Publications
Google scholar profile: here
2024
[99] A. Soliman, F. Bonardi, D. Sidibé, S. Bouchafa, “DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking and Mapping System”, To appear in IEEE Trans. Intelligent Vehicles, 2024.
[98] S. Hu, F. Bonardi, S. Bouchafa, H. Prendinger, D. Sidibé, “Rethinking Self-Attention for Multispectral Object Detection”, To appear in IEEE Trans. Intelligent Transportation Systems, 2024.
[97] V.T. N'guyen, D. Fourer, D. Sidibé, J.F. Lecomte, S. Youssef, “A comparative evaluation of self-supervised methods applied to rock images classification”, VISAPP, 2024.
2023
[96] S. Hu, F. Bonardi, S. Bouchafa, D. Sidibé, "Multimodal unsupervised domain adaptation for semantic image segmentation", Pattern Recognition, vol 137, 2023. (Doctoral Student Prize, Honorable Mention - From the Plateau de Scalay)
[95] S. Hosni, H. Khachnaouio, H. M. Zgolli, S. MAbrouk, D. Sidibé, H. Tabia, N. Khlifa, "Prediction of postoperative visual acuity in rhegmatogenous ratinal detachment using OCT images", IEEE Access, 2023
[94] L. Saidi, H. Jomaa, Z. Haddad, , H. M. Zgolli, S. MAbrouk, D. Sidibé, H. Tabia, N. Khlifa, "Automatic detection of AMD and DME retinal pathologies using deep learning", International Journal of Biomedical Imaging, 2023
[93] A. Soliman, H. Hadj-Abdelkader, F. Bonardi, S. Bouchafa, D. Sidibé, “MAV localization in large-scale environments: a decoupled optimization/filtering approach”, Sensors, 23(1), pp. 516, 2023.
[92] A. Soliman, F. Bonardi, S. Bouchafa, D. Sidibé, “Robust RGB-D-IMU calibration method applied to GPS-aided pose estimation”, VISAPP, 2023.
2022
[91] A. Soliman, F. Bonardi, D. Sidibé, S. Bouchafa, “IBISCape : a simulated benchmark for multi-modal SLAM systems evaluation in large-scale dynamic environments”, Journal of Intelligent & Robotic Systems, 106(3), pp. 1-24, 2022.
[90] S. Hu, F. Bonardi, S. Bouchafa, D. Sidibé, "A hybrid multimodal visual data cross-fusion for indoor and outdoor segmentation", ICPR, Montreal, Canada, 2022.
[89] S. Hu, F. Bonardi, S. Bouchafa, D. Sidibé, "A general two-branch decoder architecture for improving encoder-decoder image segmentation models ", VISAPP, 2022.
[88] Y. Zhang, O. Morel, R. Seulin, F. Meriaudeau, D. Sidibé, "A central multimodal fusion framework for outdoor scenes image segmentation", Multimedia Tools and Applications, 81(9), 12047-12060, 2022.
2021
[87] E. De la Rosa, D. Sidibé, T. Decourselle, T. Leclercq, A. Cochet, A. Lalande, "Myocardial infarction quantification from late galiium enhancement MRI using top-hat transforms and neural networks", Algorithms, 14(8), 2021
[86] N. Piasco, D. Sidibé, C. Demonceaux, V. Gouet-Brunet, "Improving image descriptor with auxiliary modality for visual localization in challenging conditions", International Journal of Computer Vision (IJCV), vol 129(2), pp. 185-202. (pdf)
[85] Y. Zhang, D. Sidibé, O. Morel, F. Mériaudeau, "Deep multimodal fusion for semantic image segmentation: a survey", Image and Vision Computing, 105, 104042, 2021. (pdf)
2020
[84] Y. Zhang, D. Sidibé, O. Morel, F. Mériaudeau, “Incorporating depth information into few-shot semantic segmentation”, ICPR 2020, Milano, Italy. (pdf)
[83] Y. Zhang, D. Sidibé, O. Morel, F. Mériaudeau, “Multiscale attention-based prototypical network for few-shot semantic segmentation”, ICPR 2020, Milano, Italy. (pdf)
