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Emanuel Aldea
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2020 – today
- 2024
- [j15]Ichraq Lemghari, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Jennifer Vandoni:
Robust classification with noisy labels using Venn-Abers predictors. J. Electronic Imaging 33(3) (2024) - [j14]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2027-2040 (2024) - [c40]Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea:
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. AAAI 2024: 6835-6843 - [c39]Stephane Da Silva Martins, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Leveraging Spatial Context for Improved Long-Term Predictions with Swin Transformers. AVSS 2024: 1-7 - [c38]Olivier Laurent, Emanuel Aldea, Gianni Franchi:
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. ICLR 2024 - 2023
- [j13]Alireza Rezaei, Emanuel Aldea, Piercarlo Dondi, Sylvie Le Hégarat-Mascle, Marco Malagodi:
Multi-Temporal Image Analysis for Preventive Conservation of Historical Musical Instruments. ACM Journal on Computing and Cultural Heritage 16(2): 35:1-35:19 (2023) - [i16]Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea:
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. CoRR abs/2308.09065 (2023) - [i15]Olivier Laurent, Emanuel Aldea, Gianni Franchi:
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. CoRR abs/2310.08287 (2023) - 2022
- [j12]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. IEEE Access 10: 7300-7312 (2022) - [j11]Alireza Rezaei, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Piercarlo Dondi, Marco Malagodi:
A-contrario framework for detection of alterations in varnished surfaces. J. Vis. Commun. Image Represent. 83: 103357 (2022) - [c37]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Ángel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat:
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. BMVC 2022: 398 - [c36]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat:
Latent Discriminant Deterministic Uncertainty. ECCV (12) 2022: 243-260 - [c35]Sylvie Le Hégarat-Mascle, Emanuel Aldea:
Spectral Analysis of Masked Signals in the Context of Image Inpainting. ICIAP Workshops (1) 2022: 105-114 - [c34]Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression. ICIP 2022: 1481-1485 - [e1]Sylvie Le Hégarat-Mascle, Isabelle Bloch, Emanuel Aldea:
Belief Functions: Theory and Applications - 7th International Conference, BELIEF 2022, Paris, France, October 26-28, 2022, Proceedings. Lecture Notes in Computer Science 13506, Springer 2022, ISBN 978-3-031-17800-9 [contents] - [i14]Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression. CoRR abs/2202.12369 (2022) - [i13]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat:
MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. CoRR abs/2203.01437 (2022) - [i12]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat:
Latent Discriminant deterministic Uncertainty. CoRR abs/2207.10130 (2022) - 2021
- [j10]Huiqin Chen, Sylvie Le Hégarat-Mascle, Emanuel Aldea:
Belief functions clustering for epipole localization. Int. J. Approx. Reason. 137: 146-165 (2021) - [c33]Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
SLURP: Side Learning Uncertainty for Regression Problems. BMVC 2021: 191 - [c32]Alireza Rezaei, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Piercarlo Dondi, Marco Malagodi:
Analysis of Multi-temporal Image Series for the Preventive Conservation of Varnished Wooden Surfaces. ISVC (1) 2021: 166-179 - [i11]Mai Lan Ha, Gianni Franchi, Emanuel Aldea, Volker Blanz:
Learning a Discriminant Latent Space with Neural Discriminant Analysis. CoRR abs/2107.06209 (2021) - [i10]Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
SLURP: Side Learning Uncertainty for Regression Problems. CoRR abs/2110.11182 (2021) - 2020
- [j9]Nicolas Lermé, Sylvie Le Hégarat-Mascle, Boyang Zhang, Emanuel Aldea:
Fast and efficient reconstruction of digitized frescoes. Pattern Recognit. Lett. 138: 417-423 (2020) - [c31]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
