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Seyed Ali Amirshahi

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Professor

Norwegian University of Science and Technology

Norway

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About

Dr. Seyed Ali Amirshahi is an Associate Professor at the Norwegian University of Science and Technology in Norway. His research focuses on computer vision, specifically in areas such as automatic assessment of medical conditions, subjective image quality assessment, and visual information processing. Recent publications include investigations into stroke assessment, Bayesian modeling, and algorithms for image enhancement. He is committed to advancing the field through innovative approaches and critical analyses of visual processing techniques.

Recent Grants

Grant: Close

FRIPRO (Independent Projects) mobility grant for young researchers fellowship,

Open Date: 2016-12-01

Close Date: 2019-11-01

Grant: Close

FITweltweit Postdoc

Open Date: 2016-01-01

Close Date: 2016-11-01

Articles (12)

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2027

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2026

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2026

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2026

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2026

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2026

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2026

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2026

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2025

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2025

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2023

Year:

2020

Collaborators (3)

Sophie Triantaphillidou

Professor

University of Westminster

UNITED KINGDOM

View details

Marius Pedersen

Professor

Norwegian University of Science and Technology

NORWAY

View details

Azeddine Beghdadi

Professor

Sorbonne Université

FRANCE

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Seyed Ali Amirshahi

Research Interests

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About

Recent Grants

Articles (12)

Few-Shot Supervised Contrastive Learning for Image/Video Distortion Classification

Uncertainty Quantification in Video Distortion Classification Under Dataset Shift

Predicting image quality score distribution using deep neural networks

Behavior of Image Information Metrics Under Controlled Blur and Noise Distortions

Audio-driven visual attention for lightweight audio-visual quality assessment

TransformAR: A light-weight transformer-based metric for Augmented Reality quality assessment

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation

On Reproducibility of Graph Neural Network for Facial Palsy and Paresis Assessment: Effects of Pose Variability in Dataset

A Survey on Computer Vision-Based Automatic Assessment of Stroke and Facial Palsy

Individual Differences in Subjective Image Quality Assessment: A Bayesian Mixed-Effects Modeling Approach

Preventing Over-Enhancement Using Modified ICSO Algorithm

A Critical Analysis on Perceptual Contrast and Its Use in Visual Information Analysis and Processing

Collaborators (3)

Sophie Triantaphillidou

Marius Pedersen

Azeddine Beghdadi

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