Gaurav Bharaj: Email / Google Scholar / LinkedIn


I am Director of Research at AI Foundation, where I lead the generative science research to create virtual humans. I did my Ph.D. in Computer Science from Harvard University under the supervision of Hanspeter Pfister and Masters from University of Pennsylvania. Previously, I worked as a researcher at Technicolor R&I and at Max-Planck Institute of Informatics, where my advisor was Christian Theobalt. I spent summers working at MIT, Disney Research, Adobe Research, and Intel.


How to join: I am looking for strong profiles with interest in Computer Vision, Audio Synthesis, Natural Language Generation, and Deep Learning. If interested apply: here

Publications

Generalized Spoofing Detection Inspired from Audio Generation Artifacts
Yang Gao, Tyler Vuong, Mahsa Elyasi, Gaurav Bharaj, Rita Singh
InterSpeech, 2021
Generative Landmarks
David Ferman, Gaurav Bharaj
Eurographics (Computer Graphics Forum) Poster, 2021
Practical Face Reconstruction via Differentiable Ray Tracing
Abdallah Dib, Gaurav Bharaj, Junghyun Ahn, Cedric Thebault, Philippe-Henri Gosselin, Marco Romeo, Louis Chevallier
Eurographics (Computer Graphics Forum), 2021
Flavored Tacotron: Conditional Learning for Prosodic-linguistic Features
Mahsa Elyasi, Gaurav Bharaj
In Submission: 2021
Grapheme-to-Phoneme Transformer Model for Transfer Learning Dialects
Eric Engelhart, Mahsa Elyasi, Gaurav Bharaj
In Submission: 2021
Deep Digital Humans
Gaurav Bharaj
NVIDIA Inception, 2020
StyleRig: Rigging StyleGAN for 3D Control over Portrait Images
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt
Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
Identification of Neural-Network-Generated Fake Images
Matthias Niessner, Gaurav Bharaj
US20200160502A1, 2020
Face Reflectance and Geometry Modeling via Differentiable Ray Tracing
Abdallah Dib, Gaurav Bharaj, Junghyun Ahn, Cedric Thebault, Philippe-Henri Gosselin, Louis Chevallier
Conference on Visual Media Production (CVMP), 2019
FML: Face Model Learning from Videos
Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt
Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
Metamorphs: Bistable Planar Structures
Gaurav Bharaj, Danny Kaufman, Etienne Vouga, Hanspeter Pfister
Technical Report, 2018
Methods in Computational Design and Optimization
Gaurav Bharaj
Ph.D. Thesis, 2017
Walking Machines
Bernd Bickel, Gaurav Bharaj, Bernhard Thomaszewski, Stelian Coros
US20160059140A1, 2016
Computational Design of Metallophone Contact Sounds
Gaurav Bharaj, David Levin, James Tompkin, Yun Fei, Hanspeter Pfister, Wojciech Matusik & Changxi Zheng
ACM Transactions on Graphics (SIGGRAPH Asia 2015), 34(6)
Computational Design of Walking Automata
Gaurav Bharaj, Stelian Coros, Bernhard Thomaszewski, James Tompkin, Bernd Bickel & Hanspeter Pfister
ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA 2015)
Personalization and Evaluation of a Real-time Depth-based Full Body Tracker
Thomas Helten, Andreas Baak, Gaurav Bharaj, Meinard Müller, Hans-Peter Seidel & Christian Theobalt
3D Vision (3DV 2013)
Automatically Rigging Multi-component Characters
Gaurav Bharaj, Thorsten Thormählen, Hans-Peter Seidel & Christian Theobalt
European Association for Computer Graphics (Eurographics 2012)
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel & Christian Theobalt
IEEE International Conference on Computer Vision (ICCV 2011)
Video-based Characters - Creating New Human Performances from a Multi-view Video Database
Feng Xu, Yebin Liu, Carsten Stoll, James Tompkin, Gaurav Bharaj, Qionghai Dai, Hans-Peter Seidel, Jan Kautz & Christian Theobalt
ACM Transactions on Graphics (SIGGRAPH 2011)