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Per Karlsson

2 accepted papers

2020

SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data

ECCV 2020poster

With a proliferation of generic domain-adaptation approaches, we report a simple yet effective technique for learning difficult per-pixel 2.5D and 3D regression representations of articulated people. We obtained strong sim-to-real domain generalization for the 2.5D DensePose estimation task and the…

Cited by 34SourcePDFScholar
2019

Stochastic Prediction of Multi-Agent Interactions from Partial Observations

ICLR 2019poster

We present a method which learns to integrate temporal information, from a learned dynamics model, with ambiguous visual information, from a learned vision model, in the context of interacting agents. Our method is based on a graph-structured variational recurrent neural network, which is trained en…

Cited by 118SourcePDFScholar