Cem Eteke

According to our database, Cem Eteke authored at least 12 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

High-Fidelity Causal Video Diffusion Models for Real-Time Ultra-Low-Bitrate Semantic Communication.

Cem Eteke, Batuhan Tosun, Alexander Griessel, Wolfgang Kellerer, Eckehard Steinbach

CoRR, February, 2026

Nix and Fix: Targeting 1000x Compression of 3D Gaussian Splatting with Diffusion Models.

Cem Eteke, Enzo Tartaglione

CoRR, February, 2026

2025

BIR-Adapter: A Low-Complexity Diffusion Model Adapter for Blind Image Restoration.

Cem Eteke, Alexander Griessel, Wolfgang Kellerer, Eckehard G. Steinbach

CoRR, September, 2025

High-Fidelity Semantic Video Communication with Controllable Image-To-Video Diffusion Models.

Cem Eteke, Alexander Griessel, Wolfgang Kellerer, Eckehard G. Steinbach

Proceedings of the International Symposium on Multimedia, 2025

2024

LEMON: Localized Editing with Mesh Optimization and Neural Shaders.

Furkan Mert Algan, Umut Yazgan, Driton Salihu, Cem Eteke, Eckehard G. Steinbach

CoRR, 2024

Lossy Coding for Spatially Adaptive Conditioning in Semantic Image Communication.

Cem Eteke, Alexander Griessel, Wolfgang Kellerer, Eckehard G. Steinbach

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

Real-Time Semantic Video Communication of General Scenes.

Cem Eteke, Alexander Griessel, Wolfgang Kellerer, Eckehard G. Steinbach

Proceedings of the IEEE International Conference on Image Processing, 2024

Importance-Driven Semantic Resilience for Challenging Future 6G Channels.

Alexander Griessel, Cem Eteke, Eckehard G. Steinbach, Wolfgang Kellerer

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2022

Semantic-SRF: Sparse Multi-view Indoor Semantic Segmentation with Stereo Neural Radiance Fields.

Cem Eteke, Jinpeng Zhang, Eckehard G. Steinbach

Proceedings of the 10th European Workshop on Visual Information Processing, 2022

2021

Reward Learning From Very Few Demonstrations.

Cem Eteke, Dogancan Kebüde, Baris Akgün

IEEE Trans. Robotics, 2021

2018

Flow From Motion: A Deep Learning Approach.

Cem Eteke, Hayati Havlucu, Nisa Irem Kirbaç, Mehmet Cengiz Onbasli, Aykut Coskun, Terry Eskenazi, Oguzhan Özcan, Baris Akgün

CoRR, 2018

Communicative Cues for Reach-to-Grasp Motions: From Humans to Robots.

Dogancan Kebüde, Cem Eteke, Tevfik Metin Sezgin, Baris Akgün

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018