Gaurav Bharaj

Gaurav Bharaj

Provides leadership, strategy, and research guidance to help build next-generation AI-based solution. Working at the intersection of vision, graphics, audio, and NLP, I lead scientists and engineers to deliver research-driven products in multi-modal neural human industries. I am passionate about harnessing advances in visual computing and generative AI technologies to empower and enhance human lives.

VP of Research at AI Foundation, where I led generative science research to create virtual humans and co-founder of Reality Defender. Previously, I worked as a researcher at Technicolor R&I. I got my Ph.D. in Computer Science from Harvard University under the supervision of Hanspeter Pfister and Masters from University of Pennsylvania. Previously, worked at Max-Planck Institute of Informatics, where my advisor was Christian Theobalt.

Email / Google Scholar / LinkedIn

Publications

	Multi-Domain Multi-Definition Landmark Localization for Small Datasets David Ferman, Gaurav Bharaj European Conference on Computer Vision (ECCV), 2022
	Towards Device Efficient Conditional Image Generation Nisarg A Shah, Gaurav Bharaj British Machine Vision Conference (BMVC), 2022
	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 arXiv: 2021
	Grapheme-to-Phoneme Transformer Model for Transfer Learning Dialects Eric Engelhart, Mahsa Elyasi, Gaurav Bharaj arXiv: 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)