128 citations · 251 across the 37 of their papers we have counts for
4 papers · 1 filter
Enhancing Passive Non-Line-of-Sight Imaging Using Polarization Cues
Kenichiro Tanaka, Yasuhiro Mukaigawa, Achuta Kadambi
This paper presents a method of passive non-line-of-sight (NLOS) imaging using polarization cues. A key observation is that the oblique light has a different polarimetric signal. I…
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…