Realtime head and hands tracking by monocular vision. - Antoine Vacavant; Thierry Chateau (ICIP (2), 2005)

Topological and Geometrical Reconstruction of Complex Objects on Irregular Isothetic Grids. - Antoine Vacavant; David Coeurjolly; Laure Tougne (DGCI, 2006)

Dynamic Reconstruction of Complex Planar Objects on Irregular Isothetic Grids. - Antoine Vacavant; David Coeurjolly; Laure Tougne (ISVC (2), 2006)

A Combined Statistical-Structural Strategy for Alphanumeric Recognition. - Nicolas Thome; Antoine Vacavant (ISVC (2), 2007)

Distance Transformation on Two-Dimensional Irregular Isothetic Grids. - Antoine Vacavant; David Coeurjolly; Laure Tougne (DGCI, 2008)

A Novel Algorithm for Distance Transformation on Irregular Isothetic Grids. - Antoine Vacavant; David Coeurjolly; Laure Tougne (DGCI, 2009)

Medial Axis Extraction on Irregular Isothetic Grids. - Antoine Vacavant; David Coeurjolly (IWCIA Special Track on Applications, 2009)

A framework for dynamic implicit curve approximation by an irregular discrete approach. - Antoine Vacavant; David Coeurjolly; Laure Tougne (Graph. Model., 2009)

A benchmark for Background Subtraction Algorithms in monocular vision: A comparative study. - Yoann Dhome; N. Tronson; Antoine Vacavant; Thierry Chateau; Christophe Gabard; Yann Goyat; Dominique Gruyer (IPTA, 2010)

Fast distance transformation on irregular two-dimensional grids. - Antoine Vacavant (Pattern Recognit., 2010)

Guiding Active Contours for Tree Leaf Segmentation and Identification. - Guillaume Cerutti; Laure Tougne; Julien Mille; Antoine Vacavant; Didier Coquin (CLEF (Notebook Papers/Labs/Workshop), 2011)

A Parametric Active Polygon for Leaf Segmentation and Shape Estimation. - Guillaume Cerutti; Laure Tougne; Antoine Vacavant; Didier Coquin (ISVC (1), 2011)

Unsupervised Polygonal Reconstruction of Noisy Contours by a Discrete Irregular Approach. - Antoine Vacavant; Tristan Roussillon; Bertrand Kerautret (IWCIA, 2011)

Adaptive Background Subtraction in H.264/AVC Bitstreams based on Macroblock Sizes. - Antoine Vacavant; Lionel Robinault; Serge Miguet; Chris Poppe; Rik Van de Walle (VISAPP, 2011)

A cognitive and video-based approach for multinational License Plate Recognition. - Nicolas Thome; Antoine Vacavant; Lionel Robinault; Serge Miguet (Mach. Vis. Appl., 2011)

Separable algorithms for distance transformations on irregular grids. - Antoine Vacavant; David Coeurjolly; Laure Tougne (Pattern Recognit. Lett., 2011)

A Benchmark Dataset for Outdoor Foreground/Background Extraction. - Antoine Vacavant; Thierry Chateau; Alexis Wilhelm; Laurent Lequievre (ACCV Workshops (1), 2012)

ReVeS Participation - Tree Species Classification Using Random Forests and Botanical Features. - Guillaume Cerutti; Violaine Antoine; Laure Tougne; Julien Mille; Lionel Valet; Didier Coquin; Antoine Vacavant (CLEF (Online Working Notes/Labs/Workshop), 2012)

Fast smoothed shock filtering. - Antoine Vacavant; Adelaide Albouy-Kissi; Pierre-Yves Menguy; Justin Solomon 001 (ICPR, 2012)

Late Information Fusion for Multi-modality Plant Species Identification. - Guillaume Cerutti; Laure Tougne; Céline Sacca; Thierry Joliveau; Pierre-Olivier Mazagol; Didier Coquin; Antoine Vacavant (CLEF (Working Notes), 2013)

Arc Recognition on Irregular Isothetic Grids and Its Application to Reconstruction of Noisy Digital Contours. - Jean-Luc Toutant; Antoine Vacavant; Bertrand Kerautret (DGCI, 2013)

A model-based approach for compound leaves understanding and identification. - Guillaume Cerutti; Laure Tougne; Julien Mille; Antoine Vacavant; Didier Coquin (ICIP, 2013)

Comparative study of segmentation methods for tree leaves extraction. - Manuel Grand-Brochier; Antoine Vacavant; Guillaume Cerutti; Kevin Bianchi; Laure Tougne (VIGTA@ICVS, 2013)

