3 citations · 5 across the 3 of their papers we have counts for
5 papers
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
Huichan Seo, Sieun Choi, Minki Hong +8
Generative image models produce striking visuals yet often misrepresent culture. Prior work has examined cultural bias mainly in text-to-image (T2I) systems, leaving image-to-image…
Brain Tumor Segmentation in Sub-Sahara Africa with Advanced Transformer and ConvNet Methods: Fine-Tuning, Data Mixing and Ensembling
Toufiq Musah, Chantelle Amoako-Atta, John Amankwaah Otu +21
Brain tumors are among the deadliest cancers worldwide, with particularly devastating impact in Sub-Saharan Africa (SSA) where limited access to medical imaging infrastructure and…
Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond
Mardhiyah Sanni, Tassallah Abdullahi, Devendra D. Kayande +9
Speech technologies are transforming interactions across various sectors, from healthcare to call centers and robots, yet their performance on African-accented conversations remain…
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…
Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI
Lukman Ismaila, Pejman Rasti, Jean-Michel Lemée +1
We refer to a machine learning situation where models based on classical convolutional neural networks have shown good performance. We are investigating different encoding techniqu…