Personal information

Germany

Activities

Employment (2)

Nokia: Berlin, DE

2022-12 to present
Employment
Source: Self-asserted source
Serhan Gül

Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut HHI: Berlin, Berlin, DE

2015-07 to 2022-12 | Research Associate (Video Communication and Applications)
Employment
Source: Self-asserted source
Serhan Gül

Education and qualifications (2)

Technical University Munich: Munich, DE

2012-10 to 2014-10 | Master of Science (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Serhan Gül

Sabanci Universitesi: Istanbul, TR

2008-09 to 2012-06 | Bachelor of Science (Electronics Engineering)
Education
Source: Self-asserted source
Serhan Gül

Professional activities (2)

Association for Computing Machinery (ACM): New York City, US

2020-05 to present
Membership
Source: Self-asserted source
Serhan Gül

ACM SIGMM: New York City, US

2020-05 to present
Membership
Source: Self-asserted source
Serhan Gül

Works (13)

Reproducibility Companion Paper: Kalman Filter-Based Head Motion Prediction for Cloud-Based Mixed Reality

Proceedings of the 29th ACM International Conference on Multimedia
2021-10-17 | Conference poster
Source: Self-asserted source
Serhan Gül

A Virtualized Video Surveillance System for Public Transportation

Machine Learning and Knowledge Discovery in Databases
2020 | Conference paper
Part of ISBN: 978-3-030-46133-1
Source: Self-asserted source
Serhan Gül

Split Rendering for Mixed Reality: Interactive Volumetric Video in Action

SIGGRAPH Asia 2020 XR
2020-12-04 | Conference paper
Source: Self-asserted source
Serhan Gül

Kalman Filter-based Head Motion Prediction for Cloud-based Mixed Reality

Proceedings of the 28th ACM International Conference on Multimedia
2020-10-12 | Conference paper
Source: Self-asserted source
Serhan Gül
grade
Preferred source (of 2)‎

Low-latency cloud-based volumetric video streaming using head motion prediction

Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video
2020-06-10 | Conference paper
Source: Self-asserted source
Serhan Gül

Cloud rendering-based volumetric video streaming system for mixed reality services

Proceedings of the 11th ACM Multimedia Systems Conference
2020-05-27 | Conference paper
Source: Self-asserted source
Serhan Gül

Compressed-Domain Video Object Tracking Using Markov Random Fields with Graph Cuts Optimization

Lecture Notes in Computer Science
2019 | Journal article
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Serhan Gül

Multi-Kernel Prediction Networks for Denoising of Burst Images

2019 IEEE International Conference on Image Processing (ICIP)
2019-09 | Conference paper
Source: Self-asserted source
Serhan Gül

Efficient Object Tracking in Compressed Video Streams with Graph Cuts

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)
2018-08 | Conference paper
Source: Self-asserted source
Serhan Gül

Visual object tracking in a parking garage using compressed domain analysis

Proceedings of the 9th ACM Multimedia Systems Conference
2018-06-12 | Conference paper
Source: Self-asserted source
Serhan Gül

On the robustness of action recognition methods in compressed and pixel domain

2016 6th European Workshop on Visual Information Processing (EUVIP)
2016-10 | Conference paper
Source: Self-asserted source
Serhan Gül

Hybrid video object tracking in H.265/HEVC video streams

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)
2016-09 | Conference paper
Source: Self-asserted source
Serhan Gül
grade
Preferred source (of 2)‎

Network-aware video level encoding for uplink adaptive HTTP streaming

2015 IEEE International Conference on Communications (ICC)
2015-06 | Conference paper
Source: Self-asserted source
Serhan Gül
grade
Preferred source (of 2)‎