TRADI: Tracking Deep Neural Network Weight Distributions. ECCV (17) 2020: 105-121 - [c30]Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Camera Localization Based on Belief Clustering. FUSION 2020: 1-9 - [c29]Gianni Franchi, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Tracking Hundreds of People in Densely Crowded Scenes With Particle Filtering Supervising Deep Convolutional Neural Networks. ICIP 2020: 2071-2075 - [c28]Alireza Rezaei, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Piercarlo Dondi, Marco Malagodi:
One step clustering based on a-contrario framework for detection of alterations in historical violins. ICPR 2020: 9348-9355 - [c27]Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-Mascle, Vincent Despiegel:
Use of Scene Geometry Priors for Data Association in Egocentric Views. IWBF 2020: 1-6 - [i9]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
One Versus all for deep Neural Network Incertitude (OVNNI) quantification. CoRR abs/2006.00954 (2020) - [i8]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification. CoRR abs/2012.02818 (2020)
2010 – 2019
- 2019
- [j8]Sylvie Le Hégarat-Mascle, Emanuel Aldea, Jennifer Vandoni:
Efficient evaluation of the Number of False Alarm criterion. EURASIP J. Image Video Process. 2019: 35 (2019) - [j7]Jennifer Vandoni, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Evidential query-by-committee active learning for pedestrian detection in high-density crowds. Int. J. Approx. Reason. 104: 166-184 (2019) - [j6]Nicola Pellicanò, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Wide baseline pose estimation from video with a density-based uncertainty model. Mach. Vis. Appl. 30(6): 1041-1059 (2019) - [j5]Jennifer Vandoni, Sylvie Le Hégarat-Mascle, Emanuel Aldea:
Augmenting Deep Learning Performance in an Evidential Multiple Classifier System. Sensors 19(21): 4664 (2019) - [c26]Emanuel Aldea, Thomas Pollok, Chengchao Qu:
Constraining Relative Camera Pose Estimation with Pedestrian Detector-Based Correspondence Filters. AVSS 2019: 1-7 - [c25]Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Determining Epipole Location Integrity by Multimodal Sampling. AVSS 2019: 1-8 - [c24]Gianni Franchi, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Crowd Behavior Characterization for Scene Tracking. AVSS 2019: 1-8 - [c23]Jennifer Vandoni, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Evaluating Crowd Density Estimators Via Their Uncertainty Bounds. ICIP 2019: 4579-4583 - [c22]Huiqin Chen, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Integrating Visual and Geometric Consistency for Pose Estimation. MVA 2019: 1-5 - [i7]Jennifer Vandoni, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Evaluating Crowd Density Estimators via Their Uncertainty Bounds. CoRR abs/1902.02831 (2019) - [i6]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
TRADI: Tracking deep neural network weight distributions. CoRR abs/1912.11316 (2019) - 2018
- [j4]Marie Lachaize, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Aude Maitrot, Roger Reynaud:
Evidential framework for Error Correcting Output Code classification. Eng. Appl. Artif. Intell. 73: 10-21 (2018) - [j3]Marie Lachaize, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Aude Maitrot, Roger Reynaud:
Evidential split-and-merge: Application to object-based image analysis. Int. J. Approx. Reason. 103: 303-319 (2018) - [j2]Nicola Pellicanò, Sylvie Le Hégarat-Mascle, Emanuel Aldea:
2CoBel: A scalable belief function representation for 2D discernment frames. Int. J. Approx. Reason. 103: 320-342 (2018) - [c21]Alireza Rezaei, Nicola Pellicano, Emanuel Aldea:
GPU-accelerated Height Map Estimation with Local Geometry Priors in Large Scenes. AVSS 2018: 1-6 - [c20]Nicola Pellicano, Sylvie Le Hégarat-Mascle, Emanuel Aldea:
2CoBei: An Efficient Belief Function Extension for Two-Dimensional Continuous Spaces. FUSION 2018: 1032-1039 - [c19]Jennifer Vandoni, Sylvie Le Hégarat-Mascle, Emanuel Aldea:
Belief Function Definition for Ensemble Methods - Application to Pedestrian Detection in Dense Crowds. FUSION 2018: 2481-2488 - [i5]Nicola Pellicanò, Sylvie Le Hégarat-Mascle, Emanuel Aldea:
