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researcher

A. Said

13 papers hereh-index 279.8k citations135 works total

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

author position
  • sole author2
  • first author5
  • middle author6

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • eess.IV8
  • cs.LG2
  • cs.CV1
  • cs.IT1
  • cs.MM1
same name
  • A. Said — 42 papers, h 30
  • A. Said — 10 papers, h 5
  • A. Said — 6 papers, h 4
  • A. Said — 5 papers, h 4
  • A. Said — 4 papers, h 5
  • A. Said — 2 papers, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedIntroduction to Arithmetic Coding -- Theory and Practice

107 citations · 189 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

eess.IV2023

New Filters for Image Interpolation and Resizing

Amir Said

We propose a new class of kernels to simplify the design of filters for image interpolation and resizing. Their properties are defined according to two parameters, specifying the w…

cs.IT2023★ 107 cited

Introduction to Arithmetic Coding -- Theory and Practice

Amir Said

This introduction to arithmetic coding is divided in two parts. The first explains how and why arithmetic coding works. We start presenting it in very general terms, so that its si…

eess.IV2023★ 5 cited

Differentiable bit-rate estimation for neural-based video codec enhancement

Amir Said, Manish Kumar Singh, Reza Pourreza

Neural networks (NN) can improve standard video compression by pre- and post-processing the encoded video. For optimal NN training, the standard codec needs to be replaced with a c…

eess.IV2023★ 1 cited

Optimized learned entropy coding parameters for practical neural-based image and video compression

Amir Said, Reza Pourreza, Hoang Le

Neural-based image and video codecs are significantly more power-efficient when weights and activations are quantized to low-precision integers. While there are general-purpose tec…

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