1 code implementation • 21 Jul 2022 • Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
We introduce TIDEE, an embodied agent that tidies up a disordered scene based on learned commonsense object placement and room arrangement priors.
no code implementations • ECCV 2020 • Adam W. Harley, Shrinidhi K. Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki
We propose to leverage multiview data of \textit{static points} in arbitrary scenes (static or dynamic), to learn a neural 3D mapping module which produces features that are correspondable across time.
1 code implementation • 28 Feb 2018 • Paul Schydlo, Mirko Rakovic, Lorenzo Jamone, José Santos-Victor
Recent approaches based on neural networks have led to encouraging results in the human action prediction problem both in continuous and discrete spaces.