World's Best Scientists 2026 revealed!
Christoph Bregler

Christoph Bregler

D-Index & Metrics

Computer Science

D-Index
37
Citations
14847
World Ranking
10448
National Ranking
4365

Research.com Recognitions

  • 2003 - Fellow of Alfred P. Sloan Foundation

Overview

Christoph Bregler is affiliated with Google in the United States. Their research spans several areas within computer science and social sciences, with a focus on topics related to computer vision, machine learning, and social impact analysis.

Bregler's recent publications include works such as AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild (2024, arXiv (Cornell University)) and SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data (2020, arXiv (Cornell University)). These papers address issues in misinformation detection and human pose estimation through machine learning techniques.

The scientist has frequently published in the venue arXiv (Cornell University), where both recent papers have appeared. Their work often involves collaborative efforts with co-authors such as Tyler Zhu, Per Karlsson, Michele Covell, Malcolm Slaney, and Nicholas Dufour.

The primary fields of study for Bregler are:

  • Computer Science
  • Social Sciences

Within these fields, subfields of specialization include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Sociology and Political Science
  • Control and Systems Engineering

Bregler's research topics specifically cover areas such as:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Video Analysis and Summarization
  • Advanced Vision and Imaging
  • Human Motion and Animation
  • Misinformation and Its Impacts

Among the recognitions received, Bregler was named a Fellow of the Alfred P. Sloan Foundation in 2003.

Best Publications

  • Efficient object localization using Convolutional Networks

    Jonathan Tompson;Ross Goroshin;Arjun Jain;Yann LeCun

  • Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

    Jonathan J Tompson;Arjun Jain;Yann LeCun;Christoph Bregler

  • Tracking people with twists and exponential maps

    C. Bregler;J. Malik

  • Recovering non-rigid 3D shape from image streams

    C. Bregler;A. Hertzmann;H. Biermann

  • Video Rewrite: driving visual speech with audio

    Christoph Bregler;Michele Covell;Malcolm Slaney

  • Learning and recognizing human dynamics in video sequences

    C. Bregler

  • Convolutional learning of spatio-temporal features

    Graham W. Taylor;Rob Fergus;Yann LeCun;Christoph Bregler

  • Finding Naked People

    Margaret M. Fleck;David A. Forsyth;Chris Bregler

  • Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

    Jonathan Tompson;Arjun Jain;Yann LeCun;Christoph Bregler

  • Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors

    L. Torresani;A. Hertzmann;C. Bregler

  • Motion capture assisted animation: texturing and synthesis

    Katherine Pullen;Christoph Bregler

  • "Eigenlips" for robust speech recognition

    C. Bregler;Y. Konig

  • Large displacement optical flow

    Thomas Brox;Christoph Bregler;Jitendra Malik

  • Tracking and modeling non-rigid objects with rank constraints

    L. Torresani;D.B. Yang;E.J. Alexander;C. Bregler

  • Realtime facial animation with on-the-fly correctives

    Hao Li;Jihun Yu;Yuting Ye;Chris Bregler

  • Twist Based Acquisition and Tracking of Animal and Human Kinematics

    Christoph Bregler;Jitendra Malik;Katherine Pullen

  • Canonical correlation analysis of image/control-point location coupling for the automatic location of control points

    Michele Covell;Malcolm Slaney

  • Finding Pictures of Objects in Large Collections of Images

    David A. Forsyth;Jitendra Malik;Margaret M. Fleck;Hayit Greenspan;Hayit Greenspan

  • Turning to the masters: motion capturing cartoons

    Christoph Bregler;Lorie Loeb;Erika Chuang;Hrishi Deshpande

  • Improving connected letter recognition by lipreading

    C. Bregler;H. Hild;S. Manke;A. Waibel

  • Learning Non-Rigid 3D Shape from 2D Motion

    Lorenzo Torresani;Aaron Hertzmann;Christoph Bregler

  • Learning Human Pose Estimation Features with Convolutional Networks

    Arjun Jain;Jonathan Tompson;Mykhaylo Andriluka;Graham W. Taylor

  • Nonlinear manifold learning for visual speech recognition

    C. Bregler;S.M. Omohundro

  • MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation

    Arjun Jain;Jonathan Tompson;Yann LeCun;Christoph Bregler

Frequent Co-Authors

Jitendra Malik
Jitendra Malik University of California, Berkeley
Graham W. Taylor
Graham W. Taylor University of Guelph
Yann LeCun
Yann LeCun Facebook (United States)
Lorenzo Torresani
Lorenzo Torresani Facebook (United States)
Michele Covell
Michele Covell Google (United States)
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Rob Fergus
Rob Fergus New York University
Alex Waibel
Alex Waibel Carnegie Mellon University
Michael Rabinovich
Michael Rabinovich Case Western Reserve University
Malcolm Slaney
Malcolm Slaney Stanford University

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