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Dr. Kripasindhu Sarkar

Max-Planck-Institut für Informatik
Department 6: Visual Computing and Artificial Intelligence
 office: Campus E1 4, Room E1 4 220
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 / Bio

My research goal is to assist in creating digital media for AR/VR and editing applications that are indistinguishable from reality. This includes, but is not limited to, algorithms to create digital and virtual humans with limited data (up to a single image) that are photorealistic and fully controllable (pose, viewpoints, shape, appearance, etc.), estimation and generation of human pose and gesture, neural rendering, and 3D representations.

Bio. I am a postdoctoral researcher in the Visual Computing and AI department (previously GVV) of Prof. Christian Theobalt at Max-Planck Institute for Informatics, where I work on photorealistic rendering of humans and human-centric vision. I obtained my PhD under Prof. Didier Stricker at German Research Center for Artificial Intelligence (DFKI) Kaiserslautern, where I designed 3D shape representations for general machine learning applications. I got my bachelor and masters degrees in the subject of Computer Science and Engineering from the Indian Institute of Technology Kharagpur, India (IIT Kharagpur).

During my undergraduate/postgraduate studies, I interned as a Google Summer of Code Student for Point Cloud Library (2012) and RoboComp (2015), and as a summer student at University of Tuebingen and University of Western Ontario. My C++ library (created from scratch) OpenDetection was selected as a Google Summer of Code Participating Organization for two consecutive years (2016-2017).


Students. I have several topics related to Human Centric Rendering that can be suitable for master's thesis/internship/RIL. If you are interested and passionate on these topics or on the general topic of Neural Rendereing, GANs, and Human-centric vision, do not hesitate to contact me.

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]
    Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control.
    L. Liu, M. Habermann, V. Rudnev, K. Sarkar, J. Gu and C. Theobalt.
    arXiv.org, 2021.
    [Paper] [project page]

    EgoRenderer: Rendering Human Avatars from Egocentric Camera Images
    T. Hu, K. Sarkar, L. Liu, M Zwicker and C. Theobalt.
    International Conference on Computer Vision (ICCV), 2021
    [project page] [project page]

    Estimating Egocentric 3D Human Pose in Global Space
    J. Wang, L. Liu, W. Xu, K. Sarkar and C. Theobalt.
    International Conference on Computer Vision (ICCV), 2021
    [Paper] [project page (coming soon)]

    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] [project page]


    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)