3 citations · 4 across the 5 of their papers we have counts for
5 papers
Accelerated Exact Recovery from Noisy Data via Averaging and Noise-Aware Adaptive Bregman-Kaczmarz
Lionel Tondji, Abakar A. Mahamat, Idriss Tondji
The adaptive Bregman-Kaczmarz method recovers the exact, noise-free solution of a linear inverse problem even when every measurement it queries is corrupted, provided the corruptio…
The State of Computer Vision Research in Africa
Abdul-Hakeem Omotayo, Ashery Mbilinyi, Lukman Ismaila +16
Despite significant efforts to democratize artificial intelligence (AI), computer vision which is a sub-field of AI, still lags in Africa. A significant factor to this, is the limi…
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation
Hesham Ali, Idriss Tondji, Mennatullah Siam
AI-assisted nuclei segmentation in histopathological images is a crucial task in the diagnosis and treatment of cancer diseases. It decreases the time required to manually screen m…
Adaptive Bregman-Kaczmarz: An Approach to Solve Linear Inverse Problems with Independent Noise Exactly
Lionel Tondji, Idriss Tondji, Dirk A. Lorenz
We consider the block Bregman-Kaczmarz method for finite dimensional linear inverse problems. The block Bregman-Kaczmarz method uses blocks of the linear system and performs iterat…
Towards a Better Understanding of the Computer Vision Research Community in Africa
Abdul-Hakeem Omotayo, Mai Gamal, Eman Ehab +11
Computer vision is a broad field of study that encompasses different tasks (e.g., object detection). Although computer vision is relevant to the African communities in various appl…