Author: Ekrem Çetinkaya

Ekrem Çetinkaya
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.

Researchers from McGill University and Microsoft Introduces Convolutional vision Transformer (CvT) that improves Vision Transformer (ViT) in Performance and Efficiency by Introducing Convolutions into...

Transformers have been widely used in the natural language processing (NLP) domain for years, and their introduction was a turning point for many NLP...

Gibson Environment: A Perceptual and Physics Simulation from Stanford and UC Berkeley Researchers

Although their presence is not as common as predicted in the 80s sci-fi movies, robots are becoming increasingly integrated into our daily lives. From...

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