Image Classification Using Marginalized Kernels for Graphs. - Emanuel Aldea; Jamal Atif; Isabelle Bloch (GbRPR, 2007)

Kernel Fusion for Image Classification Using Fuzzy Structural Information. - Emanuel Aldea; Geoffroy Fouquier; Jamal Atif; Isabelle Bloch (ISVC (2), 2007)

Toward a Better Integration of Spatial Relations in Learning with Graphical Models. - Emanuel Aldea; Isabelle Bloch (EGC (best of volume), 2009)

Vers une utilisation améliorée de relations spatiales pour l'apprentissage de données dans les modèles graphiques. - Emanuel Aldea; Isabelle Bloch (EGC, 2009)

Object Tracking based on Particle Filtering with Multiple Appearance Models. - Nicolas Widynski; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (VISAPP, 2011)

A SO(3)-invariant variational method for depth field estimation based on inertial and camera data - Nadege Zarrouati; Emanuel Aldea; Pierre Rouchon (CoRR, 2011)

SO(3)-invariant asymptotic observers for dense depth field estimation based on visual data and known camera motion. - Nadege Zarrouati; Emanuel Aldea; Pierre Rouchon (ACC, 2012)

Robust depth regularization explicitly constrained by camera motion. - Nadege Zarrouati; Emanuel Aldea; Pierre Rouchon (ICPR, 2012)

Hybrid Focal Stereo Networks for Pattern Analysis in Homogeneous Scenes. - Emanuel Aldea; Khurom H. Kiyani (ACCV Workshops (3), 2014)

Spatio-Temporal Consistency for Head Detection in High-Density Scenes. - Emanuel Aldea; Davide Marastoni; Khurom H. Kiyani (ACCV Workshops (3), 2014)

SuperFAST: Model-based adaptive corner detection for scalable robotic vision. - Gaspard Florentz; Emanuel Aldea (IROS, 2014)

Robust crack detection for unmanned aerial vehicles inspection in an a-contrario decision framework. - Emanuel Aldea; Sylvie Le Hégarat-Mascle (J. Electronic Imaging, 2015)

SVM Classifier Fusion Using Belief Functions: Application to Hyperspectral Data Classification. - Marie Lachaize; Sylvie Le Hégarat-Mascle; Emanuel Aldea; Aude Maitrot; Roger Reynaud (BELIEF, 2016)

HOOFR: An enhanced bio-inspired feature extractor. - Dai-Duong Nguyen; Abdelhafid Elouardi; Emanuel Aldea; Samir Bouaziz (ICPR, 2016)

Robust wide baseline pose estimation from video. - Nicola Pellicano; Emanuel Aldea; Sylvie Le Hégarat-Mascle (ICPR, 2016)

Crack detection based on a Marked Point Process model. - Jennifer Vandoni; Sylvie Le Hégarat-Mascle; Emanuel Aldea (ICPR, 2016)

An evidential framework for pedestrian detection in high-density crowds. - Jennifer Vandoni; Emanuel Aldea; Sylvie Le Hégarat-Mascle (AVSS, 2017)

Active learning for high-density crowd count regression. - Jennifer Vandoni; Emanuel Aldea; Sylvie Le Hégarat-Mascle (AVSS, 2017)

A novel approach for multi-object tracking using evidential representation for objects. - Wafa Rekik; Sylvie Le Hégarat-Mascle; Emanuel Aldea (FUSION, 2017)

Evidential multi-class classification from binary classifiers: application to waste sorting quality control from hyperspectral data. - Marie Lachaize; Sylvie Le Hégarat-Mascle; Emanuel Aldea; Aude Maitrot; Roger Reynaud (QCAV, 2017)

GPU-accelerated Height Map Estimation with Local Geometry Priors in Large Scenes. - Alireza Rezaei 002; Nicola Pellicano; Emanuel Aldea (AVSS, 2018)

2CoBei: An Efficient Belief Function Extension for Two-Dimensional Continuous Spaces. - Nicola Pellicano; Sylvie Le Hégarat-Mascle; Emanuel Aldea (FUSION, 2018)

