Mathieu GAILLARD

Publications

  • Sorghum segmentation and leaf counting using in silico trained deep neural model

    Ian Ostermann, Bedrich Benes, Mathieu Gaillard, Bosheng Li, Jensina Davis, Ryleigh Grove, Nikee Shrestha, Michael C. Tross, James C. Schnable
    The Plant Phenome Journal 2024.
    PDF BIB DOI

  • Semantic Shape Editing with Parametric Implicit Templates

    Uday Kusupati, Mathieu Gaillard, Jean-Marc Thiery, Adrien Kaiser
    ACM SIGGRAPH 2024 Conference Papers.
    PDF BIB DOI

  • Multi-view Triangulation without Correspondences

    Mathieu Gaillard, Bedrich Benes, Michael C. Tross, James C. Schnable
    Computers and Electronics in Agriculture, 2023
    PDF BIB DOI Github

  • Automatic Differentiable Procedural Modeling

    Mathieu Gaillard, Vojtech Krs, Giorgio Gori, Radomir Mech, Bedrich Benes
    Computer Graphics Forum 2022.
    PDF Page BIB DOI Github YouTube

  • 3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves

    Michael C. Tross, Mathieu Gaillard, Mackenzie Zwiener, Chenyong Miao, Ryleigh J. Grove, Bosheng Li, Bedrich Benes, James C. Schnable.
    PeerJ 2021.
    PDF BIB DOI Github

  • Learning from Earthquakes Using the Automatic Reconnaissance Image Organizer (ARIO)

    Shirley J. Dyke, Xiaoyu Liu, Jongseong B. Choi, Chul Min Yeum, Ju An Park, Max Midwinter, Thomas J. Hacker, Zhiwei Chu, Julio A. Ramirez, Randall Poston, Mathieu Gaillard, Bedrich Benes, Ali Lenjani, Xin Zhang.
    Proceeding of the 17th World Conference on Earthquake Engineering.
    PDF BIB

  • Sorghum segmentation by skeleton extraction

    Mathieu Gaillard, Chenyong Miao, James C. Schnable, Bedrich Benes.
    ECCV 2020 Workshops.
    PDF BIB DOI Github

  • Voxel Carving Based 3D Reconstruction of Sorghum Identifies Genetic Determinants of Radiation Interception Efficiency

    Mathieu Gaillard, Chenyong Miao, James C. Schnable, Bedrich Benes.
    Plant Direct, 2020.
    PDF BIB DOI Github

  • PICO: Procedural Iterative Constrained Optimizer for Geometric Modeling

    Vojtech Krs, Radomir Mech, Mathieu Gaillard, Nathan Carr, Bedrich Benes.
    IEEE Transactions on Visualization & Computer Graphics, 2020.
    PDF BIB DOI

  • Dendry: a procedural model for dendritic patterns

    Mathieu Gaillard, Bedrich Benes, Eric Guérin, Eric Galin, Damien Rohmer, Marie-Paule Cani.
    I3D '19 Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2019.
    PDF BIB DOI Github

  • CNN features for Reverse Image Search

    Mathieu Gaillard, Elöd Egyed-Zsigmond, Michael Granitzer.
    Document numerique, 2018, vol. 21, no 1, p. 63-90.
    PDF BIB DOI

  • Large scale reverse image search: A method comparison for almost identical image retrieval

    Mathieu Gaillard, Elöd Egyed-Zsigmond.
    INFORSID, 2017.
    PDF BIB

Patents

  • Modeling shapes using differentiable signed distance functions

    Adrien Kaiser, Vojtech Krs, Thibault Groueix, Tamy Boubekeur, Pierre Gueth, Mathieu Gaillard, Matheus Gadelha.
    US Patent 17/683,188
    Google Patents

  • Digital Content Editing using a Procedural Model

    Vojtech Krs, Radomir Mech, Mathieu Gaillard, Giorgio Gori.
    US Patent 11,410,361 B2
    Google Patents

Datasets

  • CDS&E: Enabling Time-critical Decision-support for Disaster Response and Structural Engineering through Automated Visual Data Analytics

    Chul Min Yeum, Shirley J. Dyke, Bedrich Benes, Thomas Hacker, Mathieu Gaillard, Xiaoyu Liu.
    DesignSafe-CI, 2019.
    DOI