Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 3P. Alliez, R. Di Cosmo, B. Guedj, A. Girault, M.-S. Hacid, A. Legrand, N. P. Rougier.

    Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria, in: Computing in Science & Engineering, 2019, pp. 1-14, https://arxiv.org/abs/1905.11123. [ DOI : 10.1109/MCSE.2019.2949413 ]

  • 4G. Cherchi, P. Alliez, R. Scateni, M. Lyon, D. Bommes.

    Selective Padding for Polycube-Based Hexahedral Meshing, in: Computer Graphics Forum, January 2019. [ DOI : 10.1111/cgf.13593 ]

  • 5O. Ennafii, A. Le Bris, F. Lafarge, C. Mallet.

    A learning approach to evaluate the quality of 3D city models, in: Photogrammetric engineering and remote sensing, 2019, forthcoming.

  • 6H. Fang, F. Lafarge.

    Pyramid Scene Parsing Network in 3D: improving semantic segmentation of point clouds with multi-scale contextual information, in: ISPRS Journal of Photogrammetry and Remote Sensing, 2019, forthcoming.

  • 7J.-D. Favreau, F. Lafarge, A. Bousseau, A. Auvolat.

    Extracting Geometric Structures in Images with Delaunay Point Processes, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019. [ DOI : 10.1109/TPAMI.2018.2890586 ]

  • 8S. Lefèvre, D. Sheeren, O. Tasar.

    A Generic Framework for Combining Multiple Segmentations in Geographic Object-Based Image Analysis, in: ISPRS International Journal of Geo-Information, 2019, vol. 8, no 2. [ DOI : 10.3390/ijgi8020070 ]

  • 9O. Tasar, Y. Tarabalka, P. Alliez.

    Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data, in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, September 2019, vol. 12, no 9, pp. 3524-3537. [ DOI : 10.1109/JSTARS.2019.2925416 ]


Invited Conferences

  • 10N. Girard, G. Charpiat, Y. Tarabalka.

    Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data, in: IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019, https://arxiv.org/abs/1903.06529.

  • 11A. Khalel, O. Tasar, G. Charpiat, Y. Tarabalka.

    Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation, in: IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.

  • 12O. Tasar, Y. Tarabalka, P. Alliez.

    Continual Learning for Dense Labeling of Satellite Images, in: IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.


International Conferences with Proceedings

  • 13G. Bahl, L. Daniel, M. Moretti, F. Lafarge.

    Low-power neural networks for semantic segmentation of satellite images, in: ICCV Workshop on Low-Power Computer Vision, Seoul, South Korea, October 2019.

  • 14J.-P. Bauchet, F. Lafarge.

    City Reconstruction from Airborne Lidar: A Computational Geometry Approach, in: 3D GeoInfo 2019 - 14thConference 3D GeoInfo, Singapore, Singapore, September 2019.

  • 15G. Charpiat, N. Girard, L. Felardos, Y. Tarabalka.

    Input Similarity from the Neural Network Perspective, in: Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2019.

  • 16O. Ennafii, A. Le Bris, F. Lafarge, C. Mallet.

    Scalable Evaluation of 3D City Models, in: IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.

  • 17O. Ennafii, C. Mallet, A. Le Bris, F. Lafarge.

    The necessary yet complex evaluation of 3D city models: a semantic approach, in: JURSE 2019 - Joint Urban Remote Sensing Event, Vannes, France, May 2019.

  • 18M. Li, P. Tu, W. Heidrich.

    Robust Joint Image Reconstruction from Color and Monochrome Cameras, in: British Machine Vision Conference, Cardiff, United Kingdom, Proceedings of the British Machine Vision Conference, September 2019, To appear in the proceedings.

  • 19C. Portaneri, P. Alliez, M. Hemmer, L. Birklein, E. Schoemer.

    Cost-driven framework for progressive compression of textured meshes, in: ACM 2019 - 10th Multimedia Systems Conference, Amherst, United States, ACM Press, June 2019, pp. 175-188. [ DOI : 10.1145/3304109.3306225 ]


Conferences without Proceedings

  • 20V. Vadez, F. Brunetti, P. Alliez.

    First steps of numerical simulation using Artificial Intelligence, in: European Space Thermal Engineering Workshop 2019, Amsterdam, Netherlands, October 2019.


Internal Reports

Other Publications

  • 22D. Cohen-Steiner, A. Lieutier, J. Vuillamy.

    Lexicographic optimal homologous chains and applications to point cloud triangulations, December 2019, working paper or preprint.

  • 23D. Cohen-Steiner, A. Lieutier, J. Vuillamy.

    Regular triangulations as lexicographic optimal chains, December 2019, working paper or preprint.

  • 24O. Tasar, S. L. Happy, Y. Tarabalka, P. Alliez.

    ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks, November 2019, working paper or preprint.

  • 25O. Tasar, Y. Tarabalka, P. Alliez, A. Giros, S. Clerc.

    From Satellite Images to Vector Representations, November 2019, JC2 - 14èmes Journées CNES Jeunes Chercheurs, Poster.