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Antoine Vacavant
Antoine Vacavant
Institut Pascal - UMR CNRS/UCA/SIGMA 6602, Le Puy-en-Velay, France
Verified email at uca.fr - Homepage
Title
Cited by
Cited by
Year
A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos
A Sobral, A Vacavant
Computer Vision and Image Understanding 122, 4-21, 2014
7822014
A benchmark dataset for outdoor foreground/background extraction
A Vacavant, T Chateau, A Wilhelm, L Lequievre
Computer Vision-ACCV 2012 Workshops: ACCV 2012 International Workshops …, 2013
2272013
Handbook on "Background Modeling and Foreground Detection for Video Surveillance"
T Bouwmans, F Porikli, B Höferlin, A Vacavant
197*2014
Understanding leaves in natural images–a model-based approach for tree species identification
G Cerutti, L Tougne, J Mille, A Vacavant, D Coquin
Computer Vision and Image Understanding 117 (10), 1482-1501, 2013
1442013
A parametric active polygon for leaf segmentation and shape estimation
G Cerutti, L Tougne, A Vacavant, D Coquin
Advances in Visual Computing: 7th International Symposium, ISVC 2011, Las …, 2011
922011
Tree leaves extraction in natural images: Comparative study of preprocessing tools and segmentation methods
M Grand-Brochier, A Vacavant, G Cerutti, C Kurtz, J Weber, L Tougne
IEEE Transactions on Image Processing 24 (5), 1549-1560, 2015
812015
A cognitive and video-based approach for multinational license plate recognition
N Thome, A Vacavant, L Robinault, S Miguet
Machine Vision and Applications 22, 389-407, 2011
782011
BGS library: A library framework for algorithm’s evaluation in foreground/background segmentation
A Sobral, T Bouwmans
532014
Automatic segmentation methods for liver and hepatic vessels from CT and MRI volumes, applied to the Couinaud scheme
MA Lebre, A Vacavant, M Grand-Brochier, H Rositi, A Abergel, P Chabrot, ...
Computers in biology and medicine 110, 42-51, 2019
432019
A benchmark for background subtraction algorithms in monocular vision: a comparative study
Y Dhome, N Tronson, A Vacavant, T Chateau, C Gabard, Y Goyat, ...
2010 2nd international conference on image processing theory, tools and …, 2010
412010
Leaf margins as sequences: A structural approach to leaf identification
G Cerutti, L Tougne, D Coquin, A Vacavant
Pattern Recognition Letters 49, 177-184, 2014
402014
A model-based approach for compound leaves understanding and identification
G Cerutti, L Tougne, J Mille, A Vacavant, D Coquin
2013 IEEE International Conference on Image Processing, 1471-1475, 2013
392013
Guiding active contours for tree leaf segmentation and identification
G Cerutti, L Tougne, J Mille, A Vacavant, D Coquin
CLEF 2011, Conference on Multilingual and Multimodal Information Access …, 2011
332011
Curvature-scale-based contour understanding for leaf margin shape recognition and species identification
G Cerutti, L Tougne, D Coquin, A Vacavant
International Conference on Computer Vision Theory and Applications (VISAPP …, 2013
262013
Vesselness filters: A survey with benchmarks applied to liver imaging
J Lamy, O Merveille, B Kerautret, N Passat, A Vacavant
2020 25th international conference on pattern recognition (ICPR), 3528-3535, 2021
252021
ReVeS participation - tree species classification using random forests and botanical features
G Cerutti, V Antoine, L Tougne, J Mille, L Valet, D Coquin, A Vacavant
252012
Fast smoothed shock filtering
A Vacavant, A Albouy-Kissi, PY Menguy, J Solomon
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
202012
Ontology-based approach for liver cancer diagnosis and treatment
R Messaoudi, F Jaziri, A Mtibaa, M Grand-Brochier, HM Ali, A Amouri, ...
Journal of digital imaging 32, 116-130, 2019
172019
Comparative study of segmentation methods for tree leaves extraction
M Grand-Brochier, A Vacavant, G Cerutti, K Bianchi, L Tougne
Proceedings of the International Workshop on Video and Image Ground Truth in …, 2013
172013
Late information fusion for multi-modality plant species identification
G Cerutti, L Tougne, C Sacca, T Joliveau, PO Mazagol, D Coquin, ...
Conference and Labs of the Evaluation Forum, Working Notes, 2013
162013
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