Premebida:
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception. CoRR abs/2310.05951 (2023) - 2022
- [j12]Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves:
Reducing Overconfidence Predictions in Autonomous Driving Perception. IEEE Access 10: 54805-54821 (2022) - [j11]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) - [j10]José Eugenio Naranjo, Felipe Jiménez, Rodrigo Castiñeira, Mauro Gil, Cristiano Premebida, Pedro Serra, Alberto Valejo, Fawzi Nashashibi, Conceição Magalhães:
Cross-Border Interoperability for Cooperative, Connected, and Automated Driving. IEEE Intell. Transp. Syst. Mag. 14(4): 6-19 (2022) - [j9]Francisco Souza, Cristiano Premebida, Rui Araújo:
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection. Pattern Recognit. 131: 108895 (2022) - [c34]Pedro Conde, Cristiano Premebida:
Adaptive-TTA: accuracy-consistent weighted test time augmentation method for the uncertainty calibration of deep learning classifiers. BMVC 2022: 869 - [c33]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 - [i11]Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves:
Reducing Overconfidence Predictions for Autonomous Driving Perception. CoRR abs/2202.07825 (2022) - [i10]Francisco Souza, Cristiano Premebida, Rui Araújo:
High-Order Conditional Mutual Information Maximization for dealing with High-Order Dependencies in Feature Selection. CoRR abs/2207.08476 (2022) - [i9]Jorge Sampaio Silveira Junior, Jérôme Mendes, Francisco Souza, Cristiano Premebida:
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability. CoRR abs/2209.04230 (2022) - 2021
- [c32]Weihao Lu, Dezong Zhao, Cristiano Premebida, Wen-Hua Chen, Daxin Tian:
Semantic Feature Mining for 3D Object Classification and Segmentation. ICRA 2021: 13539-13545 - [c31]Jorge Sampaio Silveira Junior, Jérôme Mendes, Rui Araújo, João Ruivo Paulo, Cristiano Premebida:
Novelty Detection for Iterative Learning of MIMO Fuzzy Systems. INDIN 2021: 1-7 - [i8]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) - [i7]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) - [i6]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) - [i5]Gledson Melotti, W. Lu, Dezong Zhao, Alireza Asvadi, Nuno Gonçalves, Cristiano Premebida:
Probabilistic Approach for Road-Users Detection. CoRR abs/2112.01360 (2021) - 2020
- [c30]Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, Pedro P. S. Ayrosa:
Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. ICARSC 2020: 146-151 - [c29]Gledson Melotti, Cristiano Premebida, Nuno Gonçalves:
Multimodal Deep-Learning for Object Recognition Combining Camera and LIDAR Data. ICARSC 2020: 177-182 - [c28]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 - [c27]Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, George Vogiatzis:
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. IROS 2020: 10380-10385 - [i4]Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves:
Probabilistic Object Classification using CNN ML-MAP layers. CoRR abs/2005.14565 (2020) - [i3]Jordan J. Bird, Diego R. Faria, Anikó Ekárt, Cristiano Premebida, Pedro P. S. Ayrosa:
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. CoRR abs/2007.00659 (2020) - [i2]Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, George Vogiatzis:
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. CoRR abs/2007.10175 (2020)
2010 – 2019
- 2019
- [c26]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 - [c25]Joel Pereira, Cristiano Premebida, Alireza Asvadi, F. Cannata, Luis Garrote, Urbano José C. Nunes:
Test and Evaluation of Connected and Autonomous Vehicles in Real-world Scenarios. IV 2019: 14-19 - [c24]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 - 2018
- [j8]Alireza Asvadi, Luis Garrote, Cristiano Premebida, Paulo Peixoto, Urbano José C. Nunes:
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data. Pattern Recognit. Lett. 115: 20-29 (2018) - [c23]Gledson Melotti, Alireza Asvadi, Cristiano Premebida:
CNN-LIDAR pedestrian classification: combining range and reflectance data. ICVES 2018: 1-6 - [c22]Luis Garrote, Cristiano Premebida, David Silva, Urbano José C. Nunes:
HMAPs - Hybrid Height- Voxel Maps for Environment Representation. IROS 2018: 1197-1203 - [c21]Gledson Melotti, Cristiano Premebida, Nuno Gonçalves, Urbano José C. Nunes, Diego R. Faria:
Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data. ITSC 2018: 3138-3143 - [c20]Cristiano Premebida, Pedro Serra, Alireza Asvadi, Alberto Valejo, Ricardo Fonseca, Rui Costa, Lara Moura, Conceição Magalhães:
AUTOCITS Pilot in Lisbon - Perspectives, Challenges and Approaches. VEHITS 2018: 488-494 - [c19]Cristiano Premebida, Pedro Serra, Alireza Asvadi, Alberto Valejo, Lara Moura:
Cooperative ITS Challenges: AUTOCITS Pilot in Lisbon. VTC Spring 2018: 1-5 - 2017
