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

About Me

I am a 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

My research focus is on building realistic and smart virtual humans. I've worked on modelling 3D humans and clothing, where we explored tasks like 3D reconstruction, registrations, animation, correspondence prediction etc. from images, videos and point clouds.
What's next? To build the next generation of smart virtual humans, modelling the appearance of virtual humans is necessary but not sufficient. We also need to model how humans behave in their environments. To this end, I'm currently focusing on building models of human-scene interactions.

News

Publications

CHORE: Contact, Human and Object REconstruction from a single RGB image
Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll
CHORE: Contact, Human and Object REconstruction from a single RGB image
in European Conference on Computer Vision (ECCV), 2022.
COUCH: Towards Controllable Human-Chair Interactions
Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, Gerard Pons-Moll
COUCH: Towards Controllable Human-Chair Interactions
in European Conference on Computer Vision (ECCV), 2022.
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
in European Conference on Computer Vision (ECCV), 2022.
BEHAVE: Dataset and Method for Tracking Human Object Interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya Petrov, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
BEHAVE: Dataset and Method for Tracking Human Object Interactions
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
in Advances in Neural Information Processing Systems (NeurIPS), 2020.
Oral
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.