25 citations · 64 across the 6 of their papers we have counts for
3 papers · 1 filter
Integrating Motion into Vision Models for Better Visual Prediction
Michael Hazoglou, Todd Hylton
We demonstrate an improved vision system that learns a model of its environment using a self-supervised, predictive learning method. The system includes a pan-tilt camera, a foveat…
Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback
Micah Richert, Dimitry Fisher, Filip Piekniewski +2
There has been great progress in understanding of anatomical and functional microcircuitry of the primate cortex. However, the fundamental principles of cortical computation - the…
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
Filip Piekniewski, Patryk Laurent, Csaba Petre +3
Understanding visual reality involves acquiring common-sense knowledge about countless regularities in the visual world, e.g., how illumination alters the appearance of objects in…