[82] M. Blanchon, F. Mériaudeau, O. Morel, R. Seulin, D. Sidibé, “Polarimetric image augmentation”, ICPR 2020, Milano, Italy. (pdf)
[81] M. Blanchon, D. Sidibé, O. Morel, R. Seulin, D. Braun, F. Mériaudeau, “P2D: a self-supervised method for depth estimation from polarimetry”, ICPR 2020, Milano, Italy. (pdf)
2019
[80] N. Piasco, D. Sidibé, V. Gouet-Brunet, C. Demonceaux, “Learning scene geometry for visual localization in challenging conditions”, ICRA 2019, Montreal, Canada. (Best Paper in Robot Vision - Finalist) (pdf)
[79] N. Piasco, D. Sidibé, V. Gouet-Brunet, C. Demonceaux, “Perspective-n-learned-Point: Pose Estimation from relative Depth”, BMVC 2019, Cardiff, UK. (Spotlight Presentation) (pdf)
[78] N. Piasco, D. Sidibé, V. Gouet-Brunet, C. Demonceaux, “Geometric cameras pose refinement with learned depth maps”, ICIP 2019, Taipe, Taïwan. (pdf)
[77] Y. Zhang, O. Morel, M. Blanchon, R. Seulin, M. Rastgo, D. Sidibé, “Exploration of deep-learning based multimodal fusion for semantic scene segmentation”, VISAPP 2019, Prague, Czech Republic. (pdf)
[76] M. Blanchon, O. Morel, Y. Zhang, R. Seulin, N. Crombez, D. Sidibé, “Pixel-wise semantic segmentation of outdoor scenes using polarimetry and fully convolutional network”, VISAPP 2019, Prague, Czech Republic. (pdf)
[75] M. Blanchon, O. Morel, Y. Zhang, R. Seulin, N. Crombez, D. Sidibé, “Utilisation de la polarimétrie pour la segmentation de scènes extérieures”, ORASIS 2019, France.
2018
[74] N. Piasco, D. Sidibé, C. Demonceaux, V. Gouet-Brunet, "A survey on visual-based localization: on the benefit of heterogeneous data", Pattern Recognition, 74, pp:90-109, 2018. (pdf)
[73] S. Muddamsetty, D. Sidibé, A. Trémeau, F. Mériaudeau, "Salient objects detection in dynamic scenes using color and texture features", Multimedia Tools and Applications, 77(5), 5461-5474, 2018. (pdf)
[72] N. Piasco, D. Sidibé, C. Demonceaux, V. Gouet-Brunet, « Apprentissage de modalités auxiliaires pour la localisation basée vision», RFIAP 2018, France, juin 2018.
[71] K Alsaih, T.B. Tang, F. Meriaudeau, G. Lemaître, M. Rastgoo, D. Sidibé, “Classification of Retinal Cysts on SD-OCT images using stacked Auto-Encoder”, ICIAS 2018, Kuala Lumpur, Malaysia.
[70] R. Safarjalani, D. Sidibé, S. Ainouz, A. Shahin, F. Mériaudeau, “Diabetic retinal tomographic image classification using convolutional neural network”, ICIAS 2018, Kuala Lumpur, Malaysia.
2017
[69] M. Hittawe, D. Sidibé, O. Beya, F. Mériaudeau, “Machine vision for timber grading singularities detection and application”, to appear in Journal of Electronic Imaging, 26(6), 063015
[68] D. Sidibé, S. Sankar, G. Lemaître, M. Rastgoo, J. Massich, C.Y. Cheung, G.S.W. Tan, D. Milea, E. Lamoureux, T.Y Wong, F. Mériaudeau, "An anomaly detection approach for the identification of DME patients using SD-OCT images", Computer Methods and Programs in Biomedicine, 2017. (pdf)
[67] K. Alsaih, G. Lemaître, M. Rastgoo, J. Massich, D. Sidibé, F. Mériaudeau, “Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images”, BioMedical Engineering OnLine, 16:68, 2017.
[66] N. Piasco, D. Sidibé, C. Demonceaux, V. Gouet-Brunet, « Localisation basée vision : de l’hétérogénéité des données et des approches », ORASIS 2017, France, juin 2017.
2016
[65] J. Massich, M. Rastgoo, G. Lemaître, C. Y. Chaung, T.Y. Wong, D. Sidibé, F. Mériaudeau, "Classifying DME vs Normal SD-OCT Volumes: A Review", ICPR 2016, Mexico.
