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 is currently pursuing a Ph.D. degree at the University of Klagenfurt, Austria, and working as a researcher on the ATHENA project. His research interests include deep learning, computer vision, and multimedia networking.
The last quarter of 2022 was the era of text-to-image models. We have seen numerous successful examples that could generate realistic images from text...
Video has become the dominant information propagation tool in the online world nowadays. The majority of the Internet traffic consists of video content, and...
The computer vision domain has seen significant advancement in the last decade, and this advancement can be mainly attributed to the emergence of convolutional...
Object detection is a powerful technique for identifying objects in images and videos. Thanks to deep learning and computer vision advances, it has come...
In the last decade, convolutional neural networks (CNNs) have been the backbone of computer vision applications. Traditionally, computer vision tasks have been tackled using...
3D computer graphics have come a long way since their inception in the 1950s. From simple wireframe models to photorealistic renderings, 3D graphics have...
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