World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
15621
World Ranking
3060
National Ranking
1496

Research.com Recognitions

  • 2004 - Hellman Fellow

Overview

James F. O'Brien is affiliated with the University of California, Berkeley in the United States. Their research primarily falls within the field of computer science, with specific emphasis on computer vision and pattern recognition. Their work also intersects with sociology and political science, clinical psychology, computational mechanics, and safety research.

O'Brien's publications cover a range of topics including sexuality, behavior, and technology; 3D shape modeling and analysis; face recognition and analysis; privacy, security, and data protection; digital media forensic detection; ethics and social impacts of artificial intelligence; and human motion and animation.

They have contributed to multiple frequent publication venues, demonstrating an active research profile in both theoretical and applied domains. These venues include:

  • arXiv (Cornell University)
  • Proceedings on Privacy Enhancing Technologies
  • ACM Transactions on Graphics
  • IEEE Security & Privacy
  • IEEE Transactions on Visualization and Computer Graphics

Recent papers by O'Brien illustrate their areas of study and collaboration with other researchers. Notable works include:

  • "Fast and deep facial deformations," 2020, ACM Transactions on Graphics
  • "Exploring the Privacy Risks of Adversarial VR Game Design," 2023, Proceedings on Privacy Enhancing Technologies
  • "Exploring the Privacy Risks of Adversarial VR Game Design," 2022, arXiv (Cornell University)
  • "Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data," 2023, IEEE Security & Privacy
  • "Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data," 2023, arXiv (Cornell University)

Throughout their career, O'Brien has frequently collaborated with several coauthors, contributing to a diverse set of publications. Key collaborators include:

  • Vivek Nair
  • Dawn Song
  • Louis Rosenberg
  • Wenbo Guo
  • Gonzalo Munilla Garrido

O'Brien's research engages a combination of technical and social perspectives, examining technological developments alongside their ethical and privacy implications. This interdisciplinary approach includes exploring facial deformation modeling, virtual reality privacy risks, and human motion data analysis.

In 2004, James F. O'Brien received the Hellman Fellowship, marking recognition in their early career.

Best Publications

  • Animating human athletics

    Jessica K. Hodgins;Wayne L. Wooten;David C. Brogan;James F. O'Brien

  • Modelling with implicit surfaces that interpolate

    Greg Turk;James F. O'Brien

  • Graphical modeling and animation of ductile fracture

    James F. O'Brien;Adam W. Bargteil;Jessica K. Hodgins

  • Shape transformation using variational implicit functions

    Greg Turk;James F. O'Brien

  • Motion synthesis from annotations

    Okan Arikan;David A. Forsyth;James F. O'Brien

  • Graphical modeling and animation of brittle fracture

    Unknown

  • Adaptive anisotropic remeshing for cloth simulation

    Rahul Narain;Armin Samii;James F. O'Brien

  • Interpolating and approximating implicit surfaces from polygon soup

    Chen Shen;James F. O'Brien;Jonathan R. Shewchuk

  • Fast simulation of mass-spring systems

    Tiantian Liu;Adam W. Bargteil;James F. O'Brien;Ladislav Kavan

  • Interactively deformable models for surgery simulation

    S.A. Cover;N.F. Ezquerra;J.F. O'Brien;R. Rowe

  • Spectral surface reconstruction from noisy point clouds

    Ravikrishna Kolluri;Jonathan Richard Shewchuk;James F. O'Brien

  • A method for animating viscoelastic fluids

    Tolga G. Goktekin;Adam W. Bargteil;James F. O'Brien

  • Skeletal parameter estimation from optical motion capture data

    A.G. Kirk;J.F. O'Brien;D.A. Forsyth

  • Dynamic simulation of splashing fluids

    J.F. O'Brien;J.K. Hodgins

  • Computational Studies of Human Motion

    David A. Forsyth;Okan Arikan;Leslie Ikemoto;James F. O'Brien

  • Fluid animation with dynamic meshes

    Bryan M. Klingner;Bryan E. Feldman;Nuttapong Chentanez;James F. O'Brien

  • Automatic Joint Parameter Estimation from Magnetic Motion Capture Data

    James F. O'Brien;Robert E. Bodenheimer;Gabriel Julian Brostow;Jessica K. Hodgins

  • Animating explosions

    Gary D. Yngve;James F. O'Brien;Jessica K. Hodgins

  • Data-driven elastic models for cloth: modeling and measurement

    Huamin Wang;James F. O'Brien;Ravi Ramamoorthi

  • Synthesizing sounds from rigid-body simulations

    James F. O'Brien;Chen Shen;Christine M. Gatchalian

  • Animating suspended particle explosions

    Bryan E. Feldman;James F. O'Brien;Okan Arikan

Frequent Co-Authors

Jessica K. Hodgins
Jessica K. Hodgins Carnegie Mellon University
Jonathan Richard Shewchuk
Jonathan Richard Shewchuk University of California, Berkeley
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Greg Turk
Greg Turk Georgia Institute of Technology
Hany Farid
Hany Farid University of California, Berkeley
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Kris Hauser
Kris Hauser Duke University
Ron Alterovitz
Ron Alterovitz University of North Carolina at Chapel Hill
Ken Goldberg
Ken Goldberg University of California, Berkeley

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