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20112023
most citedQuantization for decentralized learning under subspace constraints

34 citations · 72 across the 15 of their papers we have counts for

collaborators

16 papers

eess.IV2023

Image storage on synthetic DNA using compressive autoencoders and DNA-adapted entropy coders

Xavier Pic, Eva Gil San Antonio, Melpomeni Dimopoulou +1

Over the past years, the ever-growing trend on data storage demand, more specifically for "cold" data (rarely accessed data), has motivated research for alternative systems of data…

eess.IV2023★ 6 cited

MQ-Coder inspired arithmetic coder for synthetic DNA data storage

Xavier Pic, Melpomeni Dimopoulou, Eva Gil San Antonio +1

Over the past years, the ever-growing trend on data storage demand, more specifically for "cold" data (i.e. rarely accessed), has motivated research for alternative systems of data…

eess.IV2023

INR-MDSQC: Implicit Neural Representation Multiple Description Scalar Quantization for robust image Coding

Trung Hieu Le, Xavier Pic, Marc Antonini

Multiple Description Coding (MDC) is an error-resilient source coding method designed for transmission over noisy channels. We present a novel MDC scheme employing a neural network…

eess.IV2023

Rotating labeling of entropy coders for synthetic DNA data storage

Xavier Pic, Eva Gil San Antonio, Melpomeni Dimopoulou +1

Over the past years, the ever-growing trend on data storage demand, more specifically for "cold" data (i.e. rarely accessed), has motivated research for alternative systems of data…

eess.IV2023★ 1 cited

Multiple description video coding for real-time applications using HEVC

Trung Hieu Le, Marc Antonini, Marc Lambert +1

Remote control vehicles require the transmission of large amounts of data, and video is one of the most important sources for the driver. To ensure reliable video transmission, the…

eess.IV2022

Learning sparse auto-encoders for green AI image coding

Cyprien Gille, Frédéric Guyard, Marc Antonini +1

Recently, convolutional auto-encoders (CAE) were introduced for image coding. They achieved performance improvements over the state-of-the-art JPEG2000 method. However, these perfo…