Photo of Saghi Hajisharif

Saghi Hajisharif

Principal Research Engineer

My research interests are in visual machine learning, HDR imaging, photo-realistic rendering, compressive imaging, and light fields.

Representation learning for Computational Imaging

I am a researcher in Computer Graphics and Image Processing group. I am interested in using machine learning, specifically sparse representation learning, to transform the data into lower-dimensional space to solve research problems related to computational imaging. I received a PhD in Visualization and Media technology titled "Computational Photography: High Dynamic Range and Light fields" in 2020 from Linköping University. I have an MSc in Advanced Computer Graphics from Linköping University in 2013, focusing on Image-based lighting. In 2009 I received my BSc in Computer Science from Amirkabir University in Tehran.

Publications

2023

Behnaz Kavoosighafi, Jeppe Revall Frisvad, Saghi Hajisharif, Jonas Unger, Ehsan Miandji (2023) SparseBTF: Sparse Representation Learning for Bidirectional Texture Functions

2022

Param Hanji, Rafal K. Mantiuk, Gabriel Eilertsen, Saghi Hajisharif, Jonas Unger (2022) Comparison of single image HDR reconstruction methods - the caveats of quality assessment ACM SIGGRAPH ’22 Conference Proceedings Continue to DOI

2021

Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger (2021) How to cheat with metrics in single-image HDR reconstruction 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021), p. 3981-3990 Continue to DOI
Ehsan Miandji, Hoai-Nam Nguyen, Saghi Hajisharif, Jonas Unger, Christine Guillemot (2021) Compressive HDR Light Field Imaging Using a Single Multi-ISO Sensor IEEE Transactions on Computational Imaging, Vol. 7, p. 1369-1384 Continue to DOI

2020

Saghi Hajisharif, Ehsan Miandji, Christine Guillemot, Jonas Unger (2020) Single Sensor Compressive Light Field Video Camera Computer graphics forum (Print), Vol. 39, p. 463-474 Continue to DOI

Research

Organisation