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pro vyhledávání: '"Brahimi, Mohammed"'
Neural approaches have shown a significant progress on camera-based reconstruction. But they require either a fairly dense sampling of the viewing sphere, or pre-training on an existing dataset, thereby limiting their generalizability. In contrast, p
Externí odkaz:
http://arxiv.org/abs/2404.00098
Computer aided detection and diagnosis systems based on deep learning have shown promising performance in breast cancer detection. However, there are cases where the obtained results lack justification. In this study, our objective is to highlight th
Externí odkaz:
http://arxiv.org/abs/2305.20058
We propose an end-to-end inverse rendering pipeline called SupeRVol that allows us to recover 3D shape and material parameters from a set of color images in a super-resolution manner. To this end, we represent both the bidirectional reflectance distr
Externí odkaz:
http://arxiv.org/abs/2212.04968
Uncalibrated photometric stereo aims at estimating the 3D-shape of a surface, given a set of images captured from the same viewing angle, but under unknown, varying illumination. While the theoretical foundations of this inverse problem under directi
Externí odkaz:
http://arxiv.org/abs/1911.07268
Recently, many works have been inspired by the success of deep learning in computer vision for plant diseases classification. Unfortunately, these end-to-end deep classifiers lack transparency which can limit their adoption in practice. In this paper
Externí odkaz:
http://arxiv.org/abs/1905.13523
Publikováno v:
Multimedia Tools & Applications; Nov2024, Vol. 83 Issue 36, p86141-86160, 20p
Autor:
El Brahimi, Mohammed, Mastere, Mohamed, Benzougagh, Brahim, El Fellah, Bouchta, Fartas, Najia, Ladel, Latifa, Sbihi, Ayyoub, Turyasingura, Benson, Alsulamy, Saleh, Khedher, Khaled Mohamed, Shohan, Ahmed Ali A., Salem, Mohamed Abdelaziz, Alluqmani, Ayed Eid
Publikováno v:
Euro-Mediterranean Journal for Environmental Integration; Sep2024, Vol. 9 Issue 3, p1157-1180, 24p
Autor:
Brahimi, Mohammed1,2 (AUTHOR) m_brahimi@esi.dz, Boukhalfa, Kamel1 (AUTHOR), Moussaoui, Abdelouahab3 (AUTHOR)
Publikováno v:
Applied Artificial Intelligence. 2017, Vol. 31 Issue 4, p299-315. 17p.
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