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Gerard Pons-Moll

Gerard Pons-Moll

D-Index & Metrics

Computer Science

D-Index
60
Citations
22667
World Ranking
3172
National Ranking
151

Overview

Gerard Pons-Moll is affiliated with the University of Tübingen in Germany. Their research spans several main fields, primarily Computer Science and Engineering, with a focus on numerous subfields including Computer Vision and Pattern Recognition, Computational Mechanics, Control and Systems Engineering, Computer Graphics and Computer-Aided Design, and Human-Computer Interaction.

The scientist's work concentrates on a range of main topics such as Human Pose and Action Recognition, 3D Shape Modeling and Analysis, Advanced Vision and Imaging, Human Motion and Animation, Computer Graphics and Visualization Techniques, Generative Adversarial Networks and Image Synthesis, and Video Surveillance and Tracking Methods.

Their recent publication record includes several papers across prominent venues. Notable works include:

  • D-NeRF: neural radiance fields for dynamic scenes, 2021, published in UPCommons (Polytechnic University of Catalonia)
  • SMPLicit: Topology-aware generative model for clothed people, 2021, DIGITAL.CSIC (Spanish National Research Council (CSIC))
  • BEHAVE: Dataset and Method for Tracking Human Object Interactions, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • SelfPose: 3D Egocentric Pose Estimation From a Headset Mounted Camera, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Gerard Pons-Moll frequently collaborates with a core group of researchers. These frequent co-authors include Bharat Lal Bhatnagar, Christian Theobalt, Jan Eric Lenssen, Julian Chibane, and Riccardo Marin.

Their publications are predominantly found in venues such as arXiv (Cornell University), Lecture Notes in Computer Science, IEEE Transactions on Pattern Analysis and Machine Intelligence, UPCommons (Polytechnic University of Catalonia), and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

  • D-NeRF: Neural Radiance Fields for Dynamic Scenes

    Albert Pumarola;Enric Corona;Gerard Pons-Moll;Francesc Moreno-Noguer

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

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

  • AMASS: Archive of Motion Capture As Surface Shapes

    Naureen Mahmood;Nima Ghorbani;Nikolaus F. Troje;Gerard Pons-Moll

  • Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation

    Mohamed Omran;Christoph Lassner;Gerard Pons-Moll;Peter Gehler

  • ClothCap: seamless 4D clothing capture and retargeting

    Gerard Pons-Moll;Sergi Pujades;Sonny Hu;Michael J. Black

  • Video Based Reconstruction of 3D People Models

    Thiemo Alldieck;Marcus Magnor;Weipeng Xu;Christian Theobalt

  • Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion

    Julian Chibane;Thiemo Alldieck;Gerard Pons-Moll

  • XNect: real-time multi-person 3D motion capture with a single RGB camera

    Dushyant Mehta;Oleksandr Sotnychenko;Franziska Mueller;Weipeng Xu

  • Single-Shot Multi-person 3D Pose Estimation from Monocular RGB

    Dushyant Mehta;Oleksandr Sotnychenko;Franziska Mueller;Weipeng Xu

  • Multi-Garment Net: Learning to Dress 3D People From Images

    Bharat Bhatnagar;Garvita Tiwari;Christian Theobalt;Gerard Pons-Moll

  • Dynamic FAUST: Registering Human Bodies in Motion

    Federica Bogo;Javier Romero;Gerard Pons-Moll;Michael J. Black

  • Learning to Dress 3D People in Generative Clothing

    Qianli Ma;Jinlong Yang;Anurag Ranjan;Sergi Pujades

  • Dyna: a model of dynamic human shape in motion

    Gerard Pons-Moll;Javier Romero;Naureen Mahmood;Michael J. Black

  • Learning to Reconstruct People in Clothing From a Single RGB Camera

    Thiemo Alldieck;Marcus Magnor;Bharat Lal Bhatnagar;Christian Theobalt

  • Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time

    Yinghao Huang;Manuel Kaufmann;Emre Aksan;Michael J. Black

  • Tex2Shape: Detailed Full Human Body Geometry From a Single Image

    Thiemo Alldieck;Gerard Pons-Moll;Christian Theobalt;Marcus Magnor

  • Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences

    Chao Zhang;Sergi Pujades;Michael Black;Gerard Pons-Moll

  • Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs

    T. von Marcard;B. Rosenhahn;M. J. Black;G. Pons-Moll

  • DoubleFusion: Real-Time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor

    Tao Yu;Zerong Zheng;Kaiwen Guo;Jianhui Zhao

  • Neural Unsigned Distance Fields for Implicit Function Learning

    Julian Chibane;Mohamad Aymen mir;Gerard Pons-Moll

  • Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs

    Timo von Marcard;Bodo Rosenhahn;Michael J. Black;Gerard Pons-Moll

Frequent Co-Authors

Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Laura Leal-Taixé
Laura Leal-Taixé Technical University of Munich
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Marcus Magnor
Marcus Magnor Technische Universität Braunschweig
Qionghai Dai
Qionghai Dai Tsinghua University
Javier Romero
Javier Romero Facebook (United States)
Mario Fritz
Mario Fritz Helmholtz Center for Information Security

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