Joint Tracking and Segmentation of Objects Using Graph Cuts. - Aurélie Bugeau; Patrick Pérez (ACIVS, 2007)

Detection and segmentation of moving objects in highly dynamic scenes. - Aurélie Bugeau; Patrick Pérez (CVPR, 2007)

Bandwidth selection for kernel estimation in mixed multi-dimensional spaces - Aurélie Bugeau; Patrick Pérez (CoRR, 2007)

Détection et suivi d'objets en mouvement dans des scenes complexes, application a la surveillance des conducteurs. - Aurélie Bugeau (2007)

Track and Cut: Simultaneous Tracking and Segmentation of Multiple Objects with Graph Cuts. - Aurélie Bugeau; Patrick Pérez (EURASIP J. Image Video Process., 2008)

Combining Texture Synthesis and Diffusion for Image Inpainting. - Aurélie Bugeau; Marcelo Bertalmío (VISAPP (1), 2009)

Detection and segmentation of moving objects in complex scenes. - Aurélie Bugeau; Patrick Pérez (Comput. Vis. Image Underst., 2009)

Stereoscopic Image Inpainting: Distinct Depth Maps and Images Inpainting. - Alexandre Hervieu; Nicolas Papadakis; Aurélie Bugeau; Pau Gargallo; Vicent Caselles (ICPR, 2010)

Coherent Background Video Inpainting through Kalman Smoothing along Trajectories. - Aurélie Bugeau; Pau Gargallo; Olivier D'Hondt; Alexandre Hervieu; Nicolas Papadakis; Vicent Caselles (VMV, 2010)

A Comprehensive Framework for Image Inpainting. - Aurélie Bugeau; Marcelo Bertalmío; Vicent Caselles; Guillermo Sapiro (IEEE Trans. Image Process., 2010)

Temporally Consistent Gradient Domain Video Editing. - Gabriele Facciolo; Rida Sadek; Aurélie Bugeau; Vicent Caselles (EMMCVPR, 2011)

Stereoscopic image inpainting using scene geometry. - Alexandre Hervieu; Nicolas Papadakis; Aurélie Bugeau; Pau Gargallo; Vicent Caselles (ICME, 2011)

Tracking with Occlusions via Graph Cuts. - Nicolas Papadakis; Aurélie Bugeau (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Patch-based image colorization. - Aurélie Bugeau; Vinh-Thong Ta 002 (ICPR, 2012)

Multi-layer Local Graph Words for Object Recognition. - Svebor Karaman; Jenny Benois-Pineau; Rémi Mégret; Aurélie Bugeau (MMM, 2012)

Virtual camera synthesis for soccer game replays. - Nicolas Papadakis; Antonio Baeza; Aurélie Bugeau; Pau Gargallo; Olivier D'Hondt; Vicent Caselles; Xavier Armangué; Ignasi Rius; Sergi Sagàs (J. Virtual Real. Broadcast., 2012)

A Unified Model for Image Colorization. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Vinh-Thong Ta 002 (ECCV Workshops (3), 2014)

Exemplar-based colorization in RGB color space. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Nicolas Papadakis; Vinh-Thong Ta 002 (ICIP, 2014)

A Comparative Study of Irregular Pyramid Matching in Bag-of-Bags of Words Model for Image Retrieval. - Yi Ren; Jenny Benois-Pineau; Aurélie Bugeau (ICISP, 2014)

Bag-of-bags of words - Irregular graph pyramids vs spatial pyramid matching for image retrieval. - Yi Ren; Aurélie Bugeau; Jenny Benois-Pineau (IPTA, 2014)

Variational Exemplar-Based Image Colorization. - Aurélie Bugeau; Vinh-Thong Ta 002; Nicolas Papadakis (IEEE Trans. Image Process., 2014)

Synthetic Evidential Study as Augmented Collective Thought Process - Preliminary Report. - Toyoaki Nishida; Masakazu Abe; Takashi Ookaki; Divesh Lala; Sutasinee Thovutikul; Hengjie Song; Yasser F. O. Mohammad; Christian Nitschke; Yoshimasa Ohmoto; Atsushi Nakazawa; Takaaki Shochi; Jean-Luc Rouas; et al. (ACIIDS (1), 2015)

Facial Action Units intensity estimation by the fusion of features with multi-kernel Support Vector Machine. - Zuheng Ming; Aurélie Bugeau; Jean-Luc Rouas; Takaaki Shochi (FG, 2015)

Face de-identification with expressions preservation. - Geoffrey Letournel; Aurélie Bugeau; Vinh-Thong Ta 002; Jean-Philippe Domenger (ICIP, 2015)

Luminance-Hue Specification in the RGB Space. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Vinh-Thong Ta 002 (SSVM, 2015)

Luminance-Chrominance Model for Image Colorization. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Nicolas Papadakis; Vinh-Thong Ta 002 (SIAM J. Imaging Sci., 2015)

Visibility estimation and joint inpainting of lidar depth maps. - Marco Bevilacqua; Jean-François Aujol; Mathieu Brédif; Aurélie Bugeau (ICIP, 2016)

Hue-preserving perceptual contrast enhancement. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Gabriele Steidl; Vinh-Thong Ta 002 (ICIP, 2016)

Variational Contrast Enhancement of Gray-Scale and RGB Images. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Gabriele Steidl; Vinh-Thong Ta 002 (J. Math. Imaging Vis., 2017)

Interactive Video Colorization Within a Variational Framework. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Vinh-Thong Ta 002 (SIAM J. Imaging Sci., 2017)

SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches. - Rémi Giraud; Vinh-Thong Ta 002; Aurélie Bugeau; Pierrick Coupé; Nicolas Papadakis (IEEE Trans. Image Process., 2017)

Patch-based models for image post-production. - Aurélie Bugeau (2018)

LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. - Pierre Biasutti; Vincent Lepetit; Jean-François Aujol; Mathieu Brédif; Aurélie Bugeau (ICCV Workshops, 2019)

Visibility Estimation in Point Clouds with Variable Density. - Pierre Biasutti; Aurélie Bugeau; Jean-François Aujol; Mathieu Brédif (VISIGRAPP (4: VISAPP), 2019)

RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud. - Pierre Biasutti; Aurélie Bugeau; Jean-François Aujol; Mathieu Brédif (CoRR, 2019)

A multi-task U-net for segmentation with lazy labels. - Rihuan Ke; Aurélie Bugeau; Nicolas Papadakis; Peter Schütz; Carola-Bibiane Schönlieb (CoRR, 2019)

Diffusion and inpainting of reflectance and height LiDAR orthoimages. - Pierre Biasutti; Jean-François Aujol; Mathieu Brédif; Aurélie Bugeau (Comput. Vis. Image Underst., 2019)

3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings. - Giorgia Pitteri; Aurélie Bugeau; Slobodan Ilic; Vincent Lepetit (ACCV (1), 2020)

Learning to Segment Microscopy Images with Lazy Labels. - Rihuan Ke; Aurélie Bugeau; Nicolas Papadakis; Peter Schütz; Carola-Bibiane Schönlieb (ECCV Workshops (1), 2020)

Variational Osmosis for Non-Linear Image Fusion. - Simone Parisotto; Luca Calatroni; Aurélie Bugeau; Nicolas Papadakis; Carola-Bibiane Schönlieb (IEEE Trans. Image Process., 2020)

Where Are My Clothes? A Multi-Level Approach for Evaluating Deep Instance Segmentation Architectures on Fashion Images. - Warren Jouanneau; Aurélie Bugeau; Marc Palyart; Nicolas Papadakis; Laurent Vézard (CVPR Workshops, 2021)

Unraveling the hidden environmental impacts of AI solutions for environment. - Anne-Laure Ligozat; Julien Lefèvre; Aurélie Bugeau; Jacques Combaz (CoRR, 2021)

Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. - Rihuan Ke; Aurélie Bugeau; Nicolas Papadakis; Mark Kirkland; Peter Schütz; Carola-Bibiane Schönlieb (IEEE Trans. Image Process., 2021)

Super-Attention for Exemplar-Based Image Colorization. - Hernan Carrillo; Michaël Clément; Aurélie Bugeau (ACCV (2), 2022)

How to Integrate Environmental Challenges in Computing Curricula? - Anne-Laure Ligozat; Kevin Marquet; Aurélie Bugeau; Julien Lefèvre; Pierre Boulet; Sylvain Bouveret; Philippe Marquet; Olivier Ridoux; Olivier Michel 001 (SIGCSE (1), 2022)

Non-local Matching of Superpixel-based Deep Features for Color Transfer. - Hernan Carrillo; Michaël Clément; Aurélie Bugeau (VISIGRAPP (4: VISAPP), 2022)

Influence of Color Spaces for Deep Learning Image Colorization. - Coloma Ballester; Aurélie Bugeau; Hernan Carrillo; Michaël Clément; Rémi Giraud; Lara Raad; Patricia Vitoria (CoRR, 2022)

Analysis of Different Losses for Deep Learning Image Colorization. - Coloma Ballester; Aurélie Bugeau; Hernan Carrillo; Michaël Clément; Rémi Giraud; Lara Raad; Patricia Vitoria (CoRR, 2022)

An Analysis of Generative Methods for Multiple Image Inpainting. - Coloma Ballester; Aurélie Bugeau; Samuel Hurault; Simone Parisotto; Patricia Vitoria (CoRR, 2022)

A patch-based architecture for multi-label classification from single label annotations. - Warren Jouanneau; Aurélie Bugeau; Marc Palyart; Nicolas Papadakis; Laurent Vézard (CoRR, 2022)

Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models. - Hernan Carrillo; Michaël Clément; Aurélie Bugeau; Edgar Simo-Serra (CVPR Workshops, 2023)

Assessing VoD Pressure on Network Power Consumption. - Gaël Guennebaud; Aurélie Bugeau; Antoine Dudouit (ICT4S, 2023)

A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations. - Warren Jouanneau; Aurélie Bugeau; Marc Palyart; Nicolas Papadakis; Laurent Vézard (VISIGRAPP (5: VISAPP), 2023)

How to estimate carbon footprint when training deep learning models? A guide and review. - Lucia Bouza Heguerte; Aurélie Bugeau; Loïc Lannelongue (CoRR, 2023)

How digital will the future be? Analysis of prospective scenarios. - Aurélie Bugeau; Anne-Laure Ligozat (CoRR, 2023)

Estimating The Carbon Footprint Of Digital Agriculture Deployment: A Parametric Bottom-Up Modelling Approach. - Pierre La Rocca; Gaël Guennebaud; Aurélie Bugeau; Anne-Laure Ligozat (CoRR, 2024)

To what extent can current French mobile network support agricultural robots? - Pierre La Rocca; Gaël Guennebaud; Aurélie Bugeau (CoRR, 2025)