51cg

People

Dr Jari Korhonen

Dr Jari Korhonen
Dr Jari Korhonen
Dr Jari Korhonen

Senior Lecturer

Accepting PhDs

51cg
Email Address
jari.korhonen@abdn.ac.uk
Office Address
328 Meston Building
Old Aberdeen Campus
Meston Walk
AB24 3UE

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School/Department
School of Natural and Computing Sciences



Biography

I am an experienced researcher in computer science, specialised in multimedia technologies and Quality of Experience (QoE) in particular. I received my MSc degree in information engineering at University of Oulu, Finland, in 2001, and PhD in telecommunications and signal processing at Tampere University of Technology, Finland, in 2006. In my early career, I worked as a Research Engineer at Nokia Research Center, Tampere, Finland, from 2001 to 2006, before moving to academia. Before joining the 51cg, I was working at Shenzhen University, China, from 2017 to 2022.

My past research experience covers both telecommunications and signal processing aspects of multimedia communications. My current research focus primarily on visual quality assessment, and I have contributed to several models for predicting perceived image and video quality directly from the signal. As a part of this work, I have been principal investigator (PI) for a project funded by National Natural Science Foundation of China (NSFC) from 2018 to 2021. Most recently, I have studied deep learning techniques applied to visual quality assessment, as well as other related computer vision problems.

In addition to my research work, I have experience of teaching several courses in the fields of visual communications, signal processing, and telecommunications. I have also supervised and co-supervised several student projects at BSc, MSc and PhD levels. 

Qualifications

  • PhD Telecommunications and Signal Processing 
    2006 - Tampere University of Technology, Finland 
  • MSc Information Engineering 
    2001 - University of Oulu, Finland 

External Memberships

  • IEEE Member

Latest Publications

  • COPP-Net: No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction

    Zhu, L., Cheng, J., Wang, X., Su, H., Yuan, H., Song, J., Korhonen, J.
    IEEE Transactions on Broadcasting, vol. 71, no. 4, pp. 1079 - 1091
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [ONLINE]

  • NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging

    Chhetri, A., Korhonen, J., Gyawali, P. K., Bhattarai, B.
    Contributions to Conferences: Papers
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

  • 3DTA: No-Reference 3D Point Cloud Quality Assessment with Twin Attention

    Zhu, L., Cheng, J., Wang, X., Su, H., Yang, H., Yuan, H., Korhonen, J.
    IEEE Transactions on Multimedia, vol. 26, pp. 10489 - 10502
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [ONLINE]

  • Gated Transformer Representing Region Importance for Image Quality Assessment

    You, J., Lin, Y., Korhonen, J.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • FishIR: Identifying Pufferfish Individual based on Deep Learning and Face Recognition

    Lin, Y., Xie, S., Ghose, D., Liu, X., You, J., Korhonen, J., Liu, J., Dash, S. P.
    IEEE Access, vol. 12, pp. 59807 - 59817
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

View My Publications

Research

Research Areas

Accepting PhDs

I am currently accepting PhDs in Computing Science.

Please get in touch if you would like to discuss your research ideas further.

Computing Science

  • Accepting PhDs
View Research Area

Research Specialisms

  • Artificial Intelligence
  • Computer Vision
  • Multimedia Computing Science

Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is , published under the licence.

Blind Image and Video Quality Assessment

Jari Korhonen has several years of experience of working on automated prediction of image and video quality, with focus on blind models for user generated photos and videos. Several models based on his work, such as Two-Level Video Quality Model (TLVQM), are publicly available.

Funding and Grants

  • National Natural Science Foundation of China (NSFC) Grant 61772348: "Quality assessment for consumer video applications," 2018-21 (Shenzhen University).
Teaching

Teaching Responsibilities

I am currently course co-ordinator for the following SCNU Joint Institute BSc courses:

I also supervise coursework projects for the following SCNU Joint Institute BSc courses:

In addition, I supervise BSc thesis projects and I am course co-ordinator for the CS programme in JC4000 Graduation Thesis.

Publications

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  • No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction

    Cheng, J., Su, H., Korhonen, J.
    Working Papers: Preprint Papers
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • Fast Accurate Fish Recognition with Deep Learning Based on a Domain-Specific Large-Scale Fish Dataset

    Lin, Y., Chu, Z., Korhonen, J., Xu, J., Liu, X., Liu, J., Liu, M., Fang, L., Yang, W., Ghose, D., You, J.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • Half of an image is enough for quality assessment

    You, J., Lin, Y., Korhonen, J.
    Working Papers: Preprint Papers
    • [ONLINE] DOI:

  • Adversarial Attacks against Blind Image Quality Assessment Models

    Korhonen, J., You, J.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • Simulating Visual Mechanisms by Sequential Spatial-Channel Attention for Image Quality Assessment

    You, J., Korhonen, J.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • Attention integrated hierarchical networks for no-reference image quality assessment

    You, J., Korhonen, J.
    Journal of Visual Communication and Image Representation, vol. 82, 103399
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

  • Reproducibility Companion Paper: Blind Natural Video Quality Prediction via Statistical Temporal Features and Deep Spatial Features

    Korhonen, J., Su, Y., You, J., Hicks, S., Midoglu, C.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • Transformer For Image Quality Assessment

    You, J., Korhonen, J.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE]
    • [ONLINE] DOI:
    • [ONLINE]

  • Practical Video Quality Assessment of User Generated Content

    Korhonen, J., Wen, X., Cheng, J., Wang, X.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]

  • Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition

    Ding, C., Liu, K., Korhonen, J., Belyaev, E.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
    • [ONLINE] DOI:
    • [ONLINE]
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