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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

Research Interests

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

Publications

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]

    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 , Kihwan Kim, Robert Maier, Matthias Nießner, Didier Stricker and Jan Kautz.
    International Conference on 3D Vision (3DV), 2017; Spotlight Oral
    [paper] [arXiv] [supplementary video] [poster] [bibtex]

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

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

    Introduction to Coherent Depth Fields for Dense Monocular Surface Recovery.
    V. Golyanik, T. Fetzer and D. Stricker.

    [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] [supplementary video] [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] [supplementary video] [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] [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 video] [bibtex]

2016
    NRSfM-Flow: Recovering Non-Rigid Scene Flow from Monocular Image Sequences.
    V. Golyanik , A.S. Mathur and D. Stricker.
    British Machine Vision Conference (BMVC), 2016.
    [paper] [supplementary video] [bibtex]

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

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

Recent Positions

  • since Sept.2018 - :
    Researcher at Max Planck Institute 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 - Dez.2015:
    Researcher at University of Kaiserslautern, Department of Computer Science, Augmented Vision Lab (operated in cooperation with DFKI)

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