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

2024

Behnaz Kavoosighafi, Saghi Hajisharif, Ehsan Miandji, Gabriel Baravdish, Wen Cao, Jonas Unger (2024) Deep SVBRDF Acquisition and Modelling: A Survey Computer graphics forum (Print), Vol. 43 (Article in journal) Continue to DOI
Ehsan Miandji, Tanaboon Tongbuasirilai, Saghi Hajisharif, Behnaz Kavoosighafi, Jonas Unger (2024) FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition IEEE Transactions on Visualization and Computer Graphics, Vol. 30, p. 4390-4402 (Article in journal) Continue to DOI
Ericka Johnson, Saghi Hajisharif (2024) The intersectional hallucinations of synthetic data AI & Society: The Journal of Human-Centred Systems and Machine Intelligence (Article in journal) Continue to DOI

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 SIGGRAPH '22: ACM SIGGRAPH 2022 Conference Proceedings, p. 1-8, Article 1 (Conference paper) Continue to DOI

Research

Organisation