392 citations
- Friedrich-Alexander-Universität Erlangen-NürnbergDE14 papers
- Centre National de la Recherche ScientifiqueFR12 papers
- Dartmouth CollegeUS10 papers
- North Carolina State UniversityUS10 papers
- Oak Ridge National LaboratoryUS10 papers
- Instituto de Astrofísica de CanariasES9 papers
- Iowa State UniversityUS9 papers
- University of Tennessee at KnoxvilleUS9 papers
- Astronomical Observatory of RomeIT8 papers
- Astronomical Observatory of CapodimonteIT7 papers
- Cerro Tololo Inter-American ObservatoryCL7 papers
- Friedrich Schiller University JenaDE7 papers
6 papers · 2 filters
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…
New VVC profiles targeting Feature Coding for Machines
Md Eimran Hossain Eimon, Ashan Perera, Juan Merlos +2
Modern video codecs have been extensively optimized to preserve perceptual quality, leveraging models of the human visual system. However, in split inference systems-where intermed…
ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching
Mahmoud Tahmasebi, Saif Huq, Kevin Meehan +1
Stereo matching has become an increasingly important component of modern autonomous systems. Developing deep learning-based stereo matching models that deliver high accuracy while…