Publications

You can also find my articles on my Google Scholar profile.

S. Herbreteau, E. Moebel, and C. Kervrann, “Normalization-Equivariant Neural Networks with Application to Image Denoising,” in Advances in Neural Information Processing Systems (NeurIPS), vol. 36, pp. 5706-5728, 2023.

S. Herbreteau and C. Kervrann, “DCT2net: An Interpretable Shallow CNN for Image Denoising,” in IEEE Transactions on Image Processing, vol. 31, pp. 4292-4305, 2022.

S. Herbreteau and C. Kervrann, “Towards a Unified View of Unsupervised Non-Local Methods for Image Denoising: The NL-Ridge Approach,” in IEEE International Conference on Image Processing (ICIP), pp. 3376-3380, Bordeaux, France, 2022.

Preprints

S. Herbreteau and C. Kervrann, “A unified framework of non-local parametric methods for image denoising,” arXiv preprint arXiv:2402.13816, 2024. (under review)

S. Herbreteau and C. Kervrann, “On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey,” arXiv preprint arXiv:2402.15352, 2024. (under review)

S. Herbreteau and C. Kervrann, “Unsupervised Linear and Iterative Combinations of Patches for Image Denoising,” arXiv preprint arXiv:2212.00422, 2022. (under review)

Patents

T. Guionnet and S. Herbreteau, `“Method for image processing and apparatus for implementing the same,” US Patent App. 17/390,509, 2022.

T. Guionnet and S. Herbreteau, “Method for image processing and apparatus for implementing the same,” US Patent App. 17/307,419, 2021.

Communications

S. Herbreteau and C. Kervrann, “DCT2net: a DCT-based interpretable shallow CNN method for efficient and fast image denoising,” in SIAM Conference on Imaging Science (IS22), virtual conference, 2022.

S. Herbreteau and C. Kervrann, “NL-Ridge: a novel statistical patch-based approach for image denoising,” in 10th International Conference on Curves and Surfaces, organised by SMAI-SIGMA, Arcachon, France, 2022.