Faculté des arts et des sciences – Département d'informatique et de recherche opérationnelle - Travaux et publications: Recent submissions

Now showing items 11-15 of 15

  • Singularity-free frame fields for line drawing vectorization 

    Guțan, Olga; Hegde, Shreya; Jimenez Berumen, Erick; Bessmeltsev, Mikhail; Chien, Edward (Wiley, 2023-07-19)
    State-of-the-art methods for line drawing vectorization rely on generated frame fields for robust direction disambiguation, with each of the two axes aligning to different intersecting curve tangents around junctions. However, a common source of ...

  • Differential operators on sketches via alpha contours 

    Myronova, Mariia; Neveu, William; Bessmeltsev, Mikhail (Association for Computing Machinery, 2023-08)
    A vector sketch is a popular and natural geometry representation depicting a 2D shape. When viewed from afar, the disconnected vector strokes of a sketch and the empty space around them visually merge into positive space and negative space, respectively. ...

  • The load planning and sequencing problem for double-stack trains 

    Ruf, Mortiz; Cordeau, Jean-François; Frejinger, Emma (Elsevier, 2022-07-21)
    This paper addresses the integrated load planning and sequencing problem (LPSP) for double-stack trains. This decision problem occurs in intermodal terminals and consists in assigning containers from a storage area to slots on railcars of outbound ...

  • Keypoint-driven line drawing vectorization via polyvector flow 

    Puhachov, Ivan; Neveu, William; Chien, Edward; Bessmeltsev, Mikhail (Association for Computing Machinery, 2021-12)
    Line drawing vectorization is a daily task in graphic design, computer animation, and engineering, necessary to convert raster images to a set of curves for editing and geometry processing. Despite recent progress in the area, automatic vectorization ...

  • Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression 

    Lemieux, Sébastien (2006)
    BACKGROUND:The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level probe intensities, then deriving significance by comparing these expression ...