Srinath Sridhar

ssrinath@cs.stanford.edu
personal page

Research interests

The goal of my research is to digitize human physical interactions and manual skills from visual data so we can build more immersive virtual/augmented realities, and smarter robots. I develop methods that provide 3D human-centric, object-centric, and interaction-centric understanding of our world from videos and images. Please see below for more details.

Recent publications

He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas. Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. Computer Vision and Pattern Recognition (CVPR) 2019 (Oral).   
Learning Generalizable Physical Dynamics of 3D Rigid Objects Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas. arXiv preprint, arXiv:1901.00466, 2019.   
Learning a Generative Model for Multi-Step Human-Object Interactions from Videos. He Wang*, Soeren Pirk*, Ersin Yumer, Vladimir Kim, Ozan Sener, Srinath Sridhar, Leonidas J. Guibas. Eurographics 2019. (* joint first authors) [Best Paper Honorable Mention]   
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB. Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar, Gerard Pons-Moll, Christian Theobalt. International Conference on 3D Vision (3DV) 2018.   
GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB. Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Christian Theobalt. Computer Vision and Pattern Recognition (CVPR) 2018 (spotlight).   
Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor. Franziska Mueller, Dushyant Mehta, Oleksandr Sotnychenko, Srinath Sridhar, Dan Casas, Christian Theobalt. International Conference on Computer Vision (ICCV) 2017.   
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera. Dushyant Mehta, Srinath Sridhar, Oleksandr Sotnychenko, Helge Rhodin, Mohammad Shafiei, Hans-Peter Seidel, Weipeng Xu, Dan Casas, Christian Theobalt. ACM Transactions on Graphics (SIGGRAPH) 2017.   
WatchSense: On- and Above-Skin Input Sensing through a Wearable Depth Sensor. Srinath Sridhar, Anders Markussen, Antti Oulasvirta, Christian Theobalt, Sebastian Boring. SIGCHI Conference on Human Factors in Computing Systems (CHI) 2017.