1.4k citations
- Friedrich-Alexander-Universität Erlangen-NürnbergDE49 papers
- Oak Ridge National LaboratoryUS32 papers
- Centre National de la Recherche ScientifiqueFR24 papers
- North Carolina State UniversityUS24 papers
- University of Tennessee at KnoxvilleUS24 papers
- Friedrich Schiller University JenaDE22 papers
- Max Planck Institute for Gravitational PhysicsDE20 papers
- Pennsylvania State UniversityUS20 papers
- Carnegie ObservatoriesUS18 papers
- Carnegie Institution for ScienceUS17 papers
- The University of Texas at AustinUS17 papers
- Astronomical Observatory of RomeIT16 papers
22 papers · 1 filter
Quench induced collective excitations: from breathing to acoustic modes
Shicong Song, Ke Wang, Zhengli Wu +3
In trapped Bose-Einstein condensates, interaction quenches which are abrupt changes of the interaction strength typically implemented via Feshbach tuning, are a practical and widel…
Feature Compression for Machines with Range-Based Channel Truncation and Frame Packing
Juan Merlos, Fabien Racapé, Hyomin Choi +2
This paper proposes a method that enhances the compression performance of the current model under development for the upcoming MPEG standard on Feature Coding for Machines (FCM). T…
Feature Coding for Scalable Machine Vision
Md Eimran Hossain Eimon, Juan Merlos, Ashan Perera +3
Deep neural networks (DNNs) drive modern machine vision but are challenging to deploy on edge devices due to high compute demands. Traditional approaches-running the full model on-…
ROI-Packing: Efficient Region-Based Compression for Machine Vision
Md Eimran Hossain Eimon, Alena Krause, Ashan Perera +4
This paper introduces ROI-Packing, an efficient image compression method tailored specifically for machine vision. By prioritizing regions of interest (ROI) critical to end-task ac…
Efficient Feature Compression for Machines with Global Statistics Preservation
Md Eimran Hossain Eimon, Hyomin Choi, Fabien Racapé +4
The split-inference paradigm divides an artificial intelligence (AI) model into two parts. This necessitates the transfer of intermediate feature data between the two halves. Here,…
Enabling Next-Generation Consumer Experience with Feature Coding for Machines
Md Eimran Hossain Eimon, Juan Merlos, Ashan Perera +3
As consumer devices become increasingly intelligent and interconnected, efficient data transfer solutions for machine tasks have become essential. This paper presents an overview o…