  Recent advances in photographic sensing technologies have made it possible to
achieve light detection in terms of a single photon. Photon counting sensors
are being increasingly used in many diverse applications. We address the
problem of jointly recovering spatial and temporal scene radiance from very few
photon counts. Our ConvNet-based scheme effectively combines spatial and
temporal information present in measurements to reduce noise. We demonstrate
that using our method one can acquire videos at a high frame rate and still
achieve good quality signal-to-noise ratio. Experiments show that the proposed
scheme performs quite well in different challenging scenarios while the
existing approaches are unable to handle them.