Belief Function Definition for Ensemble Methods - Application to Pedestrian Detection in Dense Crowds. - Jennifer Vandoni; Sylvie Le Hégarat-Mascle; Emanuel Aldea (FUSION, 2018)

2CoBel : An Efficient Belief Function Extension for Two-dimensional Continuous Spaces. - Nicola Pellicanò; Sylvie Le Hégarat-Mascle; Emanuel Aldea (CoRR, 2018)

Geometry-Based Multiple Camera Head Detection in Dense Crowds. - Nicola Pellicanò; Emanuel Aldea; Sylvie Le Hégarat-Mascle (CoRR, 2018)

Evidential framework for Error Correcting Output Code classification. - Marie Lachaize; Sylvie Le Hégarat-Mascle; Emanuel Aldea; Aude Maitrot; Roger Reynaud (Eng. Appl. Artif. Intell., 2018)

Evidential split-and-merge: Application to object-based image analysis. - Marie Lachaize; Sylvie Le Hégarat-Mascle; Emanuel Aldea; Aude Maitrot; Roger Reynaud (Int. J. Approx. Reason., 2018)

2CoBel: A scalable belief function representation for 2D discernment frames. - Nicola Pellicanò; Sylvie Le Hégarat-Mascle; Emanuel Aldea (Int. J. Approx. Reason., 2018)

Constraining Relative Camera Pose Estimation with Pedestrian Detector-Based Correspondence Filters. - Emanuel Aldea; Thomas Pollok; Chengchao Qu (AVSS, 2019)

Determining Epipole Location Integrity by Multimodal Sampling. - Huiqin Chen 001; Emanuel Aldea; Sylvie Le Hégarat-Mascle (AVSS, 2019)

Crowd Behavior Characterization for Scene Tracking. - Gianni Franchi; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (AVSS, 2019)

Evaluating Crowd Density Estimators Via Their Uncertainty Bounds. - Jennifer Vandoni; Emanuel Aldea; Sylvie Le Hégarat-Mascle (ICIP, 2019)

Integrating Visual and Geometric Consistency for Pose Estimation. - Huiqin Chen 001; Emanuel Aldea; Sylvie Le Hégarat-Mascle (MVA, 2019)

Efficient evaluation of the Number of False Alarm criterion. - Sylvie Le Hégarat-Mascle; Emanuel Aldea; Jennifer Vandoni (EURASIP J. Image Video Process., 2019)

Evidential query-by-committee active learning for pedestrian detection in high-density crowds. - Jennifer Vandoni; Emanuel Aldea; Sylvie Le Hégarat-Mascle (Int. J. Approx. Reason., 2019)

Wide baseline pose estimation from video with a density-based uncertainty model. - Nicola Pellicanò; Emanuel Aldea; Sylvie Le Hégarat-Mascle (Mach. Vis. Appl., 2019)

Augmenting Deep Learning Performance in an Evidential Multiple Classifier System. - Jennifer Vandoni; Sylvie Le Hégarat-Mascle; Emanuel Aldea (Sensors, 2019)

TRADI: Tracking Deep Neural Network Weight Distributions. - Gianni Franchi; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (ECCV (17), 2020)

Camera Localization Based on Belief Clustering. - Huiqin Chen 001; Emanuel Aldea; Sylvie Le Hégarat-Mascle (FUSION, 2020)

Tracking Hundreds of People in Densely Crowded Scenes With Particle Filtering Supervising Deep Convolutional Neural Networks. - Gianni Franchi; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (ICIP, 2020)

One step clustering based on a-contrario framework for detection of alterations in historical violins. - Alireza Rezaei 002; Sylvie Le Hégarat-Mascle; Emanuel Aldea; Piercarlo Dondi; Marco Malagodi (ICPR, 2020)

Use of Scene Geometry Priors for Data Association in Egocentric Views. - Huiqin Chen 001; Emanuel Aldea; Sylvie Le Hégarat-Mascle; Vincent Despiegel (IWBF, 2020)

One Versus all for deep Neural Network Incertitude (OVNNI) quantification. - Gianni Franchi; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (CoRR, 2020)

