Synthetic data are becoming a critical tool for building artificially
in...
This work introduces alternating latent topologies (ALTO) for high-fidel...
Several papers have rightly included minority groups in artificial
intel...
We propose a large-scale dataset of real-world rainy and clean image pai...
Rotation augmentations generally improve a model's invariance/equivarian...
Camera-based remote photoplethysmography (rPPG) provides a non-contact w...
This paper presents a method of passive non-line-of-sight (NLOS) imaging...
In this paper, we teach a machine to discover the laws of physics from v...
Machine learning in context of physical systems merits a re-examination ...
How should prior knowledge from physics inform a neural network solution...
Time of flight cameras may emerge as the 3-D sensor of choice. Today, ti...
Continuous-wave Time-of-flight (TOF) range imaging has become a commerci...