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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
18948
World Ranking
1694
National Ranking
94

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to image processing and computer vision

Overview

Paul L. Rosin is affiliated with Cardiff University in the United Kingdom. Their research spans multiple domains primarily within computer science and engineering, with a strong focus on computer vision, artificial intelligence, and image processing.

The scientist has contributed extensively to the fields of Computer Science and Engineering. Within these areas, their subfields of expertise include Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Artificial Intelligence, and Computer Graphics and Computer-Aided Design.

Paul L. Rosin's research topics cover a range of advanced visual computing techniques and methodologies. These include:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image Processing Techniques
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Visual Attention and Saliency Detection
  • Image and Video Quality Assessment
  • Computer Graphics and Visualization Techniques

Their publication record features multiple recent papers, highlighting ongoing research activity in high-impact venues:

  • "Line Drawings for Face Portraits From Photos Using Global and Local Structure Based GANs," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "SHREC'20: Shape correspondence with non-isometric deformations," 2020, Computers & Graphics
  • "DeepFaceEditing," 2021, ACM Transactions on Graphics
  • "LiTMNet: A deep CNN for efficient HDR image reconstruction from a single LDR image," 2022, Pattern Recognition
  • "A review of image and video colorization: From analogies to deep learning," 2022, Visual Informatics

The scientist's frequent collaborators include Yu-Kun Lai, Xianfang Sun, Oktay Karakuş, Ran Yi, and Wanli Ma, reflecting a network of partnerships in related research domains.

Paul L. Rosin has published often in venues such as arXiv (Cornell University), Computers & Graphics, Pattern Recognition, Neurocomputing, and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In addition to journal articles, they have contributed to academic books, including "Computer-Aided Design and Computer Graphics," published by Springer Science+Business Media in 2024.

Professional recognition includes being awarded Fellowship of the International Association for Pattern Recognition (IAPR) in 2018 for contributions to image processing and computer vision.

Best Publications

  • Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid

    G. K. L. Tam;Zhi-Quan Cheng;Yu-Kun Lai;F. C. Langbein

  • Measuring shape: ellipticity, rectangularity, and triangularity

    Paul L. Rosin

  • Thresholding for Change Detection

    Paul L. Rosin

  • Facial dynamics as indicators of trustworthiness and cooperative behavior.

    Eva Krumhuber;Antony S. R. Manstead;Darren Cosker;Dave Marshall

  • Image difference threshold strategies and shadow detection

    Paul L. Rosin;Tim Ellis

  • Evaluation of global image thresholding for change detection

    Paul L. Rosin;Efstathios Ioannidis

  • Unimodal thresholding

    Unknown

  • Measuring Corner Properties

    Paul L. Rosin

  • Fast and Effective Feature-Preserving Mesh Denoising

    Xianfang Sun;P.L. Rosin;R.R. Martin;F.C. Langbein

  • Training cellular automata for image processing

    P.L. Rosin

  • Techniques for assessing polygonal approximations of curves

    P.L. Rosin

  • Nonparametric segmentation of curves into various representations

    P.L. Rosin;G.A.W. West

  • A note on the least squares fitting of ellipses

    Paul L. Rosin

  • Multi view image surveillance and tracking

    J. Black;T. Ellis;P. Rosin

  • A novel method for video tracking performance evaluation

    J. Black;T. Ellis;P. Rosin

  • Monitoring landslides from optical remotely sensed imagery: the case history of Tessina landslide, Italy

    Javier Hervás;José I Barredo;Paul L Rosin;Alessandro Pasuto

  • Segmentation of edges into lines and arcs

    Paul L. Rosin;Geoff A. W. Wesst

  • Large-capacity Image Steganography Based on Invertible Neural Networks

    Shao-Ping Lu;Rong Wang;Tao Zhong;Paul L. Rosin

  • A Hu moment invariant as a shape circularity measure

    Joviša unić;Kaoru Hirota;Paul L. Rosin

  • Pose2Seg: Detection Free Human Instance Segmentation

    Song-Hai Zhang;Ruilong Li;Xin Dong;Paul Rosin

  • A simple method for detecting salient regions

    Paul L. Rosin

  • Fast mesh segmentation using random walks

    Yu-Kun Lai;Shi-Min Hu;Ralph R. Martin;Paul L. Rosin

  • BING: Binarized normed gradients for objectness estimation at 300fps

    Ming Ming Cheng;Yun Liu;Wen Yan Lin;Ziming Zhang

Frequent Co-Authors

Yu-Kun Lai
Yu-Kun Lai Cardiff University
Ralph R. Martin
Ralph R. Martin Cardiff University
Ming-Ming Cheng
Ming-Ming Cheng Nankai University
Geoff West
Geoff West Curtin University
Tim Ellis
Tim Ellis Kingston University
David G. Mann
David G. Mann Royal Botanic Garden Edinburgh
Michael M. Bronstein
Michael M. Bronstein University of Oxford
Shi-Min Hu
Shi-Min Hu Tsinghua University
Alexander M. Bronstein
Alexander M. Bronstein Technion – Israel Institute of Technology

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