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20162026
most citedLearning Graphs with Monotone Topology Properties and Multiple Connected Components

55 citations · 147 across the 9 of their papers we have counts for

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5 papers · 1 filter

eess.IV2026

Transform and Entropy Coding in AV2

Alican Nalci, Hilmi E. Egilmez, Madhu P. Krishnan +21

AV2 is the successor to the AV1 video coding standard developed by the Alliance for Open Media (AOMedia). Its primary objective is to deliver substantial compression gains and subj…

eess.IV2025★ 3 cited

Low-Complexity Transform Adjustments For Video Coding

Amir Said, Hilmi E. Egilmez, Yung-Hsuan Chao

Recent video codecs with multiple separable transforms can achieve significant coding gains using asymmetric trigonometric transforms (DCTs and DSTs), because they can exploit dive…

eess.IV2025★ 10 cited

Highly Efficient Non-Separable Transforms for Next Generation Video Coding

Amir Said, Xin Zhao, Marta Karczewicz +3

For the last few decades, the application of signal-adaptive transform coding to video compression has been stymied by the large computational complexity of matrix-based solutions.…

eess.IV2021★ 19 cited

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…

eess.IV2019★ 32 cited

Graph-based Transforms for Video Coding

Hilmi E. Egilmez, Yung-Hsuan Chao, Antonio Ortega

In many state-of-the-art compression systems, signal transformation is an integral part of the encoding and decoding process, where transforms provide compact representations for t…