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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
108
Citations
80896
World Ranking
250
National Ranking
12

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
  • 2008 - IEEE Fellow For contributions to the foundations of segmentation and tracking, and innovation in vision applications
  • 2005 - Fellow of the Royal Society, United Kingdom
  • 1998 - Fellow of the Royal Academy of Engineering (UK)

Overview

Andrew Blake is affiliated with the University of Cambridge in the United Kingdom. Their research contributions span the fields of Physics and Astronomy, with a primary focus on Nuclear and High Energy Physics. Other related subfields include Radiation, Atomic and Molecular Physics and Optics, Aerospace Engineering, and Mechanics of Materials.

The scientist's main research topics include:

  • Neutrino Physics Research
  • Particle physics theoretical and experimental studies
  • Dark Matter and Cosmic Phenomena
  • Astrophysics and Cosmic Phenomena
  • Particle Detector Development and Performance
  • Particle accelerators and beam dynamics
  • Radiation Detection and Scintillator Technologies

Andrew Blake has published extensively, with recent papers including:

  • "Volume I. Introduction to DUNE" (2020) in Journal of Instrumentation
  • "Long-baseline neutrino oscillation physics potential of the DUNE experiment" (2020) in Jyväskylä University Digital Archive (University of Jyväskylä)
  • "Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report" (2021) in Instruments
  • "Volume IV. The DUNE far detector single-phase technology" (2020) in Journal of Instrumentation
  • "Supernova neutrino burst detection with the deep underground neutrino experiment" (2020) in Lancaster EPrints (Lancaster University)

The following are frequent co-authors of Andrew Blake:

  • P. Green
  • M. Bishai
  • A. Ereditato
  • A. P. Furmanski
  • J. I. Crespo-Anadón

Their publications often appear in these venues:

  • arXiv (Cornell University)
  • Physical Review D
  • Journal of Instrumentation
  • Physical Review Letters
  • Lancaster EPrints (Lancaster University)

Andrew Blake has received several professional recognitions including:

  • IEEE Fellow (2008), for contributions to the foundations of segmentation and tracking, and innovation in vision applications
  • Fellow of the Royal Society, United Kingdom (2005)
  • Fellow of the Royal Academy of Engineering (UK) (1998)

Best Publications

  • C ONDENSATION —Conditional Density Propagation forVisual Tracking

    Michael Isard;Andrew Blake

  • "GrabCut": interactive foreground extraction using iterated graph cuts

    Carsten Rother;Vladimir Kolmogorov;Andrew Blake

  • The CONDENSATION Algorithm - Conditional Density Propagation and Applications to Visual Tracking

    Andrew Blake;Michael Isard

  • Real-time human pose recognition in parts from single depth images

    Jamie Shotton;Andrew Fitzgibbon;Mat Cook;Toby Sharp

  • Real-time human pose recognition in parts from single depth images

    Jamie Shotton;Toby Sharp;Alex Kipman;Andrew Fitzgibbon

  • Poisson image editing

    Patrick Pérez;Michel Gangnet;Andrew Blake

  • Visual Reconstruction

    Andrew Blake;Andrew Zisserman

  • Contour Tracking by Stochastic Propagation of Conditional Density

    Michael Isard;Andrew Blake

  • Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion

    Andrew Blake;Michael Isard

  • A Probabilistic Exclusion Principle for Tracking Multiple Objects

    John MacCormick;Andrew Blake

  • Active vision

    Andrew Blake;Alan Yuille

  • Articulated body motion capture by annealed particle filtering

    J. Deutscher;A. Blake;I. Reid

  • ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework

    Michael Isard;Andrew Blake

  • Interactive Image Segmentation Using an Adaptive GMMRF Model

    Andrew Blake;Carsten Rother;Matthew A. Brown;Patrick Pérez

  • Multiscale Categorical Object Recognition Using Contour Fragments

    J. Shotton;A. Blake;R. Cipolla

  • Data fusion for visual tracking with particles

    P. Perez;J. Vermaak;A. Blake

  • Efficient Human Pose Estimation from Single Depth Images

    Jamie Shotton;Ross Girshick;Andrew Fitzgibbon;Toby Sharp

  • Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs

    C. Rother;T. Minka;A. Blake;V. Kolmogorov

  • Statistical Learning of Multi-view Face Detection

    Stan Z. Li;Long Zhu;ZhenQiu Zhang;Andrew Blake

  • A framework for spatiotemporal control in the tracking of visual contours

    Andrew Blake;Rupert Curwen;Andrew Zisserman

  • Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs.

    C Rother;TP Minka;A Blake;Kolmogorov

Frequent Co-Authors

Carsten Rother
Carsten Rother Heidelberg University
Antonio Criminisi
Antonio Criminisi Microsoft (United States)
Michael Isard
Michael Isard Google (United States)
Roberto Cipolla
Roberto Cipolla University of Cambridge
Vladimir Kolmogorov
Vladimir Kolmogorov Institute of Science and Technology Austria
Andrew Zisserman
Andrew Zisserman University of Oxford
Jens Rittscher
Jens Rittscher University of Oxford
Jamie Shotton
Jamie Shotton Microsoft (United States)
Philip H. S. Torr
Philip H. S. Torr University of Oxford

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