- [j7]Cristiano Premebida, Diego R. Faria, Urbano Nunes:
Dynamic Bayesian network for semantic place classification in mobile robotics. Auton. Robots 41(5): 1161-1172 (2017) - [c18]Luis Garrote, Jose Rosa, João Paulo, Cristiano Premebida, Paulo Peixoto, Urbano José C. Nunes:
3D point cloud downsampling for 2D indoor scene modelling in mobile robotics. ICARSC 2017: 228-233 - [c17]Alireza Asvadi, Luis Garrote, Cristiano Premebida, Paulo Peixoto, Urbano Nunes:
DepthCN: Vehicle detection using 3D-LIDAR and ConvNet. ITSC 2017: 1-6 - [c16]João Paulo, Luis Garrote, Alireza Asvadi, Cristiano Premebida, Paulo Peixoto:
Short-range gait pattern analysis for potential applications on assistive robotics. RO-MAN 2017: 107-112 - [c15]Diego R. Faria, Mario Vieira, Fernanda C. C. Faria, Cristiano Premebida:
Affective facial expressions recognition for human-robot interaction. RO-MAN 2017: 805-810 - [c14]Alireza Asvadi, Luis Garrote, Cristiano Premebida, Paulo Peixoto, Urbano José C. Nunes:
Real-Time Deep ConvNet-Based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data. ROBOT (2) 2017: 475-486 - 2016
- [j6]Alireza Asvadi, Cristiano Premebida, Paulo Peixoto, Urbano Nunes:
3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes. Robotics Auton. Syst. 83: 299-311 (2016) - [c13]Cristiano Premebida, Luis Garrote, Alireza Asvadi, A. Pedro Ribeiro, Urbano Nunes:
High-resolution LIDAR-based depth mapping using bilateral filter. ITSC 2016: 2469-2474 - [i1]Cristiano Premebida, Luis Garrote, Alireza Asvadi, A. Pedro Ribeiro, Urbano Nunes:
High-resolution LIDAR-based Depth Mapping using Bilateral Filter. CoRR abs/1606.05614 (2016) - 2015
- [j5]Ricardo Pascoal, Vítor M. F. Santos, Cristiano Premebida, Urbano Nunes:
Simultaneous Segmentation and Superquadrics Fitting in Laser-Range Data. IEEE Trans. Veh. Technol. 64(2): 441-452 (2015) - [c12]Cristiano Premebida, Diego R. Faria, Francisco A. Souza, Urbano Nunes:
Applying probabilistic Mixture Models to semantic place classification in mobile robotics. IROS 2015: 4265-4270 - [c11]Cristiano Premebida, João Sousa, Luis Garrote, Urbano Nunes:
Polar-Grid Representation and Kriging-Based 2.5D Interpolation for Urban Environment Modelling. ITSC 2015: 1234-1239 - [c10]Diego R. Faria, Mario Vieira, Cristiano Premebida, Urbano Nunes:
Probabilistic human daily activity recognition towards robot-assisted living. RO-MAN 2015: 582-587 - 2014
- [c9]Luis Garrote, Cristiano Premebida, Marco Silva, Urbano Nunes:
An RRT-based navigation approach for mobile robots and automated vehicles. INDIN 2014: 326-331 - [c8]Cristiano Premebida, João Carreira, Jorge Batista, Urbano Nunes:
Pedestrian detection combining RGB and dense LIDAR data. IROS 2014: 4112-4117 - [c7]Diego R. Faria, Cristiano Premebida, Urbano Nunes:
A probabilistic approach for human everyday activities recognition using body motion from RGB-D images. RO-MAN 2014: 732-737 - 2013
- [j4]Daniel Olmeda, Cristiano Premebida, Urbano Nunes, José María Armingol, Arturo de la Escalera:
Pedestrian detection in far infrared images. Integr. Comput. Aided Eng. 20(4): 347-360 (2013) - [j3]Cristiano Premebida, Urbano Nunes:
Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection. Int. J. Robotics Res. 32(3): 371-384 (2013) - [j2]Oswaldo Ludwig, Urbano Nunes, Bernardete Ribeiro, Cristiano Premebida:
Improving the Generalization Capacity of Cascade Classifiers. IEEE Trans. Cybern. 43(6): 2135-2146 (2013) - 2012
- [c6]Michel Antunes, João Pedro Barreto, Cristiano Premebida, Urbano Nunes:
Can stereo vision replace a Laser Rangefinder? IROS 2012: 5183-5190 - 2011
- [c5]Oswaldo Ludwig, Cristiano Premebida, Urbano Nunes, Rui Araújo:
Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection. ITSC 2011: 1574-1579 - 2010
- [c4]Cristiano Premebida, Oswaldo Ludwig, Marco Silva, Urbano Nunes:
A cascade classifier applied in pedestrian detection using laser and image-based features. ITSC 2010: 1153-1159
2000 – 2009
- 2009
- [j1]Cristiano Premebida, Oswaldo Ludwig, Urbano Nunes:
LIDAR and vision-based pedestrian detection system. J. Field Robotics 26(9): 696-711 (2009) - [c3]Cristiano Premebida, Oswaldo Ludwig, Urbano Nunes:
Exploiting LIDAR-based features on pedestrian detection in urban scenarios. ITSC 2009: 1-6 - 2007
- [c2]Cristiano Premebida, Gonçalo Monteiro, Urbano Nunes, Paulo Peixoto:
A Lidar and Vision-based Approach for Pedestrian and Vehicle Detection and Tracking. ITSC 2007: 1044-1049 - 2006
- [c1]Cristiano Premebida, Urbano Nunes:
A Multi-Target Tracking and GMM-Classifier for Intelligent Vehicles. ITSC 2006: 313-318
Coauthor Index
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last updated on 2024-11-08 20:30 CET by the dblp team
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