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Juan Merlos

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedEnabling Next-Generation Consumer Experience with Feature Coding for Machines

6 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2025★ 1 cited

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…

cs.CV2025★ 1 cited

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-…

cs.CV2025★ 1 cited

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…

cs.CV2025★ 6 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.