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Dr. Vladislav Golyanik

Max-Planck-Institut für Informatik
Department 4: Computer Graphics
 office: Campus E1 4, Room 219
Saarland Informatics Campus
66123 Saarbrücken
Germany
 email: Get my email address via email
 phone: +49 681 9325-4019
 fax: +49 681 9325-7019

NEW: Bachelor/Master Thesis, Research Immersion Lab (RIL) and HiWi Topics Available!

  • If you are interested in a bachelor/master thesis, research immersion lab (RIL) or a HiWi position on one of the topics listed below, do not hesitate to reach me out.

NEW: Seminar "Computer Vision and Machine Learning for Computer Graphics 2020"

  • More information about our seminar in SS'20 can be found here

Research Interests

  • 3D reconstruction and analysis of rigid and non-rigid scenes and objects
  • point set registration and transformation estimation
  • new sensors and hardware for computer graphics and vision
  • physics-based methods

Publications

2020
    Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints.
    V. Sidhu, E. Tretschk, V. Golyanik, A. Agudo and C. Theobalt.
    European Conference on Computer Vision (ECCV), 2020.
    [paper] [supplement] [video] [bibtex] [project page]

    HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization.
    N. Qian, J. Wang, F. Müller, F. Bernard, V. Golyanik and C. Theobalt.
    European Conference on Computer Vision (ECCV), 2020.
    [paper] [supplement] [video] [bibtex] [project page]



    Neural Re-Rendering of Humans from a Single Image.
    K. Sarkar, D. Mehta, W. Xu, V. Golyanik and C. Theobalt.
    European Conference on Computer Vision (ECCV), 2020.
    [paper] [supplement] [video] [bibtex] [project page]

    A Quantum Computational Approach to Correspondence Problems on Point Sets.
    V. Golyanik and C. Theobalt.
    In Computer Vision and Pattern Recognition (CVPR), 2020.
    [paper] [slides] [poster] [bibtex] [arXiv] [project page]

    EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera.
    L. Xu, W. Xu, V. Golyanik, M. Habermann, L. Fang and C. Theobalt.
    In Computer Vision and Pattern Recognition (CVPR), 2020; Oral
    [paper] [supplement] [bibtex] [arXiv] [project page]


    HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map.
    J. Malik, I. Abdelaziz, A. Elhayek, S. Shimada, S. A. Ali, V. Golyanik, C. Theobalt and D. Stricker.
    In Computer Vision and Pattern Recognition (CVPR), 2020.
    [paper] [supplement] [bibtex] [arXiv] [project page]


    Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds.
    V. Golyanik. Springer Vieweg Verlag. 2020.
    [Springer] [Springer Link] [Book Flyer]

2019
    Intrinsic Dynamic Shape Prior for Fast, Sequential and Dense Non-Rigid Structure from Motion with Detection of Temporally-Disjoint Rigidity.
    V. Golyanik, A. Jonas, D. Stricker and C. Theobalt.
    arXiv.org, 2019.
    [bibtex] [arXiv] [project page]

    Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data.
    O. Kovalenko, V. Golyanik, J. Malik, A. Elhayek and D. Stricker.
    Sensors (Volume 19, Issue 20), 2019.
    [paper] [link (open access)] [video] [bibtex] [arXiv]


    A Shape Completion Component for Monocular Non-Rigid SLAM.
    Y. Su, V. Golyanik, N. Minaskan, S. A. Ali and D. Stricker.
    International Symposium on Mixed and Augmented Reality (ISMAR), 2019.
    [paper] [supplement (video, 15 MB)] [MSCC Dataset] [bibtex]

    DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies.
    S. Shimada, V. Golyanik, E. Tretschk, D. Stricker and C. Theobalt.
    In International Conference on 3D Vision (3DV), 2019; Oral
    [paper] [poster] [presentation] [project page] [arXiv] [bibtex]

    Optimising for Scale in Globally Multiply-Linked Gravitational Point Set Registration Leads to Singularities.
    V. Golyanik and C. Theobalt.
    In International Conference on 3D Vision (3DV), 2019; Spotlight
    [paper] [supplement (pdf)] [poster] [video] [bibtex]

    FACE IT!: A Pipeline For Real-Time Performance-Driven Facial Animation.
    J. M. Dı́az Barros, V. Golyanik, K. Varanasi and D. Stricker.
    International Conference on Image Processing ICIP, 2019; Oral (Lecture)
    [paper] [bibtex]

    IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction.
    S. Shimada, V. Golyanik, C. Theobalt and D. Stricker.
    Computer Vision and Pattern Recognition Workshops
    (Photogrammetric Computer Vision Workshop), 2019; Oral
    [paper] [bibtex] [arXiv] [project page]


