15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.AI2017★ 15 cited
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks
Aditya Gudimella, Ross Story, Matineh Shaker +4
Deep reinforcement learning yields great results for a large array of problems, but models are generally retrained anew for each new problem to be solved. Prior learning and knowle…
cs.CV2016
Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences
Wenbin Li, Darren Cosker, Matthew Brown
It is hard to densely track a nonrigid object in long term, which is a fundamental research issue in the computer vision community. This task often relies on estimating pairwise co…