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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 novel 3D shape representations that give state-of-the-art results for shape classification, detection, and reconstruction. 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 was selected as a Google Summer of Code Student intern for the opersource library of Point Cloud Library and RoboComp. I created a C++ computer vision library OpenDetection (as a standalone library for object detection and recognition) from scratch which was selected as a Google Summer of Code Participating Organization for two consecutive years. I took part in two research-based summer internships - first at the University of Tuebingen, and second at the University of Western Ontario in the subject of augmented reality and computer vision.


Students. If you are interested in working with Neural Rendereing, Human-centric vision and 3D Deep Learning, please shoot me an email..

Publications



    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]

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

    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] [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)