• Max-Planck-Institut für Informatik
    Saarland Informatics Campus
    Campus E1 4
    66123 Saarbrücken
  • Room 628
  • bbhatnag@mpi-inf.mpg.de

About Me

I am currently a second year PhD student at `Real Virtual Humans' group, Max Planck Institute for Informatics (MPI-INF), Saarland with Dr. Gerard Pons-Moll. I had previously worked at Microsoft Research, India as a Research Fellow and completed my Masters research at IIIT-H, India working with Prof. C.V. Jawahar and Dr. Chetan Arora.

Research Interests

I'm currently working on extracting 3D human shape from monocular RGB images. Some of my previous projects revolved around unsupervised first person action recognition, deep domain transfer and feature learning.

Publications

SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
in European Conference on Computer Vision (ECCV), 2020.
Oral
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
in European Conference on Computer Vision (ECCV), 2020.
Oral
Unsupervised Shape and Pose Disentanglement for 3D Meshes
Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll
Unsupervised Shape and Pose Disentanglement for 3D Meshes
in European Conference on Computer Vision (ECCV), 2020.
Multi-Garment Net: Learning to Dress 3D People from Images
Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll
Multi-Garment Net: Learning to Dress 3D People from Images
in IEEE International Conference on Computer Vision (ICCV), 2019.
Learning to Reconstruct People in Clothing from a Single RGB Camera
Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll
Learning to Reconstruct People in Clothing from a Single RGB Camera
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.