Recently, more and more images are compressed and sent to the back-end devices for the
machine analysis tasks~(\textit {eg,} object detection) instead of being purely watched by …

Prior research on deep video compression (DVC) for machine tasks typically necessitates
training a unique codec for each specific task mandating a dedicated decoder per task. In …

End-to-end learned image compression codecs have notably emerged in recent years.
These codecs have demonstrated superiority over conventional methods, showcasing …

Compression for machines is an emerging field, where inputs are encoded while optimizing
the performance of down-stream automated analysis. In scalable coding for humans and …

Abstract As the Internet of Things continues to grow and thrive, more and more data are
consumed by machines for intelligent analysis. How to simultaneously support fast machine …

We present methods for conditional and residual coding in the context of scalable coding for
humans and machines. Our focus is on optimizing the rate-distortion performance of the …

Over the last decade, deep learning has shown great success at performing computer vision
tasks, including classification, super-resolution, and style transfer. Now, we apply it to data …