30 citations · 39 across the 3 of their papers we have counts for
3 papers
cs.RO2017★ 5 cited
Semantic Segmentation from Limited Training Data
A. Milan, T. Pham, K. Vijay +22
We present our approach for robotic perception in cluttered scenes that led to winning the recent Amazon Robotics Challenge (ARC) 2017. Next to small objects with shiny and transpa…
cs.RO2017★ 30 cited
Visual Servoing from Deep Neural Networks
Quentin Bateux, Eric Marchand, Jürgen Leitner +2
We present a deep neural network-based method to perform high-precision, robust and real-time 6 DOF visual servoing. The paper describes how to create a dataset simulating various…
cs.RO2017★ 4 cited
What Would You Do? Acting by Learning to Predict
Adam Tow, Niko Sünderhauf, Sareh Shirazi +2
We propose to learn tasks directly from visual demonstrations by learning to predict the outcome of human and robot actions on an environment. We enable a robot to physically perfo…