Curvature-Scale-based Contour Understanding for Leaf Margin Shape Recognition and Species Identification. - Guillaume Cerutti; Laure Tougne; Didier Coquin; Antoine Vacavant (VISAPP (1), 2013)

Understanding leaves in natural images - A model-based approach for tree species identification. - Guillaume Cerutti; Laure Tougne; Julien Mille; Antoine Vacavant; Didier Coquin (Comput. Vis. Image Underst., 2013)

A combined multi-scale/irregular algorithm for the vectorization of noisy digital contours. - Antoine Vacavant; Tristan Roussillon; Bertrand Kerautret; Jacques-Olivier Lachaud (Comput. Vis. Image Underst., 2013)

About the Maximum Cardinality of the Digital Cover of a Curve with a Given Length. - Yan Gerard; Antoine Vacavant (DGCI, 2014)

Joint Learning for Multi-class Object Detection. - Hamidreza Odabai Fard; Mohamed Chaouch; Quoc Cuong Pham; Antoine Vacavant; Thierry Chateau (VISAPP (2), 2014)

About the Impact of Pre-processing Tools on Segmentation Methods - Applied for Tree Leaves Extraction. - Manuel Grand-Brochier; Antoine Vacavant; Robin Strand; Guillaume Cerutti; Laure Tougne (VISAPP (1), 2014)

Joint hierarchical learning for efficient multi-class object detection. - Hamidreza Odabai Fard; Mohamed Chaouch; Quoc Cuong Pham; Antoine Vacavant; Thierry Chateau (WACV, 2014)

A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos. - Andrews Sobral; Antoine Vacavant (Comput. Vis. Image Underst., 2014)

Special section on background models comparison. - Antoine Vacavant; Laure Tougne; Lionel Robinault; Thierry Chateau (Comput. Vis. Image Underst., 2014)

Leaf margins as sequences: A structural approach to leaf identification. - Guillaume Cerutti; Laure Tougne; Didier Coquin; Antoine Vacavant (Pattern Recognit. Lett., 2014)

Smoothed shock filtered defuzzification with Zernike moments for liver tumor extraction in MR images. - Antoine Vacavant; Abder-Rahman Ali; Manuel Grand-Brochier; Adelaide Albouy-Kissi; Agaicha Alfidja; Pascal Chabrot; Jean-Yves Boire (IPTA, 2015)

Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods. - Manuel Grand-Brochier; Antoine Vacavant; Guillaume Cerutti; Camille Kurtz; Jonathan Weber; Laure Tougne (IEEE Trans. Image Process., 2015)

Robust Computations of Reeb Graphs in 2-D Binary Images. - Antoine Vacavant; Aurélie Leborgne (CTIC, 2016)

A Novel Definition of Robustness for Image Processing Algorithms. - Antoine Vacavant (RRPR@ICPR, 2016)

Tight bounds in the quadtree complexity theorem and the maximal number of pixels crossed by a curve of given length. - Yan Gérard; Antoine Vacavant; Jean-Marie Favreau (Theor. Comput. Sci., 2016)

Greyscale Image Vectorization from Geometric Digital Contour Representations. - Bertrand Kerautret; Phuc Ngo 001; Yukiko Kenmochi; Antoine Vacavant (DGCI, 2017)

Reconstructions of Noisy Digital Contours with Maximal Primitives Based on Multi-scale/Irregular Geometric Representation and Generalized Linear Programming. - Antoine Vacavant; Bertrand Kerautret; Tristan Roussillon; Fabien Feschet (DGCI, 2017)

Medical Image Processing and Numerical Simulation for Digital Hepatic Parenchymal Blood Flow. - Marie-Ange Lèbre; Khaled Arrouk; Anh-Khoa Võ Van; Aurélie Leborgne; Manuel Grand-Brochier; Pierre Beaurepaire; Antoine Vacavant; Benoît Magnin; Armand Abergel; Pascal Chabrot (SASHIMI@MICCAI, 2017)

An Ontological Model for Analyzing Liver Cancer Medical Reports. - Rim Messaoudi; Taher Labidi; Antoine Vacavant; Faïez Gargouri; Manuel Grand-Brochier; Ali Amouri; Hela Fourati; Achraf Mtibaa; Faouzi Jaziri (EMCIS, 2018)

U-CatcHCC: An Accurate HCC Detector in Hepatic DCE-MRI Sequences Based on an U-Net Framework. - Anna Fabijanska; Antoine Vacavant; Marie-Ange Lèbre; Ana Luiza Menegatti Pavan; Diana Rodrigues de Pina; Armand Abergel; Pascal Chabrot; Benoît Magnin (ICCVG, 2018)

