HAZIM KEMAL EKENEL — accepted AI-conference papers

2024

Audio-driven Talking Face Generation with Stabilized Synchronization Loss

Dogucan Yaman*, Fevziye Irem Eyiokur, Leonard Bärmann, HAZIM KEMAL EKENEL, Alexander Waibel

ECCV 2024poster

"Talking face generation aims to create realistic videos with accurate lip synchronization and high visual quality, using given audio and reference video while preserving identity and visual characteristics. In this paper, we start by identifying several issues with existing synchronization learning…

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2019

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran

ICCV 2019poster

By benefiting from perceptual losses, recent studies have improved significantly the performance of the super-resolution task, where a high-resolution image is resolved from its low-resolution counterpart. Although such objective functions generate near-photorealistic results, their capability is li…

Cited by 180 PDF ↗code ↗Scholar ↗