Hilmi E. Egilmez | DeepAI

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∙ 04/01/2021

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

Most of the existing deep learning based end-to-end video coding (DLEC) ...

0 Ankitesh K. Singh, et al. ∙

∙ 02/27/2021

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

Most of the existing deep learning based end-to-end image/video coding (...

0 Hilmi E. Egilmez, et al. ∙

∙ 11/16/2019

Parametric Graph-based Separable Transforms for Video Coding

In many video coding systems, separable transforms (such as two-dimensio...

0 Hilmi E. Egilmez, et al. ∙

∙ 09/03/2019

Graph-based Transforms for Video Coding

In many state-of-the-art compression systems, signal transformation is a...

0 Hilmi E. Egilmez, et al. ∙

∙ 03/07/2018

Graph Learning from Filtered Signals: Graph System and Diffusion Kernel Identification

This paper introduces a novel graph signal processing framework for buil...

0 Hilmi E. Egilmez, et al. ∙

∙ 05/31/2017

Learning Graphs with Monotone Topology Properties and Multiple Connected Components

Learning graphs with topology properties is a non-convex optimization pr...

0 Eduardo Pavez, et al. ∙

∙ 11/16/2016

Graph Learning from Data under Structural and Laplacian Constraints

Graphs are fundamental mathematical structures used in various fields to...

0 Hilmi E. Egilmez, et al. ∙

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