Automatic 3-D Skeleton-Based Segmentation of Liver Vessels from MRI and CT for Couinaud Representation. - Marie-Ange Lèbre; Antoine Vacavant; Manuel Grand-Brochier; Odyssée Merveille; Pascal Chabrot; Armand Abergel; Benoît Magnin (ICIP, 2018)

Enhancement of breast periphery region in digital mammography. - Ana Luiza Menegatti Pavan; Antoine Vacavant; Andre Petean Trindade; Caio Cesar Quini; Diana Rodrigues de Pina (Image Processing, 2018)

New Definition of Quality-Scale Robustness for Image Processing Algorithms, with Generalized Uncertainty Modeling, Applied to Denoising and Segmentation. - Antoine Vacavant; Marie-Ange Lèbre; Hugo Rositi; Manuel Grand-Brochier; Robin Strand (RRPR, 2018)

A parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification. - Ana Luiza Menegatti Pavan; Marwa Benabdallah; Marie-Ange Lèbre; Diana Rodrigues de Pina; Faouzi Jaziri; Antoine Vacavant; Achraf Mtibaa; Hawa Mohamed Ali; Manuel Grand-Brochier; Hugo Rositi; Benoît Magnin; Armand Abergel; et al. (SAC, 2018)

Improving texture extraction and classification using smoothed morphological operators. - Mariane Barros Neiva; Antoine Vacavant; Odemir Martinez Bruno (Digit. Signal Process., 2018)

Automatic segmentation methods for liver and hepatic vessels from CT and MRI volumes, applied to the Couinaud scheme. - Marie-Ange Lèbre; Antoine Vacavant; Manuel Grand-Brochier; Hugo Rositi; Armand Abergel; Pascal Chabrot; Benoît Magnin (Comput. Biol. Medicine, 2019)

A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities. - Marie-Ange Lèbre; Antoine Vacavant; Manuel Grand-Brochier; Hugo Rositi; Robin Strand; Hubert Rosier; Armand Abergel; Pascal Chabrot; Benoît Magnin (Comput. Medical Imaging Graph., 2019)

Ontology-Based Approach for Liver Cancer Diagnosis and Treatment. - Rim Messaoudi; Faouzi Jaziri; Achraf Mtibaa; Manuel Grand-Brochier; Hawa Mohamed Ali; Ali Amouri; Hela Fourati; Pascal Chabrot; Faïez Gargouri; Antoine Vacavant (J. Digit. Imaging, 2019)

Vesselness Filters: A Survey with Benchmarks Applied to Liver Imaging. - Jonas Lamy; Odyssée Merveille; Bertrand Kerautret; Nicolas Passat; Antoine Vacavant (ICPR, 2020)

A Novel Deep Learning Approach for Liver MRI Classification and HCC Detection. - Rim Messaoudi; Faouzi Jaziri; Antoine Vacavant; Achraf Mtibaa; Faïez Gargouri (ICPRAI, 2020)

Literature Review of Deep Learning Models for Liver Vessels Reconstruction. - Abir Affane; Marie-Ange Lèbre; Utkarsh Mittal; Antoine Vacavant (IPTA, 2020)

A Time-Dependent Joint Segmentation and Registration Model: Application to Longitudinal Registration of Hepatic DCE-MRI Sequences. - Noémie Debroux; Guillaume Lienemann; Benoît Magnin; Carole Le Guyader; Antoine Vacavant (IPTA, 2020)

Ontologies for Liver Diseases Representation: A Systematic Literature Review. - Rim Messaoudi; Achraf Mtibaa; Antoine Vacavant; Faïez Gargouri; Faouzi Jaziri (J. Digit. Imaging, 2020)

Editorial - Virtual Special Issue: "Hierarchical Representations: New Results and Challenges for Image Analysis". - Nicolas Passat; Camille Kurtz; Antoine Vacavant (Pattern Recognit. Lett., 2020)

Learning a reconnecting regularization term for blood vessel variational segmentation. - Sophie Carneiro Esteves; Antoine Vacavant; Odyssée Merveille (BHI, 2021)

Segment- and Arc-Based Vectorizations by Multi-scale/Irregular Tangential Covering. - Antoine Vacavant; Bertrand Kerautret; Fabien Feschet (ISGV, 2021)

ORVIPO: An Ontological Prototype for Modeling 3D Scenes in Operating Rooms. - Faouzi Jaziri; Rim Messaoudi; Achraf Mtibaa; Jonathan Courbon; Mahdi Kilani; Mohamed Mhiri 001; Antoine Vacavant (KES, 2021)

Automated Mathematical Equation Structure Discovery for Visual Analysis. - Caroline Pacheco do Espírito Silva; José A. M. Felippe De Souza; Antoine Vacavant; Thierry Bouwmans; Andrews Cordolino Sobral (CoRR, 2021)

