1 citations · 2 across the 5 of their papers we have counts for
5 papers
Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
Badr Moufad, Yazid Janati, Alain Durmus +3
Classifier-Free Guidance (CFG) is a widely used technique for improving conditional diffusion models by linearly combining the outputs of conditional and unconditional denoisers. W…
NERV++: An Enhanced Implicit Neural Video Representation
Ahmed Ghorbel, Wassim Hamidouche, Luce Morin
Neural fields, also known as implicit neural representations (INRs), have shown a remarkable capability of representing, generating, and manipulating various data types, allowing f…
ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression
Ahmed Ghorbel, Wassim Hamidouche, Luce Morin
Over the last few years, neural image compression has gained wide attention from research and industry, yielding promising end-to-end deep neural codecs outperforming their convent…
AICT: An Adaptive Image Compression Transformer
Ahmed Ghorbel, Wassim Hamidouche, Luce Morin
Motivated by the efficiency investigation of the Tranformer-based transform coding framework, namely SwinT-ChARM, we propose to enhance the latter, as first, with a more straightfo…
Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images
Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni +1
The quality of patient care associated with diagnostic radiology is proportionate to a physician workload. Segmentation is a fundamental limiting precursor to both diagnostic and t…