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Found 9 papers, 1 papers with code
Bloom Origami Assays: Practical Group Testing
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.
Real Time Trajectory Prediction Using Deep Conditional Generative Models
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.
Spatio-temporal Transformer Network for Video Restoration
State-of-the-art video restoration methods integrate optical flow estimation networks to utilize temporal information.
Flexible Spatio-Temporal Networks for Video Prediction
We describe a modular framework for video frame prediction.
Self-Calibration of Optical Lenses
Even high-quality lenses suffer from optical aberrations, especially when used at full aperture.
Towards building a Crowd-Sourced Sky Map
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.
Seeing the Arrow of Time
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?
A Machine Learning Approach for Non-blind Image Deconvolution
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.
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit
We establish a link between Fourier optics and a recent construction from the machine learning community termed the kernel mean map.