[64] M. Rastgo, G. Lemaître, O. Morel, J. Massich, F. Marzani, R. Garcia, D. Sidibé, “Classification of melanoma lesions using sparse coded features and random forests”, SPIE Medical Imaging 2016, San Diego, USA.
[63] D. Sidibé, F. Meriaudeau, "Visual saliency detection in colour images based on density estimation", IET Electronics Letters, 2016 (pdf)
[62] G. Lemaître, M. Rastgoo, J. Massich, C.Y. Cheung, T.Y Wong, E. Lamoureux, D. Milea, F. Mériaudeau, D. Sidibé, "Classification of SD-OCT volumes with LBP: experimental valivation for DME detection", Journal of Ophthalmology, 2016.
[61] D. Sidibé, M. Rastgoo, F. Mériaudeau, "On spatio-temporal saliency detection in videos using multilinear PCA", ICPR 2016, Mexico
[60] S. Sankar, D. Sidibé, C. Y. Cheung, T. Y. Wong, E. Lamoureux, D. Milea, F. Meriaudeau, “Classification of SD-OCT volumes for DME detection: an anomaly detection approach”, SPIE Medical Imaging 2016, San Diego, USA.
2015
[59] F. Rameau, D. Sidibé, C. Demonceaux, D. Fofi. "Structure from motion using a hybrid stereo-vision system". In 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2015)
[58] G. Lemaître, J. Massich, M. Rastgoo, S. Sankar, F. Mériaudeau, D. Sidibé, “Classification of SD-OCT volumes using LBP: application to DME detection”, Ophthalmic Images Analysis Workshop (OMIA), in conjunction with MICCAI 2015.
[57] D. Sidibé, I. Sadek, F. Mérieaudeau, “Discrimination of retinal images containing bright lesions using sparse coded features and SVM”, Computers in Biology and Medicine, To appear, 2015.
[56] M. M. Hittawe, S. M. Muddamsetty, D. Sidibé, F. Mériaudeau, “Multiple Features Extraction for Timber Defects Detection and Classification with SVM”, in IEEE ICIP 2015.
[55] M. M. Hittawe, D. Sidibé, F. Meriaudeau, “Bag of words representation and SVM classifier for timber knots detection on color images”, in MVA 2015.
[54] J. Diaz Barros, F. Garcia, D. Sidibé, "Real-Time Human Pose Estimation from Body-Scanned Point Clouds", VISAPP 2015.
[53] I. Sadek, D. Sidibé, F. Mériaudeau, "Automatic discrimination of color retinal images using the the bag-of-words approach", SPIE Medical Imaging 2015. (Robert F. Wagner Best Student Paper Award)
[52] M. M. Hittawe, D. Sidibé, F. Meriaudeau, “A machine vision based approach for timber knots detection”, in QCAV 2015, France.
[51] G. Lemaître, J. Massich, R. Marti, J. Freixenet, J. C. Vilanova, P. M. Walker, D. Sidibé, F. Mériaudeau, “A boosting approach for prostate cancer detection using multi-parametric MRI”, in QCAV 2015, France.
2014
[50] S. Muddamsetty, D. Sidibé, A. Trémeau, F. Mériaudeau, "Spatio-temporal saliency detection in dynamic scenes using local binary patterns", ICPR 2014.
[49] D. Venkatrayappa, D. Sidibé, F. Meriaudeau, P. Montesinos, "Adaptive Feature Selection for Object Tracking with Particle Filter", ICIAR 2014.
[48] A. Quintero Delgado, Y. Benezeth, D. Sidibé, "Automatic spatial and temporal organization of long range video sequences from low level motion features", Scene Understanding workshop (CVPR workshops), 2014
[47] Y. Benezeth, D. Sidibé, J.B. Thomas, “Background subtraction with multispectral videos sequences”, in OMNIVIS 2014. (pdf)
[46] Y. Salih, A. S. Malik, D. Sidibé, M. T. Simsim, N. Saad, F. Mériaudeau, "Compressed VFH Descriptor for 3D Object Classification", in 3DTV-Con 2014, Budapest, Hungary, 2014.
