Soheib Takhtardeshir
Doktorand|Doctoral Student
- Professional title: Doctoral Student
- Academic title: Doctoral Student
- Telephone: +46 (0)10-1726585
- Email: soheib.takhtardeshir@miun.se
- Room number: Ej Angivet
- Location: Sundsvall
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- Employed at the subject:
- Computer Engineering
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- Research centers:
- STC Research Centre
Ph.D. Student in Computer Engineering
My name is Soheib Takhtardeshir, and I am from Sanandaj, Iran. I am an Early Stage Researcher in the Realistic3D lab under the Information System and Technology Department. My Ph.D. supervisors are Prof. Mårten Sjöström and Prof. Christine Guillemot . My project title is "Representation and compression of multi-sensor video for combined human and computer vision applications".
Background
I started my bachelor’s in Electrical engineering in 2009 and, completed it in 2013. After that, I joined FiberHome International Co. as a technical engineer in 2015. In 2019, I decided to continue my studies, and I was accepted as a master’s student in Digital electronic engineering. I finished my master’s in 2021 and I started my Ph.D at Mid Sweden University in 2022.
Area of interest
Image and Video Compression, Plenoptics, Machine Learning, Deep Learning, Digital Image Processing, Computer Vision
Publications
Articles in journals
Conference papers
Other
Articles in journals
Takhtardeshir, S. , Olsson, R. , Guillemot, C. & Sjöström, M. (2025). Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement. IEEE Access, vol. 13, pp. 18594-18607.
Conference papers
Takhtardeshir, S. , Olsson, R. , Guillemot, C. & Sjöström, M. (2024). A Deep Learning based Light Field Image Compression as Pseudo Video Sequences with Additional in-loop Filtering. In 3D Imaging and Applications 2024-Electronic Imaging. San Francisco Airport in Burlingame, California : . pp. 1--6.
Zerman, E. , Gond, M. , Takhtardeshir, S. , Olsson, R. & Sjöström, M. (2024). A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications. Paper presented at the 2024 16th International Conference on Quality of Multimedia Experience (QoMEX)
Other
Zerman, E. , Gond, M. , Takhtardeshir, S. , Olsson, R. & Sjöström, M. (2024). A New Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications.