392 citations
- Centre National de la Recherche ScientifiqueFR9 papers
- Dartmouth CollegeUS8 papers
- Instituto de Astrofísica de CanariasES8 papers
- Iowa State UniversityUS8 papers
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- Astronomical Observatory of RomeIT7 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE7 papers
- Oak Ridge National LaboratoryUS7 papers
- Astronomical Observatory of CapodimonteIT6 papers
- Carnegie ObservatoriesUS6 papers
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- Space Telescope Science InstituteUS6 papers
7 papers · 1 filter
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…
Research Experience of an Undergraduate Student in Computer Vision and Robotics
Ayush V. Gowda, Juan D. Yepes, Daniel Raviv
This paper focuses on the educational journey of a computer engineering undergraduate student venturing into the domain of computer vision and robotics. It explores how optical flo…
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning
Felix Anda, David Lillis, Aikaterini Kanta +4
Achieving high performance for facial age estimation with subjects in the borderline between adulthood and non-adulthood has always been a challenge. Several studies have used diff…