2018
    NRGA: Gravitational Approach for Non-Rigid Point Set Registration.
    S. A. Ali. V. Golyanik and D. Stricker.
    International Conference on 3D Vision (3DV), 2018; Oral
    [paper] [supplementary video] [poster] [bibtex]


    HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model.
    V. Golyanik, S. Shimada, K. Varanasi and D. Stricker.
    EuroVR, 2018; Oral (Long Paper)
    [paper] [HDM-Net data set] [bibtex]

    Improving Time-Of-Flight Sensor for Specular Surfaces With
    Shape from Polarozation.
    T. Yoshida, V. Golyanik, O. Wasenmüller and D. Stricker.
    International Conference on Image Processing (ICIP), 2018.
    [paper] [bibtex]

    Classification of LIDAR Sensor Contaminations with Deep Neural Networks.
    J. K. James, G. Puhlfürst, V. Golyanik and D. Stricker.
    ACM Chapters Computer Science in Cars Symposium (CSCS), 2018; Oral
    [paper] [bibtex]



2017
    Multiframe Scene Flow with Piecewise Rigid Motion.
    V. Golyanik, K. Kim, R. Maier, M. Nießner, D. Stricker and J. Kautz.
    International Conference on 3D Vision (3DV), 2017; Spotlight Oral
    [paper] [arXiv] [supplementary material] [poster] [bibtex]

    Scalable Dense Monocular Surface Reconstruction.
    M.D.Ansari, V. Golyanik and D. Stricker.
    International Conference on 3D Vision (3DV), 2017.
    [paper] [arXiv] [bibtex]

    High-Dimensional Model for Dense Monocular Surface Recovery.
    V. Golyanik and D. Stricker.
    International Conference on 3D Vision (3DV), 2017.
    [paper] [bibtex]

    Introduction to Coherent Depth Fields for Dense Monocular Surface Recovery.
    V. Golyanik, T. Fetzer and D. Stricker.
    British Machine Vision Conference (BMVC), 2017.
    [paper] [supplementary video] [bibtex]

    Towards Scheduling Hard Real-Time Image Processing Tasks
    on a Single GPU.
    V. Golyanik, M. Nasri and D. Stricker.
    International Conference on Image Processing (ICIP), 2017.
    [paper] [bibtex]

    A Framework for an Accurate Point Cloud Based Registration of Full 3D Human Body Scans.
    V. Golyanik, G. Reis, B. Taetz and D. Stricker.
    Machine Vision Applications (MVA), 2017.
    [paper] [bibtex]

    Dense Batch Non-Rigid Structure from Motion in a Second.
    V. Golyanik and D. Stricker.
    Winter Conference on Applications of Computer Vision (WACV), 2017.
    [paper] [supplementary video] [poster] [bibtex]

    Accurate 3D Reconstruction of Dynamic Scenes from Monocular Image Sequences with Severe Occlusions.
    V. Golyanik, T. Fetzer and D. Stricker.
    Winter Conference on Applications of Computer Vision (WACV), 2017.
    [paper] [supplementary material] [poster] [arXiv] [bibtex]

2016

    Joint Pre-Alignment and Robust Rigid Point Set Registration.
    V. Golyanik, B. Taetz and D. Stricker.
    International Conference on Image Processing (ICIP), 2016.
    [paper] [bibtex]

    Gravitational Approach for Point Set Registration.
    V. Golyanik, S. A. Ali and D. Stricker.
    Computer Vision and Pattern Recognition (CVPR), 2016.
    [paper] [supplementary material] [bibtex]

    Extended Coherent Point Drift Algorithm with Correspondence Priors and Optimal Subsampling.
    V. Golyanik, B. Taetz, G. Reis and D. Stricker.
    Winter Conference on Applications of Computer Vision (WACV), 2016.
    [paper] [poster] [bibtex]

    Occlusion-Aware Video Registration for Highly Non-Rigid Objects.
    B. Taetz, G. Bleser, V. Golyanik and D. Stricker.
    Winter Conference on Applications of Computer Vision (WACV), 2016.
    Best Paper Award.
    [paper] [supplementary material] [bibtex]

2015
    Precise and Automatic Anthropometric Measurement Extraction using Template Registration.
    O. Wasenmüller, J. C. Peters, V. Golyanik and D. Stricker.
    International Conference on 3D Body Scanning Technologies (3DBST), 2015.
    [paper] [bibtex]

Recent Positions

  • since Sept.2018:
    Researcher at Max Planck Institute (MPI) for Informatics
  • Jan.2016 - Sept.2018:
    Researcher at German Center for Artificial Intelligence (DFKI),
    Augmented Vision Department, Kaiserslautern, Germany
  • Oct.2016 - April.2017:
    Visiting Research Intern at NVIDIA, Santa Clara, CA, USA
  • March.2014 - Dec.2015:
    Researcher at the University of Kaiserslautern, Department of Computer Science,
    Augmented Vision Lab (operated in cooperation with DFKI)