no code implementations • 17 Mar 2024 • Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Ilya Petrov, Vladimir Guzov, Helisa Dhamo, Eduardo Pérez-Pellitero, Gerard Pons-Moll
Our key insight is that human motion is dictated by the interrelation between the force exerted by the human and the perceived resistance.
no code implementations • 5 May 2022 • Vladimir Guzov, Julian Chibane, Riccardo Marin, Yannan He, Yunus Saracoglu, Torsten Sattler, Gerard Pons-Moll
In order for widespread adoption of such emerging applications, the sensor setup used to capture the interactions needs to be inexpensive and easy-to-use for non-expert users.
no code implementations • 1 May 2022 • Xiaohan Zhang, Bharat Lal Bhatnagar, Vladimir Guzov, Sebastian Starke, Gerard Pons-Moll
In this work, we study the problem of synthesizing scene interactions conditioned on different contact positions on the object.
no code implementations • 22 Apr 2022 • Verica Lazova, Vladimir Guzov, Kyle Olszewski, Sergey Tulyakov, Gerard Pons-Moll
With the aim of obtaining interpretable and controllable scene representations, our model couples learnt scene-specific feature volumes with a scene agnostic neural rendering network.
1 code implementation • CVPR 2021 • Vladimir Guzov, Aymen Mir, Torsten Sattler, Gerard Pons-Moll
We introduce (HPS) Human POSEitioning System, a method to recover the full 3D pose of a human registered with a 3D scan of the surrounding environment using wearable sensors.