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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

Tahereh Dehdarirad, Ericka Johnson, Gabriel Eilertsen, Saghi Hajisharif (2024) Enhancing Tabular GAN Fairness: The Impact of Intersectional Feature Selection
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

Research

Computer generated image of a living room

Computer Graphics and Image Processing

The computer graphics and image processing group is driving a number of research projects directed towards the development of theory and methodology for image capture, image analysis and image synthesis.

News

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Interdisciplinary research on IVA’s 100 List

Five research projects from LiU are on the 100 List of the Royal Swedish Academy of Engineering Sciences (IVA). The list pulls together projects with great potential to create value in society.

Organisation

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Media and Information Technology

The research at MIT is conducted in groups that focuses on a separate aspect of visual information technology, but not isolated from each other. The collaborative atmosphere involves both basic and application oriented research.
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Department of Science and Technology (ITN)

We research and teach in several technical and scientific disciplines in which our main areas are organic electronics, media, communications and logistics.

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