Journals |
[CAGD23] |
Sharp Feature Consolidation from Raw 3D Point Clouds via Displacement Learning
Zhao T., Yu M. ,Alliez P. and Lafarge F. Computer Aided Geometric Design, Vol. 103, 2023 |
[CGF22] |
Simplification of 2D Polygonal Partitions via Point-line Projective Duality, and Application to Urban Reconstruction
Vuillamy J., Lieutier A., Lafarge F. and Alliez P. Computer Graphics Forum, Vol. 41(6), 2022 |
[JPRS22] |
Repairing geometric errors in 3D urban models with kinetic data structures
Yu M., Lafarge F., Oesau S. and Hilaire B. Journal of Photogrammetry and Remote Sensing,Vol. 192, 2022 |
[JPRS21] |
Floorplan generation from 3D point clouds: A space partitioning approach
Fang H., Lafarge F., Pan C. and Huang H. Journal of Photogrammetry and Remote Sensing,Vol. 175, 2021 |
[TOG20] |
Kinetic Shape Reconstruction
Bauchet J.P., and Lafarge F. ACM Trans. on Graphics, Vol. 39(5), 2020 |
[PAMI20] |
Extracting Geometric Structures in Images with Delaunay Point Processes
Favreau J.D., Lafarge F., Bousseau A. and Auvolat A. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 42(4): pages 837-850, 2020 |
[PERS19] |
A learning approach to evaluate the quality of 3D city models
Ennafii O., Le Bris A., Lafarge F. and Mallet C. Photogrammetric engineering and remote sensing,Vol. 85(12), 2019 |
[JPRS19] |
Pyramid Scene Parsing Network in 3D: improving semantic segmentation of point clouds with multi-scale contextual information
Fang H. and Lafarge F. Journal of Photogrammetry and Remote Sensing,Vol. 154, 2019 |
[TOG17] |
Photo2ClipArt: Image Abstraction and Vectorization Using Layered Linear Gradients
Favreau J.D., Lafarge F. and Bousseau A. ACM Trans. on Graphics (Proceedings of SIGGRAPH ASIA), Vol. 36(6), 2017 |
[JPRS17a] |
Semantic segmentation of 3D textured meshes for urban scene analysis
Rouhani M., Lafarge F. and Alliez P. Journal of Photogrammetry and Remote Sensing, Vol. 123, 2017 |
[JPRS17b] |
Forest point processes for the automatic extraction of networks in raster data
Schmidt A., Lafarge F., Brenner C., Rottensteiner F. and Heipke C. Journal of Photogrammetry and Remote Sensing, Vol. 125, 2017 |
[TOG16] |
Fidelity vs. simplicity: a global approach to line drawing vectorization
Favreau J.D., Lafarge F. and Bousseau A. ACM Trans. on Graphics (Proceedings of SIGGRAPH), Vol. 35(4), 2016 |
[CGF16] |
Planar Shape Detection and Regularization in Tandem
Oesau S., Lafarge F. and Alliez P. Computer Graphics Forum, Vol. 35(1), 2016 |
[TOG15] |
LOD Generation for Urban Scenes
Verdie Y., Lafarge F. and Alliez P. ACM Trans. on Graphics, Vol. 34(3), 2015 |
[CGF15] |
Structure-Aware Mesh Decimation
Salinas D., Lafarge F. and Alliez P. Computer Graphics Forum, Vol. 34(6), 2015 |
[JPRS14] |
Indoor Scene Reconstruction using Feature Sensitive Primitive Extraction and Graph-cut
Oesau S., Lafarge F. and Alliez P. Journal of Photogrammetry and Remote Sensing, Vol. 90, pages 68-82, 2014 |
[IJCV14] |
Detecting parametric objects in large scenes by Monte Carlo sampling
Verdie Y. and Lafarge F. International Journal of Computer Vision, Vol. 106(1), pages 57-75, 2014 |
[GM14] |
Zometool Shape Approximation
Zimmer H., Lafarge F., Alliez P. and Kobbelt L. Graphical Models (Proceedings of GMP), Vol. 76(5), 2014 |
[PAMI13] |
A hybrid multi-view stereo algorithm for modeling urban scenes
Lafarge F., Keriven R., Bredif M. and Vu H. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 35(1): pages 5-17, 2013 |
[CGF13] |
Surface reconstruction through point set structuring
Lafarge F. and Alliez P. Computer Graphics Forum (Proceedings of Eurographics conference), Vol. 34(6), 2015 |
[IJCV12] |
Creating large-scale city models from 3D-point clouds: a robust approach with hybrid representation
