Publication

Iterative Multiview Side Information for Enhanced Reconstruction in Distributed Video Coding

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Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming

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Ieee-Inst Electrical Electronics Engineers Inc2024

Evaluating the effect of sparse convolutions on point cloud compression

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The use of point clouds as an imaging modality has been rapidly growing, motivating research on compression methods to enable efficient transmission and storage for many applications. While compression standards relying on conven- tional techniques such as ...

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On the assessment of high-quality images: advances on the JPEG AIC-3 activity

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Recent advances in image compression have made it both possible and desirable for image quality to approach the visually lossless range. However, the most commonly used subjective visual quality assessment protocols, e.g. those reported in ITU-T Rec. BT.50 ...

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On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression

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The past decades have witnessed rapid growth in imaging as a major form of communication between individuals. Due to recent advances in capture, storage, delivery and display technologies, consumers demand improved perceptual quality while requiring reduce ...

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In the field of image acquisition, Dynamic Vision Sensors (DVS) present an innovative methodology, capturing only the variations in pixel brightness instead of absolute values and thereby revealing unique features. Given that the primary deployment of DVS ...

2023

JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range

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Visual data play a crucial role in modern society, and the rate at which images and videos are acquired, stored, and exchanged every day is rapidly increasing. Image compression is the key technology that enables storing and sharing of visual content in an ...

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Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

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In 1948, Claude Shannon laid the foundations of information theory, which grew out of a study to find the ultimate limits of source compression, and of reliable communication. Since then, information theory has proved itself not only as a quest to find the ...

EPFL2023

Communication-efficient distributed training of machine learning models

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In this thesis, we explore techniques for addressing the communication bottleneck in data-parallel distributed training of deep learning models. We investigate algorithms that either reduce the size of the messages that are exchanged between workers, or th ...

EPFL2023