Search Results - "Lecellier, François"

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  1. 1

    Deep multimodal learning for cross-modal retrieval: One model for all tasks by Beltrán, L. Viviana Beltrán, Caicedo, Juan C., Journet, Nicholas, Coustaty, Mickaël, Lecellier, François, Doucet, Antoine

    Published in Pattern recognition letters (01-06-2021)
    “…•Study of VQA systems for cross-modal retrieval tasks.•Baselines in several classification and cross-modal tasks for well know databases.•Evaluation of…”
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    Journal Article
  2. 2

    Adaptive features selection for expert datasets: A cultural heritage application by Michaud, Dorian, Urruty, Thierry, Carré, Philippe, Lecellier, François

    Published in Signal processing. Image communication (01-09-2018)
    “…Image Retrieval is still a very active field of image processing as the number of available image datasets continuously increases. One of the principal…”
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    Journal Article
  3. 3

    Evaluation of local and global descriptors for emotional impact recognition by Gbèhounou, Syntyche, Lecellier, François, Fernandez-Maloigne, Christine

    “…[Display omitted] •We studied an emotion extraction based on image low level features on a new natural image database and on IAPS.•We organized subjective…”
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    Journal Article
  4. 4

    Improving retrieval framework using information gain models by Le, Huu Ton, Urruty, Thierry, Gbèhounou, Syntyche, Lecellier, François, Martinet, Jean, Fernandez-Maloigne, Christine

    Published in Signal, image and video processing (01-02-2017)
    “…Content-based image retrieval systems are meant to retrieve the most similar images of a collection to a query image. One of the most well-known models widely…”
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    Journal Article
  5. 5

    Region-Based Active Contours with Exponential Family Observations by Lecellier, François, Fadili, Jalal, Jehan-Besson, Stéphanie, Aubert, Gilles, Revenu, Marinette, Saloux, Eric

    “…In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs…”
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    Journal Article
  6. 6

    Improvement of natural image search engines results by emotional filtering by Denis, Patrice, Courboulay, Vincent, Revel, Arnaud, Gbèhounou, Syntyche, Lecellier, François, Fernandez-Maloigne, Christine

    “…With the Internet 2.0 era, managing user emotions is a problem that more and more actors are interested in. Historically, the first notions of emotion sharing…”
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    Journal Article
  7. 7

    Lena, une référence en traitement d’images by Lecellier, François, Fernandez-Maloigne, Christine

    Published in Images du travail, travail des images (01-02-2017)
    “…Image originale de Lena. Afin de tester les différents algorithmes développés, les traiteurs d’images ont besoin d’images comportant des caractéristiques bien…”
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    Journal Article
  8. 8

    Full-Vector Gradient for Multi-Spectral or Multivariate Images by Chatoux, Hermine, Richard, Noel, Lecellier, Francois, Fernandez-Maloigne, Christine

    Published in IEEE transactions on image processing (01-05-2019)
    “…Gradient extraction is important for a lot of metrological applications, such as control quality by vision. In this paper, we propose a full-vector gradient…”
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    Journal Article
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  11. 11

    Statistical region-based active contours for segmentation: An overview by Lecellier, F, Jehan-Besson, S, Fadili, J

    Published in Ingénierie et recherche biomédicale (01-02-2014)
    “…Abstract In this paper we propose a brief survey on geometric variational approaches and more precisely on statistical region-based active contours for medical…”
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    Journal Article
  12. 12

    Image database indexing: Emotional impact assessing by Gbehounou, Syntyche, Lecellier, François, Fernandez-Maloigne, Christine

    “…The goal of my PhD was to propose an efficient approach for emotional impact recognition based on CBIR techniques (descriptors, image representation). The main…”
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    Journal Article
  13. 13

    Comparison of 2D and 3D region-based deformable models and random walker methods for PET segmentation by Gosse, Kevin, Jehan-Besson, Stephanie, Lecellier, Francois, Ruan, Su

    “…In this paper, we propose to compare different methods for tumor segmentation in positron emission tomography (PET) images. We first propose to tackle this…”
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    Conference Proceeding
  14. 14

    Comparative study of descriptors with dense key points by Chatoux, Hermine, Lecellier, Francois, Fernandez-Maloigne, Christine

    “…A great deal of features detectors and descriptors are proposed every years for several computer vision applications. In this paper, we concentrate on dense…”
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    Conference Proceeding
  15. 15
  16. 16

    Region-based active contours and sparse representations for texture segmentation by Lecellier, F., Fadili, J., Jehan-Besson, S., Revenu, M., Aubert, G.

    “…In this paper we propose a rigorous framework for texture image segmentation relying on region-based active contours (RBAC) and sparse texture representation…”
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    Conference Proceeding
  17. 17

    Multi-view visual saliency-based MRI classification for alzheimer's disease diagnosis by Ben-Ahmed, Olfa, Lecellier, Francois, Paccalin, Marc, Fernandez-Maloigne, Christine

    “…Visual inspection is the first step performed by clinicians during evaluation of medical images in image-based diagnosis. This behavior can be automated using…”
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    Conference Proceeding
  18. 18

    Statistical region-based active contours with exponential family observations by Lecellier, François, Jehan-Besson, Stéphanie, Fadili, Jalal, Aubert, Gilles, Revenu, Marinette

    Published 21-05-2008
    “…In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs…”
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    Journal Article
  19. 19

    Region-based active contour with noise and shape priors by Lecellier, François, Jehan-Besson, Stéphanie, Fadili, Jalal, Aubert, Gilles, Revenu, Marinette, Saloux, Eric

    Published 21-05-2008
    “…In this paper, we propose to combine formally noise and shape priors in region-based active contours. On the one hand, we use the general framework of…”
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    Journal Article