2CoBel : An Efficient Belief Function Extension for Two-dimensional Continuous Spaces. CoRR abs/1803.08857 (2018) - [i4]Sylvie Le Hégarat-Mascle, Emanuel Aldea, Jennifer Vandoni:
Efficient Evaluation of the Number of False Alarm Criterion. CoRR abs/1807.03594 (2018) - [i3]Nicola Pellicanò, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Geometry-Based Multiple Camera Head Detection in Dense Crowds. CoRR abs/1808.00856 (2018) - 2017
- [c18]Jennifer Vandoni, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
An evidential framework for pedestrian detection in high-density crowds. AVSS 2017: 1-6 - [c17]Jennifer Vandoni, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Active learning for high-density crowd count regression. AVSS 2017: 1-6 - [c16]Wafa Rekik, Sylvie Le Hégarat-Mascle, Emanuel Aldea:
A novel approach for multi-object tracking using evidential representation for objects. FUSION 2017: 1-8 - [c15]Marie Lachaize, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Aude Maitrot, Roger Reynaud:
Evidential multi-class classification from binary classifiers: application to waste sorting quality control from hyperspectral data. QCAV 2017: 103380V - 2016
- [c14]Marie Lachaize, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Aude Maitrot, Roger Reynaud:
SVM Classifier Fusion Using Belief Functions: Application to Hyperspectral Data Classification. BELIEF 2016: 113-122 - [c13]Dai-Duong Nguyen, Abdelhafid Elouardi, Emanuel Aldea, Samir Bouaziz:
HOOFR: An enhanced bio-inspired feature extractor. ICPR 2016: 2977-2982 - [c12]Nicola Pellicano, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Robust wide baseline pose estimation from video. ICPR 2016: 3820-3825 - [c11]Jennifer Vandoni, Sylvie Le Hégarat-Mascle, Emanuel Aldea:
Crack detection based on a Marked Point Process model. ICPR 2016: 3933-3938 - 2015
- [j1]Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Robust crack detection for unmanned aerial vehicles inspection in an a-contrario decision framework. J. Electronic Imaging 24(6): 061119 (2015) - 2014
- [c10]Emanuel Aldea, Davide Marastoni, Khurom H. Kiyani:
Spatio-Temporal Consistency for Head Detection in High-Density Scenes. ACCV Workshops (3) 2014: 665-679 - [c9]Emanuel Aldea, Khurom H. Kiyani:
Hybrid Focal Stereo Networks for Pattern Analysis in Homogeneous Scenes. ACCV Workshops (3) 2014: 695-710 - [c8]Gaspard Florentz, Emanuel Aldea:
SuperFAST: Model-based adaptive corner detection for scalable robotic vision. IROS 2014: 1003-1010 - 2013
- [i2]Emanuel Aldea, Khurom H. Kiyani:
Hybrid Focal Stereo Networks for Pattern Analysis in Homogeneous Scenes. CoRR abs/1308.0365 (2013) - 2012
- [c7]Nadege Zarrouati, Emanuel Aldea, Pierre Rouchon:
SO(3)-invariant asymptotic observers for dense depth field estimation based on visual data and known camera motion. ACC 2012: 4116-4123 - [c6]Nadege Zarrouati, Emanuel Aldea, Pierre Rouchon:
Robust depth regularization explicitly constrained by camera motion. ICPR 2012: 3606-3609 - 2011
- [c5]Nicolas Widynski, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Object Tracking based on Particle Filtering with Multiple Appearance Models. VISAPP 2011: 604-609 - [i1]Nadege Zarrouati, Emanuel Aldea, Pierre Rouchon:
A SO(3)-invariant variational method for depth field estimation based on inertial and camera data. CoRR abs/1103.2539 (2011)
2000 – 2009
- 2009
- [c4]Emanuel Aldea, Isabelle Bloch:
Toward a Better Integration of Spatial Relations in Learning with Graphical Models. EGC (best of volume) 2009: 77-94 - [c3]Emanuel Aldea, Isabelle Bloch:
Vers une utilisation améliorée de relations spatiales pour l'apprentissage de données dans les modèles graphiques. EGC 2009: 271-282 - 2007
- [c2]Emanuel Aldea, Jamal Atif, Isabelle Bloch:
Image Classification Using Marginalized Kernels for Graphs. GbRPR 2007: 103-113 - [c1]Emanuel Aldea, Geoffroy Fouquier, Jamal Atif, Isabelle Bloch:
Kernel Fusion for Image Classification Using Fuzzy Structural Information. ISVC (2) 2007: 307-317
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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