37 citations · 47 across the 3 of their papers we have counts for
5 papers
Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization
Mikko Lauri, Joni Pajarinen, Jan Peters +1
3D scene models are useful in robotics for tasks such as path planning, object manipulation, and structural inspection. We consider the problem of creating a 3D model using depth i…
6D Object Pose Regression via Supervised Learning on Point Clouds
Ge Gao, Mikko Lauri, Yulong Wang +3
This paper addresses the task of estimating the 6 degrees of freedom pose of a known 3D object from depth information represented by a point cloud. Deep features learned by convolu…
AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects
Christian Wilms, Simone Frintrop
We propose a novel approach for class-agnostic object proposal generation, which is efficient and especially well-suited to detect small objects. Efficiency is achieved by scale-sp…
Multi-label Object Attribute Classification using a Convolutional Neural Network
Soubarna Banik, Mikko Lauri, Simone Frintrop
Objects of different classes can be described using a limited number of attributes such as color, shape, pattern, and texture. Learning to detect object attributes instead of only…
Multi-Robot Active Information Gathering with Periodic Communication
Mikko Lauri, Eero Heinänen, Simone Frintrop
A team of robots sharing a common goal can benefit from coordination of the activities of team members, helping the team to reach the goal more reliably or quickly. We address the…