Fast Multi-rate Encoding for Adaptive HTTP Streaming. - Hadi Amirpour; Ekrem Çetinkaya; Christian Timmerer; Mohammed Ghanbari 001 (DCC, 2020)

FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning. - Ekrem Çetinkaya; Hadi Amirpour; Christian Timmerer; Mohammad Ghanbari 001 (VCIP, 2020)

Image denoising using deep convolutional autoencoder with feature pyramids. - Ekrem Çetinkaya; M. Furkan Kiraç (Turkish J. Electr. Eng. Comput. Sci., 2020)

Towards Optimal Multirate Encoding for HTTP Adaptive Streaming. - Hadi Amirpour; Ekrem Çetinkaya; Christian Timmerer; Mohammad Ghanbari 001 (MMM (1), 2021)

WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile Devices. - Minh Nguyen 006; Ekrem Çetinkaya; Hermann Hellwagner; Christian Timmerer (MMSP, 2021)

Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming. - Ekrem Çetinkaya (MMSys, 2021)

CTU depth decision algorithms for HEVC: A survey. - Ekrem Çetinkaya; Hadi Amirpour; Mohammed Ghanbari 001; Christian Timmerer (Signal Process. Image Commun., 2021)

Hybrid P2P-CDN Architecture for Live Video Streaming: An Online Learning Approach. - Reza Farahani; Abdelhak Bentaleb; Ekrem Çetinkaya; Christian Timmerer; Roger Zimmermann; Hermann Hellwagner (GLOBECOM, 2022)

LFC-SASR: Light Field Coding Using Spatial and Angular Super-Resolution. - Ekrem Çetinkaya; Hadi Amirpour; Christian Timmerer (ICME Workshops, 2022)

LiDeR: Lightweight Dense Residual Network for Video Super-Resolution on Mobile Devices. - Ekrem Çetinkaya; Minh Nguyen 006; Christian Timmerer (IVMSP, 2022)

Super-resolution based bitrate adaptation for HTTP adaptive streaming for mobile devices. - Minh Nguyen 006; Ekrem Çetinkaya; Hermann Hellwagner; Christian Timmerer (MHV, 2022)

ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning for HTTP Adaptive Streaming. - Jesús Aguilar Armijo; Ekrem Çetinkaya; Christian Timmerer; Hermann Hellwagner (MMM (2), 2022)

MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks. - Ekrem Çetinkaya; Minh Nguyen 006; Christian Timmerer (MMM (2), 2022)

Fast multi-encoding to reduce the cost of video streaming. - Hadi Amirpour; Vignesh V. Menon; Ekrem Çetinkaya; Adithyan Ilangovan; Christian Feldmann; Martin Smole; Christian Timmerer (CoRR, 2022)

Offline Reinforcement Learning for Bandwidth Estimation in RTC Using a Fast Actor and Not-So-Furious Critic. - Ekrem Çetinkaya; Ahmet Pehlivanoglu; Ihsan U. Ayten; Basar Yumakogullari; Mehmet E. Ozgun; Yigit K. Erinc; Enes Deniz; Ali C. Begen (MMSys, 2024)

ALIVE: A Latency- and Cost-Aware Hybrid P2P-CDN Framework for Live Video Streaming. - Reza Farahani; Ekrem Çetinkaya; Christian Timmerer; Mohammad Shojafar; Mohammed Ghanbari 001; Hermann Hellwagner (IEEE Trans. Netw. Serv. Manag., 2024)