Emanuel Aldea

Orcid: 0000-0001-7065-4809

According to our database1, Emanuel Aldea authored at least 61 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Robust classification with noisy labels using Venn-Abers predictors.
J. Electronic Imaging, 2024

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Leveraging Spatial Context for Improved Long-Term Predictions with Swin Transformers.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-Temporal Image Analysis for Preventive Conservation of Historical Musical Instruments.
ACM Journal on Computing and Cultural Heritage, June, 2023

2022
A-contrario framework for detection of alterations in varnished surfaces.
J. Vis. Commun. Image Represent., 2022

MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks.
CoRR, 2022

One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification.
IEEE Access, 2022

On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Spectral Analysis of Masked Signals in the Context of Image Inpainting.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Latent Discriminant Deterministic Uncertainty.
Proceedings of the Computer Vision - ECCV 2022, 2022

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Belief functions clustering for epipole localization.
Int. J. Approx. Reason., 2021

Learning a Discriminant Latent Space with Neural Discriminant Analysis.
CoRR, 2021

Analysis of Multi-temporal Image Series for the Preventive Conservation of Varnished Wooden Surfaces.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

SLURP: Side Learning Uncertainty for Regression Problems.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Fast and efficient reconstruction of digitized frescoes.
Pattern Recognit. Lett., 2020

One Versus all for deep Neural Network Incertitude (OVNNI) quantification.
CoRR, 2020

Use of Scene Geometry Priors for Data Association in Egocentric Views.
Proceedings of the 8th International Workshop on Biometrics and Forensics, 2020

One step clustering based on a-contrario framework for detection of alterations in historical violins.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Tracking Hundreds of People in Densely Crowded Scenes With Particle Filtering Supervising Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Image Processing, 2020

Camera Localization Based on Belief Clustering.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

TRADI: Tracking Deep Neural Network Weight Distributions.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Augmenting Deep Learning Performance in an Evidential Multiple Classifier System.
Sensors, 2019

Wide baseline pose estimation from video with a density-based uncertainty model.
Mach. Vis. Appl., 2019

Evidential query-by-committee active learning for pedestrian detection in high-density crowds.
Int. J. Approx. Reason., 2019

Efficient evaluation of the Number of False Alarm criterion.
EURASIP J. Image Video Process., 2019

Integrating Visual and Geometric Consistency for Pose Estimation.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Evaluating Crowd Density Estimators Via Their Uncertainty Bounds.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Crowd Behavior Characterization for Scene Tracking.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

Determining Epipole Location Integrity by Multimodal Sampling.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

Constraining Relative Camera Pose Estimation with Pedestrian Detector-Based Correspondence Filters.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018
2CoBel: A scalable belief function representation for 2D discernment frames.
Int. J. Approx. Reason., 2018

Evidential split-and-merge: Application to object-based image analysis.
Int. J. Approx. Reason., 2018

Evidential framework for Error Correcting Output Code classification.
Eng. Appl. Artif. Intell., 2018

Geometry-Based Multiple Camera Head Detection in Dense Crowds.
CoRR, 2018

2CoBel : An Efficient Belief Function Extension for Two-dimensional Continuous Spaces.
CoRR, 2018

Belief Function Definition for Ensemble Methods - Application to Pedestrian Detection in Dense Crowds.
Proceedings of the 21st International Conference on Information Fusion, 2018

2CoBei: An Efficient Belief Function Extension for Two-Dimensional Continuous Spaces.
Proceedings of the 21st International Conference on Information Fusion, 2018

GPU-accelerated Height Map Estimation with Local Geometry Priors in Large Scenes.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017
Evidential multi-class classification from binary classifiers: application to waste sorting quality control from hyperspectral data.
Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017

A novel approach for multi-object tracking using evidential representation for objects.
Proceedings of the 20th International Conference on Information Fusion, 2017

Active learning for high-density crowd count regression.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

An evidential framework for pedestrian detection in high-density crowds.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016
Crack detection based on a Marked Point Process model.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Robust wide baseline pose estimation from video.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

HOOFR: An enhanced bio-inspired feature extractor.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

SVM Classifier Fusion Using Belief Functions: Application to Hyperspectral Data Classification.
Proceedings of the Belief Functions: Theory and Applications, 2016

2015
Robust crack detection for unmanned aerial vehicles inspection in an a-contrario decision framework.
J. Electronic Imaging, 2015

2014
SuperFAST: Model-based adaptive corner detection for scalable robotic vision.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Spatio-Temporal Consistency for Head Detection in High-Density Scenes.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

Hybrid Focal Stereo Networks for Pattern Analysis in Homogeneous Scenes.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2012
Robust depth regularization explicitly constrained by camera motion.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

SO(3)-invariant asymptotic observers for dense depth field estimation based on visual data and known camera motion.
Proceedings of the American Control Conference, 2012

2011
A SO(3)-invariant variational method for depth field estimation based on inertial and camera data
CoRR, 2011

Object Tracking based on Particle Filtering with Multiple Appearance Models.
Proceedings of the VISAPP 2011, 2011

2009
Vers une utilisation améliorée de relations spatiales pour l'apprentissage de données dans les modèles graphiques.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Toward a Better Integration of Spatial Relations in Learning with Graphical Models.
Proceedings of the Advances in Knowledge Discovery and Management [Best of EGC 2009, 2009

2007
Kernel Fusion for Image Classification Using Fuzzy Structural Information.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Image Classification Using Marginalized Kernels for Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007


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