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Collaborations and top research areas from the last five years
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Neural Film Grain Rendering
Lesné, G., Gousseau, Y., Ladjal, S. & Newson, A., 1 May 2025, In: Computer Graphics Forum. 44, 2, e70076.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep-Learning Uncertainty Estimation for Data-Consistent Breast Tomosynthesis Reconstruction
Quillent, A., Bismuth, V., Bloch, I., Kervazo, C. & Ladjal, S., 1 Jan 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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DISENTANGLING TIME SERIES REPRESENTATIONS VIA CONTRASTIVE INDEPENDENCE-OF-SUPPORT ON l-VARIATIONAL INFERENCE
Oublal, K., Ladjal, S., Benhaiem, D., Le-Borgne, E. & Roueff, F., 1 Jan 2024.Research output: Contribution to conference › Paper › peer-review
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Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images Using Fully Synthetic Training
Xu, X., Gousseau, Y., Kervazo, C. & Ladjal, S., 1 Jan 2024, 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2024. IEEE Computer Society, (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing
Lesné, G., Gousseau, Y., Ladjal, S. & Newson, A., 30 Nov 2023, Proceedings - CVMP 2023: 20th ACM SIGGRAPH European Conference on Visual Media Production. Spencer, S. N. (ed.). Association for Computing Machinery, Inc, 3. (Proceedings - CVMP 2023: 20th ACM SIGGRAPH European Conference on Visual Media Production).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction
Quillent, A., Bismuth, V., Bloch, I., Kervazo, C. & Ladjal, S., 1 Jan 2023, In: Proceedings of Machine Learning Research. 227, p. 1813-1825 13 p.Research output: Contribution to journal › Conference article › peer-review
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DISCOV: A Time Series Representations Disentanglement via Contrastive for Non-Intrusive Load Monitoring (NILM)
Oublal, K., Ladjal, S., Benhaiem, D., Le-Borgne, E. & Roueff, F., 1 Jan 2023, In: Proceedings of Machine Learning Research. 243, p. 209-222 14 p.Research output: Contribution to journal › Conference article › peer-review
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Fully synthetic training for image restoration tasks
Achddou, R., Gousseau, Y. & Ladjal, S., 1 Aug 2023, In: Computer Vision and Image Understanding. 233, 103723.Research output: Contribution to journal › Article › peer-review
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Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras
Achddou, R., Gousseau, Y. & Ladjal, S., 1 Jan 2023, Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings. Calatroni, L., Donatelli, M., Morigi, S., Prato, M. & Santacesaria, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 314-325 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14009 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Learning Raw Image Denoising Using a Parametric Color Image Model
Achddou, R., Gousseau, Y. & Ladjal, S., 1 Jan 2023, 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings. IEEE Computer Society, p. 2690-2694 5 p. (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review