World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
16640
World Ranking
2206
National Ranking
125

Research.com Recognitions

  • 2022 - Fellow of the Asia-Pacific Artificial Inteliegence Association
  • 2021 - Fellow of the Royal Academy of Engineering (UK)
  • 2018 - IAPR Pierre Devijver Award, International Association for Pattern Recognition
  • 2016 - IEEE Fellow For contributions to pattern recognition and computer vision
  • 2016 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2008 - Fellow of the Institution of Engineering and Technology (IET), UK
  • 2006 - IAPR P. Zamperoni Award A Reimannian Weighted Filter for Edge-sensitive Image Smoothing
  • 2000 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to structural and statistical pattern recognition, and to computer vision

Overview

Edwin R. Hancock is affiliated with the University of York in the United Kingdom. Their research primarily focuses on the field of Computer Science, with extensive work spanning artificial intelligence, computer vision, and pattern recognition among other subfields.

The main fields of study covered by Hancock include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Statistical and Nonlinear Physics
  • Materials Chemistry
  • Signal Processing

They have contributed to a variety of topics, notably in:

  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Graph Theory and Algorithms
  • Quantum Computing Algorithms and Architecture
  • Advanced Vision and Imaging
  • Machine Learning in Materials Science
  • Mental Health Research Topics

Edwin R. Hancock has published in frequent venues such as:

  • arXiv (Cornell University)
  • Pattern Recognition
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent notable papers include:

  • "Uncertainty estimation for stereo matching based on evidential deep learning" (2021), published in Pattern Recognition
  • "Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification" (2024), published in IEEE Transactions on Knowledge and Data Engineering
  • "Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective" (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Fused lasso for feature selection using structural information" (2021), published in Pattern Recognition

Frequent co-authors in their research work include:

  • Lixin Cui
  • Lu Bai
  • Zhihong Zhang
  • Yue Wang
  • Xiao Bai

Hancock also has book publications with Springer Science+Business Media, including titles such as Image Analysis and Processing - ICIAP 2023 (2023).

The scientist has received several awards and honors, including:

  • Fellow of the Asia-Pacific Artificial Intelligence Association (2022)
  • Fellow of the Royal Academy of Engineering (UK) (2021)
  • IAPR Pierre Devijver Award, International Association for Pattern Recognition (2018)
  • Distinguished Fellow of the British Machine Vision Association (BMVA) (2016)
  • IEEE Fellow for contributions to pattern recognition and computer vision (2016)
  • Fellow of the Institution of Engineering and Technology (IET), UK (2008)
  • IAPR P. Zamperoni Award for work on edge-sensitive image smoothing (2006)
  • Fellow of the International Association for Pattern Recognition (IAPR) for contributions to structural and statistical pattern recognition and computer vision (2000)

Best Publications

  • Structural, syntactic, and statistical pattern recognition

    Edwin R. Hancock;Richard C. Wilson;Terry Windeatt;Ilkay Ulusoy

  • Structural graph matching using the EM algorithm and singular value decomposition

    Bin Luo;E.R. Hancock

  • Structural matching by discrete relaxation

    R.C. Wilson;E.R. Hancock

  • Spectral embedding of graphs

    Bin Luo;Bin Luo;Richard C. Wilson;Edwin R. Hancock

  • Graph matching with a dual-step EM algorithm

    A.D.J. Cross;E.R. Hancock

  • Clustering and Embedding Using Commute Times

    Huaijun Qiu;E.R. Hancock

  • Recovery of surface orientation from diffuse polarization

    G.A. Atkinson;E.R. Hancock

  • Pattern vectors from algebraic graph theory

    R.C. Wilson;E.R. Hancock;Bin Luo

  • New constraints on data-closeness and needle map consistency for shape-from-shading

    P.L. Worthington;E.R. Hancock

  • Graph edit distance from spectral seriation

    A. Robles-Kelly;E.R. Hancock

  • Spectral correspondence for point pattern matching

    Marco Carcassoni;Edwin R. Hancock

  • Bayesian graph edit distance

    R. Myers;R.C. Wison;E.R. Hancock

  • Graph spectral image smoothing using the heat kernel

    Fan Zhang;Edwin R. Hancock

  • Inexact graph matching using genetic search

    Andrew D.J. Cross;Richard C. Wilson;Edwin R. Hancock

  • Edge-labeling using dictionary-based relaxation

    E.R. Hancock;J. Kittler

  • COMBINING EVIDENCE IN PROBABILISTIC RELAXATION

    Josef Kittler;Edwin R. Hancock

  • Graph characteristics from the heat kernel trace

    Bai Xiao;Edwin R. Hancock;Richard C. Wilson

  • Discrete relaxation

    E. R. Hancock;J. Kittler

  • Recovering Facial Shape Using a Statistical Model of Surface Normal Direction

    W.A.P. Smith;E.R. Hancock

  • Graph matching and clustering using spectral partitions

    Huaijun Qiu;Edwin R. Hancock

  • Bayesian graph edit distance

    R. Myers;R.C. Wilson;E.R. Hancock

  • Structural, syntactic, and statistical pattern recognition : joint IAPR international workshop, SSPR & SPR 2010 : Cesme, Izmir, Turkey, August 18 - 20, 2010 : proceedings

    Edwin R Hancock;Richard C. Wilson;Terry Windeatt;Ilkay Ulusoy

Frequent Co-Authors

Richard Wilson
Richard Wilson Harvard University
William A. P. Smith
William A. P. Smith University of York
Andrea Torsello
Andrea Torsello Ca Foscari University of Venice
Bin Luo
Bin Luo Anhui University
Marcello Pelillo
Marcello Pelillo Ca Foscari University of Venice
Josef Kittler
Josef Kittler University of Surrey
Simone Severini
Simone Severini University College London
Jun Zhou
Jun Zhou Griffith University
Luciano da Fontoura Costa
Luciano da Fontoura Costa Universidade de São Paulo

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