Robust reconstructions by multi-scale/irregular tangential covering. - Antoine Vacavant; Bertrand Kerautret; Fabien Feschet (CoRR, 2021)

Ontology-Driven Approach for Liver MRI Classification and HCC Detection. - Rim Messaoudi; Faouzi Jaziri; Achraf Mtibaa; Faïez Gargouri; Antoine Vacavant (Int. J. Pattern Recognit. Artif. Intell., 2021)

Smoothed Shock Filtering: Algorithm and Applications. - Antoine Vacavant (J. Imaging, 2021)

Recherche de motifs fréquents dans des graphes spatio-temporels. - Aurélie Leborgne; Ezriel Steinberg; Laurine Lafontaine; Florence Le Ber; Antoine Vacavant (EGC, 2022)

The 3D Slicer RVXLiverSegmentation plug-in for interactive liver anatomy reconstruction from medical images. - Jonas Lamy; Thibault Pelletier; Guillaume Lienemann; Benoît Magnin; Bertrand Kerautret; Nicolas Passat; Julien Finet; Antoine Vacavant (J. Open Source Softw., 2022)

Comparison of UNet and DC-UNet models for an efficient segmentation and visualization of rodent hepatic vascular network from X-ray phase contrast imaging. - Matheus Alvarez; Diana Rodrigues de Pina; Hugo Rositi; Antoine Vacavant (ISBI, 2023)

Multi-SPMiner: A Deep Learning Framework for Multi-Graph Frequent Pattern Mining with Application to spatiotemporal Graphs. - Assaad Oussama Zeghina; Aurélie Leborgne; Florence Le Ber; Antoine Vacavant (KES, 2023)

Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos. - Caroline Pacheco do Espírito Silva; Andrews Cordolino Sobral; Antoine Vacavant; Thierry Bouwmans; José A. M. Felippe De Souza (CoRR, 2023)

Multi-SPMiner : un framework d'apprentissage profond pour l'extraction de motifs fréquents dans des multi-graphes avec application aux graphes spatio-temporels. - Assaad Oussama Zeghina; Aurélie Leborgne; Florence Le Ber; Antoine Vacavant (EGC, 2024)

Deep Vessel Segmentation Based on a New Combination of Vesselness Filters. - Guillaume Garret; Antoine Vacavant; Carole Frindel (ISBI, 2024)

Advancing Liver Cancer Research: A Graph-Based Approach for Ontology Enrichment and Link Prediction. - Wissal Essalah; Faouzi Jaziri; Achraf Mtibaa; Antoine Vacavant (KES, 2024)

Restoring Connectivity in Vascular Segmentations Using a Learned Post-processing Model. - Sophie Carneiro Esteves; Antoine Vacavant; Odyssée Merveille (TGI3@MICCAI, 2024)

A fast residual attention network for fine-grained unsupervised anomaly detection and localization. - Najeh Nafti; Olfa Besbes; Asma Ben Abdallah; Antoine Vacavant; Mohamed Hedi Bedoui (Appl. Soft Comput., 2024)

A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization. - Sophie Carneiro Esteves; Antoine Vacavant; Odyssée Merveille (Neurocomputing, 2024)

Deep learning on spatiotemporal graphs: A systematic review, methodological landscape, and research opportunities. - Assaad Oussama Zeghina; Aurélie Leborgne; Florence Le Ber; Antoine Vacavant (Neurocomputing, 2024)

Deep QMiner: Towards a Generalized Deep Q-Learning Approach for Graph Pattern Mining. - Assaad Oussama Zeghina; Aurélie Leborgne; Florence Le Ber; Antoine Vacavant (GbRPR, 2025)

Hessian-Based Deep Retinal Vessel Segmentation with Extremely Few Annotations. - Benjamin Chivet; Noémie Debroux; Manuel Grand-Brochier; Antoine Vacavant (MIUA (3), 2025)

MAESTRO: A Full Point Cloud Approach for 3D Anomaly Detection Based on Reconstruction. - Remi Lhoste; Antoine Vacavant; Damien Delhay (VISIGRAPP (2): VISAPP, 2025)

D2-RD-UNet: A dual-stage dual-class framework with connectivity correction for hepatic vessels segmentation. - Matteo Cavicchioli; Andrea Moglia; Guillaume Garret; Martina Puglia; Antoine Vacavant; Giacomo Pugliese; Pietro Cerveri (Comput. Biol. Medicine, 2025)

Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework. - Guillaume Garret; Antoine Vacavant; Carole Frindel (CoRR, 2025)