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
Artiklar i tidskrifter
Konferensbidrag
Övrigt
Artiklar i tidskrifter
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, ss. 18594-18607.
Konferensbidrag
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. I 3D Imaging and Applications 2024-Electronic Imaging. San Francisco Airport in Burlingame, California : . S. 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)
Övrigt
Zerman, E. , Gond, M. , Takhtardeshir, S. , Olsson, R. & Sjöström, M. (2024). A New Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications.