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Computer Science

D-Index
50
Citations
71607
World Ranking
5450
National Ranking
113

Overview

Bill Triggs is affiliated with the Laboratoire Jean Kuntzmann in France. Their research is primarily situated within the fields of Physics and Astronomy, with a particular focus on subfields including Atomic and Molecular Physics, and Optics, as well as Condensed Matter Physics.

Triggs's work spans several specialized topics, including:

  • Advanced Chemical Physics Studies
  • Theoretical and Computational Physics
  • Quantum and electron transport phenomena
  • Physics of Superconductivity and Magnetism

The scientist has authored papers published in venues such as Physical Review Letters and arXiv (Cornell University). Notable recent publications include:

  • Quantum Quasi-Monte Carlo Technique for Many-Body Perturbative Expansions, 2020, Physical Review Letters
  • Quantum Quasi-Monte Carlo Technique for Many-Body Perturbative Expansions, 2020, arXiv (Cornell University)

Collaboration is a marked feature of Triggs's research activity, with frequent co-authors including Marjan Maček, Philipp T. Dumitrescu, Corentin Bertrand, Olivier Parcollet, and Xavier Waintal. This network suggests ongoing teamwork in advancing studies related to quantum physics and computational methods within physics.

Best Publications

  • Histograms of oriented gradients for human detection

    N. Dalal;B. Triggs

  • Bundle Adjustment - A Modern Synthesis

    Bill Triggs;Philip F. McLauchlan;Richard I. Hartley;Andrew W. Fitzgibbon

  • Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

    Xiaoyang Tan;Bill Triggs

  • Human Detection Using Oriented Histograms of Flow and Appearance

    Navneet Dalal;Bill Triggs;Cordelia Schmid

  • Sampling Strategies for Bag-of-Features Image Classification

    Eric Nowak;Frédéric Jurie;Bill Triggs

  • Creating efficient codebooks for visual recognition

    F. Jurie;B. Triggs

  • Recovering 3D human pose from monocular images

    A. Agarwal;B. Triggs

  • A Factorization Based Algorithm for Multi-Image Projective Structure and Motion

    Peter F. Sturm;Bill Triggs

  • Autocalibration and the absolute quadric

    B. Triggs

  • Face recognition based on image sets

    Hakan Cevikalp;Bill Triggs

  • Fast Discriminative Visual Codebooks using Randomized Clustering Forests

    Frank Moosmann;Bill Triggs;Frederic Jurie

  • 3D human pose from silhouettes by relevance vector regression

    A. Agarwal;B. Triggs

  • Autocalibration from Planar Scenes

    Bill Triggs

  • Vision Algorithms: Theory and Practice

    Bill Triggs;Andrew Zisserman;Richard Szeliski

  • The 2005 PASCAL visual object classes challenge

    Mark Everingham;Andrew Zisserman;Christopher K. I. Williams;Luc Van Gool

  • Covariance scaled sampling for monocular 3D body tracking

    C. Sminchisescu;B. Triggs

  • Kinematic jump processes for monocular 3D human tracking

    C. Sminchisescu;B. Triggs

  • Fusing Gabor and LBP feature sets for kernel-based face recognition

    Xiaoyang Tan;Bill Triggs

  • Factorization methods for projective structure and motion

    B. Triggs

  • Estimating Articulated Human Motion with Covariance Scaled Sampling

    Cristian Sminchisescu;Bill Triggs

Frequent Co-Authors

Richard Szeliski
Richard Szeliski University of Washington
Cristian Sminchisescu
Cristian Sminchisescu Google (United States)
Kenichi Kanatani
Kenichi Kanatani Okayama University
Frédéric Jurie
Frédéric Jurie Université de Caen Normandie
Jean Ponce
Jean Ponce École Normale Supérieure
Andrew Zisserman
Andrew Zisserman University of Oxford
Long Quan
Long Quan Hong Kong University of Science and Technology
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

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