no code implementations • 21 Jul 2020 • Louis Abraham, Gary Becigneul, Benjamin Coleman, Bernhard Scholkopf, Anshumali Shrivastava, Alexander Smola
Group testing is a well-studied problem with several appealing solutions, but recent biological studies impose practical constraints for COVID-19 that are incompatible with traditional methods.
1 code implementation • 9 Sep 2019 • Sebastian Gomez-Gonzalez, Sergey Prokudin, Bernhard Scholkopf, Jan Peters
Our method uses encoder and decoder deep networks that maps complete or partial trajectories to a Gaussian distributed latent space and back, allowing for fast inference of the future values of a trajectory given previous observations.
no code implementations • ECCV 2018 • Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Scholkopf
State-of-the-art video restoration methods integrate optical flow estimation networks to utilize temporal information.
no code implementations • CVPR 2017 • Chaochao Lu, Michael Hirsch, Bernhard Scholkopf
We describe a modular framework for video frame prediction.
no code implementations • ICCV 2015 • Michael Hirsch, Bernhard Scholkopf
Even high-quality lenses suffer from optical aberrations, especially when used at full aperture.
no code implementations • 5 Jun 2014 • Dustin Lang, David W. Hogg, Bernhard Scholkopf
We describe a system that builds a high dynamic-range and wide-angle image of the night sky by combining a large set of input images.
no code implementations • CVPR 2014 • Lyndsey C. Pickup, Zheng Pan, Donglai Wei, YiChang Shih, Chang-Shui Zhang, Andrew Zisserman, Bernhard Scholkopf, William T. Freeman
We explore whether we can observe Time's Arrow in a temporal sequence--is it possible to tell whether a video is running forwards or backwards?
no code implementations • CVPR 2013 • Christian J. Schuler, Harold Christopher Burger, Stefan Harmeling, Bernhard Scholkopf
In this work, we also rely on a two-step procedure, but learn the second step on a large dataset of natural images, using a neural network.
no code implementations • CVPR 2013 • Stefan Harmeling, Michael Hirsch, Bernhard Scholkopf
We establish a link between Fourier optics and a recent construction from the machine learning community termed the kernel mean map.