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Dr. Kripasindhu Sarkar

Max-Planck-Institut für Informatik, Department 4
Group: Graphics, Vision & Video
 office: Campus E1 4, Room #room#
Saarland Informatics Campus
66123 Saarbrücken
Germany
 email: Get my email address via email
 phone: +49 681 9325-4020
 fax: +49 681 9325 4099

Research Interests

  • Neural Rendering
  • 3D shape representation
  • Deep learning on 3D data

Master Thesis, Research Immersion Lab (RIL) and HiWi Jobs

  • If you are interested in working with Neural Rendereing and 3D Deep Learning in general, please shoot me an email.

Publications



    Style and Pose Control for Image Synthesis of Humans from a Single Monocular View.
    K. Sarkar, V. Golyanik, L. Liu and C. Theobalt.
    arXiv.org, 2021.
    [Paper] [project page]

    HumanGAN: A Generative Model of Humans Images
    K. Sarkar, L. Liu, V. Golyanik, and C. Theobalt.
    arXiv.org, 2021.
    [paper] [project page]

    Pose-Guided Human Animation from a Single Image in the Wild.
    J. S. Yoon, L. Liu, V. Golyanik, K. Sarkar, H. S. Park, and C. Theobalt.
    Computer Vision and Pattern Recognition (CVPR), 2021
    [paper] [video]


    Simple domain adaptation for CAD based object recognition.
    K. Sarkar and D. Stricker.
    International Conference on Pattern Recognition Applications and Methods, 2019.
    [paper]


    Structured low-rank matrix factorization for point-cloud denoising.
    K. Sarkar, F. Bernard, K. Varanasi, C. Theobal, and D. Stricker.
    International Conference on 3D Vision (3DV), 2018
    [paper] [supplement]


    Learning 3d shapes as multi-layered height-maps using 2d convolutional networks.
    K. Sarkar, B. Hampiholi, K. Varanasi, and D. Stricker.
    European Conference on Computer Vision (ECCV), 2018.
    [paper] [supplement]


    Denoising of Point-clouds Based on Structured Dictionary Learning.
    K. Sarkar, F. Bernard, K. Varanasi, C. Theobal, and D. Stricker.
    Symposium on Geometry Processing, Eurographics Association (SGP), 2018. (invited poster)
    [paper]


    3D Shape Processing by Convolutional Denoising Autoencoders on Local Patches.
    K. Sarkar, K. Varanasi, and D. Stricker.
    Winter Conference on Applications of Computer Vision (WACV), 2018
    [paper]


    Learning quadrangulated patches for 3d shape parameterization and completion.
    K. Sarkar, K. Varanasi, and D. Stricker.
    International Conference on 3D Vision (3DV), 2017
    [paper]


    Trained 3d models for CNN based object recognition.
    K. Sarkar, K. Varanasi, and D. Stricker.
    International Conference on Computer Vision Theory and Applications (VISAPP), 2017
    [paper]


    Feature-augmented trained models for 6dof object recognition and camera calibration.
    K. Sarkar, A. Pagani, and D. Stricker.
    International Conference on Computer Vision Theory and Applications (VISAPP), 2016
    [paper]

Teaching

  • Summer 2019
    2D Image Processing (2DIP 2019), TU Kaiserslautern - Teaching Assistant and Lecturer (60% of the lectures).
  • Summer 2018
    2D Image Processing (2DIP 2019), TU Kaiserslautern - Teaching Assistant and Lecturer (30% of the lectures).

Recent Positions

  • Since August 2019
    Postdoc at Max-Planck-Institut for Informatics
  • 2015 - July 2019
    Researcher at German Center for Artificial Intelligence (DFKI)
  • 2012 - 2014
    Software Engineer at Paypal India

Education

  • 2015 - July 2019
    PhD student at TU Kaiserslautern. Status - Thesis submitted; currently waiting for reviews.
  • 2007 - 2012
    Bachelor(H) and Master of Technology in Computer Science and Engineering
    Indian Institute of Technology, Kharagpur (IIT Kharagpur)