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Thomas Hurtut
B.Ing. (Supélec), M.Ing. (Poly), Ph.D. (Télécom ParisTech/Poly), Postdoc (Inria)

Research interests and affiliations

Research interests
  • 2D computer graphics
  • Generative and descriptive modeling of images
  • Generative modeling of vector textures
  • Authoring tools for the stylization of image content
  • Expressive/Non-photorealistic rendering
  • Stylized/expressive image content modeling
Affiliation(s)
Expertise type(s) (NSERC subjects)
  • 2603 Computer vision
  • 2604 Intelligent systems applications
  • 2605 Pattern analysis and machine intelligence
  • 2707 Graphics
  • 2708 Image and video processing

Publications

Recent publications
Conference paper
Bléron, A., Vergne, R., Hurtut, T. & Thollot, J. (2018). Motion-coherent stylization with screen-space image filters. Paper presented at the Joint Symposium on Computational Aesthetics and Sketch Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering (EXPRESSIVE 2018), Victoria, BC (13 pages). Retrieved from https://doi.org/10.1145/3229147.3229163
Conference paper
Christophe, S., Duménieu, B., Masse, A., Hoarau, C., Ory, J., Bédif, M., Lecordix, F., Mellado, N., Turbet, J., Loi, H., Hurtut, T., Vanderhaeghe, D., Vergne, R. & Thollot, J. (2017). Expressive map design : OGC SLD/SE++ extension for expressive map styles. Paper presented at the 28th International Cartographic Conference (ICC 2017), Washington, D.C., USA (4 pages).
Journal article
Arbelot, B., Vergne, R., Hurtut, T. & Thollot, J. (2017). Local texture-based color transfer and colorization. Computers & Graphics, 62, 15-27. Retrieved from https://doi.org/10.1016/j.cag.2016.12.005
Conference paper
Gutierrez, J., Rabin, J., Galerne, B. & Hurtut, T. (2017). Optimal Patch Assignment for Statistically Constrained Texture Synthesis. Paper presented at the 6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017), Kolding, Denmark (pp. 172-183). Retrieved from https://doi.org/10.1007/978-3-319-58771-4_14

Supervision at Polytechnique

COMPLETED

  • Ph.D. Thesis (1)

    • Christodoulidis, A. (2017). Segmentation and Characterization of Small Retinal Vessels in Fundus Images Using the Tensor Voting Approach (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2578/
  • Master's Thesis (2)

    • Schmitt, M. (2017). Content-Based Image Enhancement for Eye Fundus Images Visualization (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2662/
    • Jan Mahamad, T. (2016). Animation par l'exemple de texture vectorielle (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2181/