Subjects of interest
Subjects of interest
Deep Learning, Computer Vision, Self Supervised Learning, Image Segmentation, Edge-based or Region-based Active Contours, Object Segementation and Recognition.
Publications and Pre-Publications
Makaroff, N., & Cohen, L. D. (2023, August). Chan-Vese Attention U-Net: An attention mechanism for robust segmentation. In International Conference on Geometric Science of Information (pp. 574-582). Cham: Springer Nature Switzerland.
Bertrand, T., Makaroff, N., & Cohen, L. D. (2023, May). Fast Marching Energy CNN. In International Conference on Scale Space and Variational Methods in Computer Vision (pp. 276-287). Cham: Springer International Publishing.
Talks and Conferences
2024,
May
Image Segmentation Using Chan-Vese Energy Minimization Coupled with a CNN Provided Mask.
Presentation at SIAM Conference on Imaging Science (IS24) Symposium on Synergy in Segmentation: Bridging Classical and Deep Learning Approaches in Atlanta, USA.
2024,
May
Region Segmentation Defined As the Unit Ball for the Geodesic Distance with Respect to a CNN Generated Riemannian Metric
Presentation at SIAM Conference on Imaging Science (IS24) Symposium on Synergy in Segmentation: Bridging Classical and Deep Learning Approaches in Atlanta, USA.
2023,
August
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation.
Presentation at GSI'23 6th International Conference on Geometric Science of Information in Saint-Malo, France.
2023,
June
An Introduction to Self-Supervised Learning.
Presentation at the Young Researchers Days in CEREMADE in Paris, France.
2023,
May
Fast Marching Energy CNN.
Presentation at the 9th International Conference on Scale Space and Variational Methods in Computer Vision in Sardinia, Italy
2020,
January
Machine Learning for Nuclear fission.
Presentation at a meeting between The Los Alamos National Laboratory and the CEA, Bruyères-Le-Châtel.