[45] K. Adal, D. Sidibé, S. Ali, E. Chaum, T. Karnowski, F. Mériaudeau,"Automated Detection of Microaneurysms Using Scale-Adapted Blob Analysis and Semi-Supervised Learning", Computer Methods and Programs in Biomedicine, 114(1), pp. 1-10, 2014. (pdf)
[44] M. M. Nawaf, MD Abdul Hasnat, D. Sidibé, A. Trémeau, "Color and Flow based Superpixels for 3D Geometry Respecting Meshing", in WACV 2014. 24-26 March, Colorado, USA, 2014.
[43] F. Rameau, C. Demonceaux, D. Sidibé, D. Fofi, "Control of a PTZ camera in a hybrid vision system", VISAPP 2014. 5-8 January, Lisbon, Protugal, 2014.
2013
[42] S. Ali, D. Sidibé, K. Adal, L. Giancardo, E. Chaum, T. P. Karnowski, F. Mériaudeau, "Statistical atals based exudate segmentation", Computerized Medical Imaging and Graphics, 37(5-6), pp. 358-368, 2013. (pdf)
[41] A. P. Twinanda, M. Meilland, D. Sidibé, A. I. Comport, "On Keyframe Positioning for Pose Graphs Applied to Visual SLAM", IROS Workshop 2013.
[40] S. Muddamsetty, D. Sidibé, A. Trémeau, F. Mériaudeau, "A Performance Evaluation of Fusion Techniques for Spatio-Temporal Saliency Detection in Dynamic Scenes", ICIP 2013. (pdf)
[39] Y. Salih, A.Malik, N. Walter, D. Sidibé, N. Saad, F. Meriaudeau, "Noise Robutness Analysis of Point Cloud Descriptors", in ACIVS 2013
[38] F. Meriaudeau, D. Sidibé, K. Adal, S. Ali, L. Giancardo, T. Karnowski, E. Chaum, "Computer Aided Design for Diabetic Retinopathy", in QCAV 2013.
[37] S. Ali, K. Adal, D. Sidibé, T. Karnowski, E. Chaum, F. Meriaudeau, "Exudate Segmentation on Retinal Atlas Space", in ISPA 2013.
[36] S. Ghose, A. Oliver, J. Mitra, R. Marti, X. Llado, J. Freixenet,, D. Sidibé, J. C. Vilanova, J. Comet, F. Meriaudeau, “A Supervised Learning Framework of Statistical Shape and Probability Priors for Automatic Prostate Segmentation in Ultrasound Images”, Medical Image Analysis, 17(6), pp. 587 - 600, 2013.
[35] F. Rameau, C. Demonceaux, D. Sidibé, D. Fofi, "Etude d'un système de vision hybride", ORASIS, Cluny, France, Juin 2013.
[34] K. Adal, S. Ali, D. Sidibé, T. Karnowski, F. Mériaudeau, "Automated Detection of Microaneurysm Using Robust Blob Descriptors", in SPIE Medical Imaging, Orlando, Florida - USA, 9-14 February 2013. (pdf)
[33] S. Ali, K. Adal, D. Sidibé, T. Karnowski, F. Mériaudeau, "Steerable Transform for Atlas-Based Retinal Lesion Segmentation", in SPIE Medical Imaging, Orlando, Florida - USA, 9-14 February 2013. (pdf)
2012
[32] F. Rameau, A. Habed, C. Demonceaux, D. Sidibé, D. Fofi, "Self-calibration of PTZ camera using new LMI constraints", in 11th Asian Conference on Computer Vision, ACCV 2012.
[31] A. Srikantha, D. Sidibé, F. Meriaudeau, "An SVD-Based Approach for Ghost Detection and Removal in High Dynamic Range Images", in 21st International Conference on Pattern Recognition, ICPR 2012.
[30] J. Mitra, Z. Kato, R. Marti, A. Oliver, X. Llado, D. Sidibé, S. Ghose, J. C. Vilanova, J. Comet, F. Meriaudeau, “A Spline-Based Non-linear Diffeomorphism for Multimodal Prostate Registration”, To appear in Medical Image Analysis, available online (http://dx.doi.org/10.1016/j.media.2012.04.006)
[29] S. Ghose, A. Oliver, R. Marti, X. Llado, J. C. Vilanova, J. Freixenet, J. Mitra, D. Sidibé, F. Meriaudeau, “A Survey of Prostate Segmentation Methodologies in Ultrasound, Magnetic Resonance and Computed Tomography Images”, in Computer Methods and Programs in Biomedecine. (http://dx.doi.org/10.1016/j.cmpb.2012.04.006), and (link)
[28] A. Srikantha, D. Sidibé, "Ghost Detection and Removal for High Dynamic Range Images: Recent Advances", Signal Processing: Image Communication, 27(6), pp. 650-662, 2012. (http://dx.doi.org/10.1016/j.image.2012.02.001) and (link)
[27] O. Strauss, D. Sidibé and W. Puech, "Détection robuste de mouvement par histogrammes quasi-continus", LFA 2012, 21è rencontres francophones sur la Logique Floue et ses Applications. Compiègne, Novembre 2012.
