235 citations · 244 across the 3 of their papers we have counts for
4 papers
Frequency-aware Learned Image Compression for Quality Scalability
Hyomin Choi, Fabien Racape, Shahab Hamidi-Rad +2
Spatial frequency analysis and transforms serve a central role in most engineered image and video lossy codecs, but are rarely employed in neural network (NN)-based approaches. We…
End-to-end optimized image compression for multiple machine tasks
Lahiru D. Chamain, Fabien Racapé, Jean Bégaint +2
An increasing share of captured images and videos are transmitted for storage and remote analysis by computer vision algorithms, rather than to be viewed by humans. Contrary to tra…
End-to-end optimized image compression for machines, a study
Lahiru D. Chamain, Fabien Racapé, Jean Bégaint +2
An increasing share of image and video content is analyzed by machines rather than viewed by humans, and therefore it becomes relevant to optimize codecs for such applications wher…
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Jean Bégaint, Fabien Racapé, Simon Feltman +1
This paper presents CompressAI, a platform that provides custom operations, layers, models and tools to research, develop and evaluate end-to-end image and video compression codecs…