Lafarge F. and Mallet C. International Journal of Computer Vision, Vol. 99(1), pages 69-85, 2012 |
[PAMI10b] |
Geometric feature extraction by a multi-marked point process
Lafarge F., Gimel'farb G. and Descombes X. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 32(9), pages 1597-1609, 2010 |
[IP10b] |
A marked point process for modeling Lidar waveforms
Mallet C., Lafarge F., Roux M., Soergel U., Bretar F. and Heipke C. IEEE Trans. on Image Processing, Vol. 19(12), pages 3204-3221, 2010 |
[IP10a] |
Insertion of 3D-primitives in mesh-based representations: Towards compact models preserving the details
Lafarge F., Keriven, R. and Bredif, M. IEEE Trans. on Image Processing, Vol. 19(7), 1683-1694, 2010 |
[PAMI10a] |
Structural approach for building reconstruction from a single DSM
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 32(1), pages 135-147, 2010 |
[JPRS08] |
Automatic building extraction from DEMs using an object approach and application to the 3D-city modeling
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. Journal of Photogrammetry and Remote Sensing, Vol. 63(3), pages 365-381, 2008 |
Conferences |
[ECCV24a] |
LineFit: A Geometric Approach for Fitting Line Segments in Images
Boyer M., Youssefi D. and Lafarge F. Proc. of the European Conference on Computer Vision (ECCV), 2024 |
[ECCV24b] |
Concise Plane Arrangements for Low-Poly Surface and Volume Modelling
Sulzer R. and Lafarge F. Proc. of the European Conference on Computer Vision (ECCV), 2024 |
[CVPRW24] |
SimpliCity: Reconstructing Buildings with Simple Regularized 3D Models
Bauchet J.P., Sulzer R., Lafarge F. and Tarabalka Y. Proc. of the CVPR USM3D Workshop (CVPRW), 2024 |
[CVPR22] |
Finding Good Configurations of Planar Primitives in Unorganized Point Clouds
Yu M. and Lafarge F. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2022 |
[CVPRW22] |
Single-Shot End-to-end Road Graph Extraction
Bahl G., Bahri M. and Lafarge F. Proc. of the CVPR EarthVision Workshop (CVPRW), 2022 |
[ArXi22] |
SCR: Smooth Contour Regression with Geometric Priors
Bahl G., Daniel L. and Lafarge F. ArXiv:2202.03784, 2022 |
[IGARSS22] |
Scanner Neural Network for On-board Segmentation of Satellite Images
Bahl G. and Lafarge F. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022 |
[BMVC21] |
Planar Shape Based Registration for Multi-modal Geometry
Li M. and Lafarge F. Proc. of the British Machine Vision Conference (BMVC), 2021 |
[CVPR20a] |
Approximating shapes in images with low-complexity polygons
Li, M., Lafarge F. and Marlet, R. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2020 |
[CVPR20b] |
Connect-and-Slice: an hybrid approach for reconstructing 3D objects
Fang H. and Lafarge F. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2020 |
[ICCVW19] |
Low-power neural networks for semantic segmentation of satellite images
Bahl G., Daniel L., Moretti M. and Lafarge F. Proc. of the ICCV Workshop on Low-Power Computer Vision, 2019 |
[3DGEO19] |
City Reconstruction from Airborne Lidar: A Computational Geometry Approach
Bauchet J.P. and Lafarge F. Proc. of 3D GeoInfo, 2019 |
[IGARSS19] |
Scalable evaluation of 3D city models
Ennafii O., Le Bris A., Lafarge F. and Mallet C.. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019 |
[CVPR18a] |
KIPPI: KInetic Polygonal Partitioning of Images
Bauchet J.P. and Lafarge F. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2018 |
[CVPR18b] |
Planar Shape Detection at Structural Scales
Fang H., Lafarge F. and Desbrun M. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2018 |
[ECCV16] |
Towards large-scale city reconstruction from satellites
Duan L. and Lafarge F. Proc. of the European Conference on Computer Vision (ECCV), 2016 |
[ISPRS16] |
Object Classification via Planar Abstraction
Oesau S., Lafarge F. and Alliez P. Proc. of the ISPRS Congress, 2016 |