[26] S. Ghose, J. Mitra, A. Oliver, R. Martí, X. Lladó, J. Freixenet, J.C. Vilanova, D Sidibé, and F. Meriaudeau. "A Stochastic Approach to Prostate Segmentation in MRI". MICCAI Grand Challenge: Prostate MR Image Segmentation 2012.
[25] J. Mitra, Z. Kato, S. Ghose, D. Sidibé, R. Martí, X. Llado, A. Oliver, J. C. Vilanova, F. Meriaudeau, "Spectral clustering to model deformations for fast multimodal prostate registration", in 21st International Conference on Pattern Recognition, ICPR 2012.
[24] S. Ghose, J. Mitra, A. Oliver, R. Marti, X. Llado, J. Freixenet, J. C. Vilanova, D. Sidibé, F. Meriaudeau, "Graph Cut Energy Minimization in a Probabilistic Learning Framework for 3D Prostate Segmentation in MRI", in 21st International Conference on Pattern Recognition, ICPR 2012.
[23] S. Ghose, J. Mitra, A. Oliver, R. Marti, X. Llado, J. Freixenet, J. C. Vilanova, J. Comet, D. Sidibé, F. Meriaudeau, "A Mumford-Shah Functional based Variational Model with Contour, Shape, and Probability Prior information for Prostate Segmentation", in 21st International Conference on Pattern Recognition, ICPR 2012.
[22] S. Ghose, J. Mitra, A. Oliver, R. Marti, X. Llado, J. Freixenet, J. C. Vilanova, J. Comet, D. Sidibé, F. Meriaudeau, "A Supervised Learning Framework for Automatic Prostate Segmentation in Trans Rectal Ultrasound Images", To appear in ACIVS 2012.
[21] S. Ghose, J. Mitra, A. Oliver, R. Marti, X. Llado, J. Freixenet, J. C. Vilanova, D. Sidibé, F. Meriaudeau, “A Couple Schema of Probabilistic Atlas and Statistical Shape and Appearance Model for 3D Prostate Segmentation in MR Images”, To appear in IEEE International Conference on Image Processing, ICIP 2012
[20] J. Mitra, S. Ghose, D. Sidibé, A. Oliver, R. Marti, X. Llado, J. C. Vilanova, J. Comet, F. Meriaudeau, “Weighted Likelihood Function of Multiple Statistical Parameters to Retrieve 2D TRUS-MRI Slice Correspondences for Prostate Biopsy”, To appear in IEEE International Conference on Image Processing, ICIP 2012.
[19] J. Mitra, S. Ghose, D. Sidibé, R. Marti, A. Oliver, X. Llado, J. C. Vilanova, J. Comet, F. Meriaudeau, "Joint Probability of Shape and Image Similarities to Retrieve 2D TRUS-MR Slice Correspondence for Prostate Biopsy", To appear in IEEE Engineering in Medicine and Biology Society Conference, EMBC12.
[18] S. Ghose, J. Mitra, A. Oliver, R. Marti, X. Llado, J. Freixenet, J. C. Vilanova, J. Comet, D. Sidibé, F. Meriaudeau, “Spectral Clustering of Shape and Probability Prior Models for Automatic Prostate Segmentation in Ultrasound Images”, To appear in IEEE Engineering in Medicine and Biology Society Conference, EMBC12.
