33 citations · 43 across the 3 of their papers we have counts for
4 papers
Overcoming Difficulty in Obtaining Dark-skinned Subjects for Remote-PPG by Synthetic Augmentation
Yunhao Ba, Zhen Wang, Kerim Doruk Karinca +2
Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e.g., heart rate) using facial videos. Recent deep learning architectur…
Visual Physics: Discovering Physical Laws from Videos
Pradyumna Chari, Chinmay Talegaonkar, Yunhao Ba +1
In this paper, we teach a machine to discover the laws of physics from video streams. We assume no prior knowledge of physics, beyond a temporal stream of bounding boxes. The probl…
Blending Diverse Physical Priors with Neural Networks
Yunhao Ba, Guangyuan Zhao, Achuta Kadambi
Machine learning in context of physical systems merits a re-examination of the learning strategy. In addition to data, one can leverage a vast library of physical prior models (e.g…
Deep Shape from Polarization
Yunhao Ba, Alex Ross Gilbert, Franklin Wang +6
This paper makes a first attempt to bring the Shape from Polarization (SfP) problem to the realm of deep learning. The previous state-of-the-art methods for SfP have been purely ph…