Skip to Main content Skip to Navigation
Help


...
hal-01556544v1  Journal articles
Quentin MérigotJocelyn MeyronBoris Thibert. An algorithm for optimal transport between a simplex soup and a point cloud
SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2018, 11 (2), pp.1363-1389. ⟨10.1137/17M1137486⟩
hal-01884481v1  Conference papers
Soren PirkOlga DiamantiBoris ThibertDanfei XuLeonidas Guibas. Shape-aware spatio-temporal descriptors for interaction classification
2017 IEEE International Conference on Image Processing (ICIP), Sep 2017, Beijing, France. ⟨10.1109/ICIP.2017.8297139⟩
hal-01884492v1  Conference papers
Nan HuQixing HuangBoris ThibertLeonidas Guibas. Distributable Consistent Multi-Object Matching
Computer Vision and Pattern Recognition, Jun 2018, Salt Lake City, United States. pp.2463-2471, ⟨10.1109/CVPR.2018.00261⟩
hal-01094872v1  Conference papers
Frédéric ChazalLeonidas J. GuibasSteve OudotPrimoz Skraba. Persistence-Based Clustering in Riemannian Manifolds
ACM Annual Symposium on Computational Geometry, Jun 2011, Paris, France. pp.97-106, ⟨10.1145/1998196.1998212⟩
...
hal-01864467v1  Conference papers
Bertrand BeaufilsFrédéric ChazalMarc GreletBertrand Michel. Activity recognition from stride detection: a machine learning approach based on geometric patterns and trajectory reconstruction
IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation, Sep 2018, Nantes, France
...
hal-01664659v1  Conference papers
Frédéric ChazalBertrand BeaufilsMarc GreletBertrand Michel. Stride detection for pedestrian trajectory reconstruction: a machine learning approach based on geometric patterns
IPIN 2017 - 8th International Conference on Indoor Positioning and Indoor Navigation, Sep 2017, Sapporo, Japan. pp.1-6, ⟨10.1109/IPIN.2017.8115867⟩
inria-00636144v1  Conference papers
Frédéric ChazalDaniel ChenLeonidas J. GuibasXiaoye JiangChristian Sommer. Data-Driven Trajectory Smoothing
19th SIGSPATIAL International Conference on Advances in Geographic Information Systems, Nov 2011, Chicago, United States
...
inria-00630774v1  Conference papers
Mridul AanjaneyaFrédéric ChazalDaniel ChenMarc GlisseLeonidas J. Guibas et al.  Metric graph reconstruction from noisy data
27th Annual Symposium on Computational Geometry, 2011, Paris, France. pp.37-46, ⟨10.1145/1998196.1998203⟩
hal-00772430v1  Journal articles
Frédéric ChazalLeonidas J. GuibasSteve OudotPrimoz Skraba. Scalar Field Analysis over Point Cloud Data
Discrete and Computational Geometry, Springer Verlag, 2011, 46 (4), pp.743-775. ⟨10.1007/s00454-011-9360-x⟩
...
hal-01716181v3  Conference papers
Frédéric ChazalVincent Divol. The density of expected persistence diagrams and its kernel based estimation
SoCG 2018 - Symposium of Computational Geometry, Jun 2018, Budapest, Hungary
...
inria-00567408v1  Conference papers
Damien RohmerMarie-Paule CaniStefanie HahmannBoris Thibert. Folded Paper Geometry from 2D Pattern and 3D Contour
Eurographics 2011 (short paper), European Association for Computer Graphics, Apr 2011, Llandudno, United Kingdom. pp.21-24
...
hal-01425558v1  Book sections
Frédéric ChazalDavid Cohen-SteinerAndré LieutierQuentin MerigotBoris Thibert. Inference of curvature using tubular neighborhoods
L. Najman; P. Romon. Lecture Notes in Mathematics, 2184, Springer, pp.133-158, 2017, Modern Approaches to Discrete Curvature, 978-3-319-58001-2. ⟨10.1007/978-3-319-58002-9_4⟩
...
hal-01232217v1  Journal articles
Frédéric ChazalBrittany FasyFabrizio LecciBertrand MichelAlessandro Rinaldo et al.  Robust Topological Inference: Distance To a Measure and Kernel Distance
Journal of Machine Learning Research, Microtome Publishing, 2018, 18 (159), pp.40
...
inria-00607806v1  Journal articles
Claire CaillerieFrédéric ChazalJérôme DedeckerBertrand Michel. Deconvolution for the Wasserstein Metric and Geometric Inference
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2011, 5, pp.1394-1423. ⟨10.1214/11-EJS646⟩
hal-01094871v1  Journal articles
Gérard BiauFrédéric ChazalDavid Cohen-SteinerLuc DevroyeCarlos Rodríguez. A weighted k-nearest neighbor density estimate for geometric inference
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2011, 5, pp.204-237
...
hal-01664767v1  Conference papers
Maks OvsjanikovEtienne CormanMichael BronsteinEmanuele RodolaMirela Ben-Chen et al.  Computing and Processing Correspondences with Functional Maps
ACM SIGGRAPH 2017 Courses, Jul 2017, Los Angeles, United States. pp.1-62
...
hal-01570739v2  Journal articles
Jocelyn MeyronQuentin MerigotBoris Thibert. Light in Power: A General and Parameter-free Algorithm for Caustic Design
ACM Transactions on Graphics, Association for Computing Machinery, 2018, 37 (6), pp.1-13. ⟨10.1145/3272127.3275056⟩
...
inria-00383685v2  Journal articles
Frédéric ChazalDavid Cohen-SteinerQuentin Merigot. Geometric Inference for Measures based on Distance Functions
Foundations of Computational Mathematics, Springer Verlag, 2011, 11 (6), pp.733-751. ⟨10.1007/s10208-011-9098-0⟩
hal-00772444v1  Journal articles
Frédéric ChazalDavid Cohen-SteinerQuentin Merigot. Geometric Inference for Probability Measures
Foundations of Computational Mathematics, Springer Verlag, 2011, 11 (6), pp.733-751. ⟨10.1007/s10208-011-9098-0⟩