1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Prediction-Aware Quality Enhancement of VVC Using CNN
Fatemeh Nasiri, Wassim Hamidouche, Luce Morin +2
The upcoming video coding standard, Versatile Video Coding (VVC), has shown great improvement compared to its predecessor, High Efficiency Video Coding (HEVC), in terms of bitrate…