[CVPR15a] |
Image Partitioning into Convex Polygons
Duan L. and Lafarge F. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2015 |
[CVPR15b] |
Line Drawing Interpretation in a Multi-View Context
Favreau J.D., Lafarge F. and Bousseau A. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2015 |
[JURSE15] |
Some new research directions to explore in urban reconstruction
Lafarge F. Proc. of Joint Urban Remote Sensing Event (JURSE), 2015 |
[CVPR13] |
Recovering line-networks in images by junction-point processes
Chai D., Forstner, W. and Lafarge F. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2013 |
[UDMV13] |
Indoor scene reconstruction using primitive-driven space partitioning and graph-cut
Oesau V., Lafarge F. and Alliez P. Proc. of Eurographics workshop on Urban Data Modeling and Visualisation (UDMV), 2013 |
[ECCV12] |
Efficient Monte Carlo sampler for detecting parametric objects in large scenes
Verdie Y. and Lafarge F. Proc. of the European Conference on Computer Vision (ECCV), 2012 |
[ICCV11] |
Building large urban environments from unstructured point data
Lafarge F. and Mallet C. Proc. of the IEEE International Conference on Computer Vision (ICCV), 2011 |
[ICIP11] |
Generating compact meshes under planar constraints: an automatic approach for modeling buildings from lidar
Verdie Y., Lafarge F. and Zerubia J. Proc. of the IEEE International Conference on Image Processing(ICIP), 2011 |
[CVPR10] |
Hybrid multi-view reconstruction by jump-diffusion
Lafarge F., Keriven R., Bredif M. and Vu H. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2010 |
[ICIP09] |
Lidar waveform modeling using a marked point process
Mallet C., Lafarge F., Bretar F., Soergel U. and Heipke C. Proc. of the IEEE International Conference on Image Processing (ICIP), 2009 |
[BMVC09] |
Combining meshes and geometric primitives for accurate and semantic modeling
Lafarge F., Keriven R. and Bredif M. Proc. of the British Machine Vision Conference (BMVC), 2009 |
[LS09] |
A stochastic approach for modelling airborne lidar waveforms
Mallet C., Lafarge F., Bretar F., Roux M., Soergel U. and Heipke C. Proc. of Laser Scanning, 2009 |
[CVPR08] |
Building reconstruction from a single DEM
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2008 |
[BMVC08] |
Texture representation by geometric objects using a jump-diffusion process
Lafarge F. and Gimel'farb, G. Proc. of the British Machine Vision Conference (BMVC), 2008 |
[ISPRS08] |
A new computationally efficient stochastic approach for building reconstruction from satellite data
Lafarge F., Durupt M., Descombes X., Zerubia J. and Pierrot-Deseilligny M. Proc. of the ISPRS Congress, 2008 |
[ACIVS08] |
A geometric primitive extraction process for remote sensing problems
Lafarge F., Descombes X., and Gimel'farb, G. Proc. of Advanced Concepts for Intelligent Vision Systems (ACIVS), 2008 |
[EUSIPCO07] |
Forest fire detection based on Gaussian field analysis
Lafarge F., Descombes X., and Zerubia J. Proc. of the European Signal Processing Conference (EUSIPCO), 2007 |
[PIA07] |
Road marking detection with marked point processes
Tournaire O., Paparoditis N. and Lafarge F. ISPRS Photogrammetric Image Analysis conference (PIA), 2007 |
[ICIP07] |
3D city modeling based on hidden Markov model
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. Proc. of the IEEE International Conference on Image Processing (ICIP), 2007 |
[ICIP06] |
An automatic building reconstruction method: a structural approach using HR images
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. Proc. of the IEEE International Conference on Image Processing (ICIP), 2006 |
[ICASSP06] |
An automatic 3D city model: a Bayesian approach using satellite images
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2006 |
