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M. Karczewicz

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.MM1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedA Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2021★ 2 cited

A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space

Ankitesh K. Singh, Hilmi E. Egilmez, Reza Pourreza +3

Most of the existing deep learning based end-to-end video coding (DLEC) architectures are designed specifically for RGB color format, yet the video coding standards, including H.26…

eess.IV2021

Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces

Hilmi E. Egilmez, Ankitesh K. Singh, Muhammed Coban +5

Most of the existing deep learning based end-to-end image/video coding (DLEC) architectures are designed for non-subsampled RGB color format. However, in order to achieve a superio…

cs.MM2019

Parametric Graph-based Separable Transforms for Video Coding

Hilmi E. Egilmez, Oguzhan Teke, Amir Said +2

In many video coding systems, separable transforms (such as two-dimensional DCT-2) have been used to code block residual signals obtained after prediction. This paper proposes a pa…

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