Francois Bernard Lauze

Francois Bernard Lauze

Associate Professor


  1. 2023
  2. Published

    Refractive Pose Refinement: Generalising the Geometric Relation between Camera and Refractive Interface

    Hu, X., Lauze, Francois Bernard & Steenstrup Pedersen, Kim, 2023, In: International Journal of Computer Vision. 131, 6, p. 1448-1476

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. 2022
  4. Published

    Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation

    Liu, Renfei, Lauze, Francois Bernard, Erleben, Kenny, Berg, Rune W. & Darkner, Sune, 2022, In: Journal of Medical Imaging. 9, 6, 14 p., 064002.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Group Convolutional Neural Networks for DWI Segmentation

    Liu, Renfei, Lauze, Francois Bernard, Bekkers, E. J. & Erleben, Kenny, 2022, In: Proceedings of Machine Learning Research. 2022, 1, p. 1-11

    Research output: Contribution to journalConference articleResearch

  6. Published

    Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images

    Jensen, H. G., Lauze, Francois Bernard & Darkner, Sune, 2022, In: Journal of Mathematical Imaging and Vision. 64, p. 1-16

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. 2021
  8. Published

    Absolute and Relative Pose Estimation in Refractive Multi View

    Hu, X., Lauze, Francois Bernard, Steenstrup Pedersen, Kim & Melou, J., 2021, Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, p. 2569-2578

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published

    Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning

    Liu, Renfei, Lauze, Francois Bernard, Erleben, Kenny & Darkner, Sune, 2021, Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Cetin-Karayumak, S., Christiaens, D., Figini, M., Guevara, P., Gyori, N., Nath, V. & Pieciak, T. (eds.). Springer, p. 121-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13006 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    First Order Locally Orderless Registration

    Darkner, Sune, Vidarte, J. D. T. & Lauze, Francois Bernard, 2021, Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J. & Simon, L. (eds.). Springer, p. 177-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12679 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  11. Published

    Learning Defects in Old Movies from Manually Assisted Restoration

    Renaudeau, A., Seng, T., Carlier, A., Pierre, F., Lauze, Francois Bernard, Aujol, J. F. & Durou, J., 2021, 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, p. 5254-5261

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. 2020
  13. Published

    Refractive Multi-view Stereo

    Cassidy, M., Melou, J., Queau, Y., Lauze, Francois Bernard & Durou, J. D., 2020, Proceedings, 2020 International Conference on 3D Vision (3DV). IEEE, p. 384-393

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  14. 2019
  15. Published

    Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies

    Renaudeau, A., Lauze, Francois Bernard, Pierre, F., Aujol, J. F. & Durou, J. D., 2019, Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. Lellmann, J., Modersitzki, J. & Burger, M. (eds.). Springer, p. 104-116 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11603 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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