Ekrem Çetinkaya received his B.Sc. in 2018, and M.Sc. in 2019 from Ozyegin University, Istanbul, Türkiye. He wrote his M.Sc. thesis about image denoising using deep convolutional networks. He received his Ph.D. degree in 2023 from the University of Klagenfurt, Austria, with his dissertation titled "Video Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning." His research interests include deep learning, computer vision, video encoding, and multimedia networking.
Large language models (LLMs), like the infamous ChatGPT, have achieved impressive performance on a variety of natural language processing tasks, such as machine translation,...
Image-to-image translation (I2I) is an interesting field within computer vision and machine learning that holds the power to transform visual content from one domain...
Neural Radiance Fields (NeRF) emerged as a transformative concept in the 3D domain recently. It reshaped how we handle the 3D object visualization and...
Language models have revolutionized the way we communicate with computers by their ability to generate coherent and contextually relevant text. Large Language Models (LLMs)...
Large Language Models (LLMs) have started a revolution in the artificial intelligence domain. The release of ChatGPT has sparked the ignition for the era...
Can you imagine the Internet without image editing? All those funny memes, fancy Instagram photos, mesmerizing sceneries, and more; would’ve been gone. That wouldn’t...