Fast and efficient reconstruction of digitized frescoes. - Nicolas Lermé; Sylvie Le Hégarat-Mascle; Boyang Zhang; Emanuel Aldea (Pattern Recognit. Lett., 2020)

SLURP: Side Learning Uncertainty for Regression Problems. - Xuanlong Yu; Gianni Franchi; Emanuel Aldea (BMVC, 2021)

Analysis of Multi-temporal Image Series for the Preventive Conservation of Varnished Wooden Surfaces. - Alireza Rezaei 002; Sylvie Le Hégarat-Mascle; Emanuel Aldea; Piercarlo Dondi; Marco Malagodi (ISVC (1), 2021)

Learning a Discriminant Latent Space with Neural Discriminant Analysis. - Mai Lan Ha; Gianni Franchi; Emanuel Aldea; Volker Blanz (CoRR, 2021)

Belief functions clustering for epipole localization. - Huiqin Chen 001; Sylvie Le Hégarat-Mascle; Emanuel Aldea (Int. J. Approx. Reason., 2021)

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Ángel Tena; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (BMVC, 2022)

Latent Discriminant Deterministic Uncertainty. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; David Filliat (ECCV (12), 2022)

Spectral Analysis of Masked Signals in the Context of Image Inpainting. - Sylvie Le Hégarat-Mascle; Emanuel Aldea (ICIAP Workshops (1), 2022)

On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression. - Xuanlong Yu; Gianni Franchi; Emanuel Aldea (ICIP, 2022)

One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. - Gianni Franchi; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (IEEE Access, 2022)

MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (CoRR, 2022)

A-contrario framework for detection of alterations in varnished surfaces. - Alireza Rezaei 002; Sylvie Le Hégarat-Mascle; Emanuel Aldea; Piercarlo Dondi; Marco Malagodi (J. Vis. Commun. Image Represent., 2022)

Multi-Temporal Image Analysis for Preventive Conservation of Historical Musical Instruments. - Alireza Rezaei 002; Emanuel Aldea; Piercarlo Dondi; Sylvie Le Hégarat-Mascle; Marco Malagodi (ACM Journal on Computing and Cultural Heritage, 2023)

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. - Xuanlong Yu; Gianni Franchi; Jindong Gu; Emanuel Aldea (AAAI, 2024)

Leveraging Spatial Context for Improved Long-Term Predictions with Swin Transformers. - Stephane Da Silva Martins; Emanuel Aldea; Sylvie Le Hégarat-Mascle (AVSS, 2024)

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. - Olivier Laurent 002; Emanuel Aldea; Gianni Franchi (ICLR, 2024)

ICPR 2024 Competition on Domain Adaptation and GEneralization for Character Classification (DAGECC). - Sofia Marino; Jennifer Vandoni; Emanuel Aldea; Ichraq Lemghari; Sylvie Le Hégarat-Mascle; Frédéric Jurie (ICPR (34), 2024)

Training Data Generation Strategies for Data-driven Security Assessment of Low Voltage Smart Grids. - Juan J. Cuenca; Emanuel Aldea; Eloann Le Guern-Dall'o; Raphaël Féraud; Guy Camilleri; Anne Blavette (ISGT EUROPE, 2024)

Robust classification with noisy labels using Venn-Abers predictors. - Ichraq Lemghari; Sylvie Le Hégarat-Mascle; Emanuel Aldea; Jennifer Vandoni (J. Electronic Imaging, 2024)

Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification. - Gianni Franchi; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Dataset for Training and Testing Data-driven Security Assessment of the IEEE ELVTN. - Juan J. Cuenca; Emanuel Aldea; Guy Camilleri; Anne Blavette (IEEE DataPort, 2024)

Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior. - Anthony Nguyen; Emanuel Aldea; Sylvie Le Hégarat-Mascle; Renaud Lustrat (UAI, 2025)

Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review. - Céline Finet; Stephane Da Silva Martins; Jean-Bernard Hayet; Ioannis Karamouzas; Javad Amirian; Sylvie Le Hégarat-Mascle; Julien Pettré; Emanuel Aldea (CoRR, 2025)