[17] V. Vega, D. Sidibé and Y. Fougerolle, "Road Signs Detection and Reconstruction using Gielis Curves", In VISAPP 2012. 7th International Conference on Computer Vision Theory and Applications, Roma, Italy, 24 - 26 February, pp. 93-396, 2012. (link)
[16] B. Khanal, S. Ali and D. Sidibé, "Robust Road Signs Segmentation in Color Images", In VISAPP 2012. 7th International Conference on Computer Vision Theory and Applications, Roma, Italy, 24 - 26 February, pp. 307-310, 2012. (link)
[15] J. Mitra, A. Srikantha, D. Sidibé, R. Marti, A. Oliver, X. Llado, S. Ghose, J. Vilanova, J. Batle, F. Mériaudeau, "A Shape-based Statistical Method to Retrieve 2D TRUS-MR Slice Correspondence for Prostate Biopsy", SPIE Medical Imaging, San Diego, California, USA, 4-9 February, 2012.
[14] F. Rameau, D. Sidibé, C. Demonceaux, D. Fofi, "Une approche performante de suivi visuel pour les caméras catadioptriques", RFIA 2012, 18è Congrès de Reconnaissance des Formes et Intelligence Artificielle. Lyon, 24-27 Janvier, 2012. http://hal.archives-ouvertes.fr/hal-00656553
2011
[13] F. Rameau, D. Sidibe, C. Demonceaux and D. Fofi, "Visual Tracking With Omnidirectional Cameras: An Efficient Approach". IET Electronic Letters, 47 (21), pp. 1183-1184.
[12] F. Rameau, D. Sidibe and C. Demonceaux, "Tracking Moving Objects With a Catadioptric Sensor Using Particle Filter". OMNIVIS 2011. 11th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras, in conjunction with ICCV 2011, Barcelona, Spain, November 7, 2011.
[11] B. Khanal and D. Sidibe, "Efficient Skin Detection Under Severe Illumination Changes and Shadows", ICIRA 2011. 4th International Conference on Intelligent Robotics and Applications, Aachen, Germany, 6-9 December, 2011.
2010
[10] D. Sidibe, D. Fofi and F. Meriaudeau, "Using Visual Saliency for Object Tracking with Particle Filters", EUSIPCO 2010. 18th European Signal Processing Conference, Aalborg, Denmark, August 23-27 2010. (pdf)
2009
[9] D. Sidibe, P. Montesinos and A. Tremeau, "Robust Facial Features Tracking Using Geometric Constraints and Relaxation", IEEE MMSP 09, 11th IEEE International Workshop on MultiMedia Signal Processing, Rio de Janeiro, Brazil, October 5-7, 2009.(pdf)
[8] D. Sidibe, W. Puech and O. Strauss "Ghost Detection and Removal in High Dynamic Range Images", EUSIPCO 2009. 17th European Signal Processing Conference, Glasgow, Scotland, August 2009.(pdf)
[7] D. Sidibe, O. Strauss and W. Puech "Automatic Background Generation from a Sequence of Images Based on Robust Mode Estimation", SPIE, IS&T Electronic Imaging, Digital Photography V, San Jose, California, USA, 18-22 January, 2009. (pdf)
2008
[6] D. Sidibe, P. Montesinos and S. Janaqi, “Matching Local Invariant Features with Contextual Information: An Experimental Evaluation.” ELCVIA(Electronic Letters on Computer Vision and Image Analysis) 7(1):26-39, 2008. (download)
2007
[5] D. Sidibe « Une technique de relaxation pour la mise en correspondance d'images : Application à la reconnaissance d'objets et au suivi du visage. » Ph.D. thesis, University of Montpellier II, December 2007. (download)
[4] D. Sidibe, P. Montesinos and S. Janaqi “Matching Local Invariant Features: How Can Contextual Information Help?” In 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services, Maribor, Slovenia, June 2007. (pdf)
[3] D. Sidibe, P. Montesinos and S. Janaqi “Fast and Robust Image Matching using Contextual Information and Relaxation.” In VISAPP 07. 2nd International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007. (pdf)
[2] D. Sidibe, P. Montesinos and S. Janaqi « Mise en correspondance robuste d’invariants locaux par relaxation. » ORASIS 2007. 11ème congrès francophone des jeunes chercheurs en vision par ordinateur. Obernai, France, 4 – 8 juin 2007.
2006
[1] D. Sidibe, P. Montesinos and S. Janaqi “A simple and efficient eye detection method in color images.” In IVCNZ 06. 21th International Conference Image and Vision Computing New Zealand, Great Barrier Island, New Zealand, November 2006. (pdf)