World's Best Scientists 2026 revealed!
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Computer Science
Germany
2026

D-Index & Metrics

Computer Science

D-Index
140
Citations
91777
World Ranking
64
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in Germany Leader Award
  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Michael J. Black is affiliated with the Max Planck Institute for Intelligent Systems in Germany. Their research spans multiple fields with a primary focus on Computer Science and Engineering. Within these broader disciplines, their work is concentrated in subfields such as Computer Vision and Pattern Recognition, Computational Mechanics, Control and Systems Engineering, Computer Graphics and Computer-Aided Design, and Human-Computer Interaction.

The scientist's recent publications demonstrate engagement with cutting-edge topics in visual computing and 3D modeling. Notable papers include "Learning an animatable detailed 3D face model from in-the-wild images" (2021, ACM Transactions on Graphics), "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE" (2021, 2021 IEEE/CVF International Conference on Computer Vision), "ICON: Implicit Clothed humans Obtained from Normals" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition), "SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes" (2021, 2021 IEEE/CVF International Conference on Computer Vision), and "EMOCA: Emotion Driven Monocular Face Capture and Animation" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition).

Their work addresses topics including Human Pose and Action Recognition, 3D Shape Modeling and Analysis, Human Motion and Animation, Advanced Vision and Imaging, Generative Adversarial Networks and Image Synthesis, Video Surveillance and Tracking Methods, as well as Computer Graphics and Visualization Techniques.

Frequent collaboration partners include Dimitrios Tzionas, Timo Bolkart, Otmar Hilliges, Siyu Tang, and Jinlong Yang.

Michael J. Black's works have been published extensively in venues such as arXiv (Cornell University) with 88 publications, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) with 11 publications, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) with 10 publications, ACM Transactions on Graphics with 5, and IEEE Robotics and Automation Letters with 4.

Among their contributions to academic literature is a book titled Transparent Designs published by Johns Hopkins University Press in 2022.

Best Publications

  • SMPL: A Skinned Multi-Person Linear Model

    Unknown

  • SMPL: a skinned multi-person linear model

    Matthew Loper;Naureen Mahmood;Javier Romero;Gerard Pons-Moll

  • A Database and Evaluation Methodology for Optical Flow

    Simon Baker;Daniel Scharstein;J. P. Lewis;Stefan Roth

  • The Robust Estimation of Multiple Motions

    Michael J. Black;P. Anandan

  • A naturalistic open source movie for optical flow evaluation

    Daniel J. Butler;Jonas Wulff;Garrett B. Stanley;Michael J. Black

  • Robust anisotropic diffusion

    M.J. Black;G. Sapiro;D.H. Marimont;D. Heeger

  • Secrets of optical flow estimation and their principles

    Deqing Sun;Stefan Roth;Michael J. Black

  • End-to-End Recovery of Human Shape and Pose

    Angjoo Kanazawa;Michael J. Black;David W. Jacobs;Jitendra Malik

  • A Database and Evaluation Methodology for Optical Flow

    S. Baker;D. Scharstein;J.P. Lewis;S. Roth

  • Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

    Federica Bogo;Angjoo Kanazawa;Christoph Lassner;Christoph Lassner;Peter V. Gehler;Peter V. Gehler

  • EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation

    Michael J. Black;Allan D. Jepson

  • Fields of Experts: a framework for learning image priors

    S. Roth;M.J. Black

  • HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion

    Leonid Sigal;Alexandru O. Balan;Michael J. Black

  • Optical Flow Estimation Using a Spatial Pyramid Network

    Anurag Ranjan;Michael J. Black

  • Expressive Body Capture: 3D Hands, Face, and Body From a Single Image

    Georgios Pavlakos;Vasileios Choutas;Nima Ghorbani;Timo Bolkart

  • On the unification of line processes, outlier rejection, and robust statistics with applications in early vision

    Michael J. Black;Anand Rangarajan

  • Learning a model of facial shape and expression from 4D scans

    Tianye Li;Timo Bolkart;Michael J. Black;Hao Li

  • Stochastic Tracking of 3D Human Figures Using 2D Image Motion

    Hedvig Sidenbladh;Michael J. Black;David J. Fleet

  • Recovering Accurate {3D} Human Pose in the Wild Using {IMUs} and a Moving Camera

    Timo von Marcard;Roberto Henschel;Michael J. Black;Bodo Rosenhahn

  • Fields of Experts

    Stefan Roth;Michael J. Black

  • Towards Understanding Action Recognition

    Hueihan Jhuang;Juergen Gall;Silvia Zuffi;Cordelia Schmid

  • Learning from Synthetic Humans

    Gul Varol;Javier Romero;Xavier Martin;Naureen Mahmood

Frequent Co-Authors

Javier Romero
Javier Romero Facebook (United States)
Betty J. Mohler
Betty J. Mohler Amazon (United States)
John P. Donoghue
John P. Donoghue Brown University
Stefan Roth
Stefan Roth Technical University of Darmstadt
Allan D. Jepson
Allan D. Jepson University of Toronto
Leonid Sigal
Leonid Sigal University of British Columbia
Gerard Pons-Moll
Gerard Pons-Moll University of Tübingen
David J. Fleet
David J. Fleet University of Toronto
Andreas Geiger
Andreas Geiger University of Tübingen
Katrin Elisabeth Giel
Katrin Elisabeth Giel University of Tübingen

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