[ISPRS06] |
Automatic 3D building reconstruction from DEMs: an application to PLEIADES simulations
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. ISPRS Commission I Symposium, 2006 |
[ICIP05] |
Textural kernel for SVM classification in remote sensing: application to forest fire detection and urban area extraction
Lafarge F., Descombes X. and Zerubia J. Proc. of the IEEE International Conference on Image Processing (ICIP), 2005 |
Books / Book chapters |
[WIL11] |
Stochastic geometry for image analysis
Chatelain F., Descombes X., Lafarge F., Lantuejoul C., Mallet C., Minlos M., Schmitt M., Sigelle M., Stoica R., Zhizhina E. Wiley/Iste, d. X. Descombes, 2011 |
[HER11] |
Applications de la geometrie stochastique a l'analyse d'images
Chatelain F., Descombes X., Lafarge F., Lantuejoul C., Mallet C., Minlos M., Schmitt M., Sigelle M., Stoica R., Zhizhina E. Editions Hermes, 2011 (in french) |
French conferences and journals |
[SA08] |
Automatic 3D modeling of urban scenes from satellite images
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. SPACE APPLI, 2008 |
[TS07] |
Forest fire detection by statistical analysis of rare events from thermical infrared images.
Lafarge F., Descombes X., Zerubia J. and Mathieu, S. Traitement du Signal, Vol. 24(1), pages 2-13, 2007 |
[SFPT06] |
Automatic building reconstruction from DEMs.
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. Revue Francaise de Photogrammetrie et de Teledetection, Vol. 184: pages 48-53, 2006 |
[SFPT05] |
Parametric model for automatic 3D reconstruction of dense urban areas from
HR satellite images.
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny, M. Revue Francaise de Photogrammetrie et de Teledetection, Vol. 180: pages 4-12, 2005 |
[GRET05] |
Forest fire detection from TIR satellite images by statistical analysis of rare events
Lafarge F., Descombes X., Zerubia J. and Mathieu S. GRETSI, 2005 |
Research reports / Thesis |
[HDR14] |
Some contributions to geometric modeling of urban environments
Lafarge, F. Habilitation thesis (HDR), University of Nice Sophia Antipolis, France, 2014 |
[RR12b] |
Surface reconstruction through point set structuring
Lafarge F. and Alliez P. INRIA Research Report 8174, 2012 |
[RR12a] |
Towards the parallelization of Reversible Jump Markov Chain Monte Carlo algorithms for vision problems
Verdie Y. and Lafarge F. INRIA Research Report 8016, 2012 |
[RR11] |
Modeling urban landscapes from point clouds: a generic
approach
Lafarge F. and Mallet C. INRIA Research Report 7612, 2011 |
[PHD07] |
Stochastic models for tridimensional reconstruction of urban environments
Lafarge, F. PhD thesis, Ecole des Mines de Paris, France, 2007 (in french) |
[RR06b] |
A structural approach for 3D building reconstruction
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. INRIA Research Report 6048, 2006 |
[RR06a] |
An automatic building extraction method: application to the 3D city modeling
Lafarge F., Trontin P., Descombes X., Zerubia J. and Pierrot-Deseilligny M. INRIA Research Report 5925, 2006 |
[RR05] |
A parametric model for automatic 3D building reconstruction from HR satellite images.
Lafarge F., Descombes X., Zerubia J. and Pierrot-Deseilligny M. INRIA Research Report 5687, 2005 |
[RR04b] |
Textural kernels for SVM classification applied to remote sensing problems.
Lafarge F., Descombes X. and Zerubia J. INRIA Research Report 5370, 2004 (in french) |
[RR04a] |
Forest fire detection by statistical analysis of the radiometry of satellite images.
Lafarge F., Descombes X. and Zerubia J. INRIA Research Report 5369, 2004 (in french) |
[MAST04] |
Forest fire detection by radiometric and textural analysis.
Lafarge, F. Master thesis, SUPAERO, France, 2004 (in french) |
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