7 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation
Jonas Heylen, Mark De Wolf, Bruno Dawagne +5
Monocular 3D object detection has recently shown promising results, however there remain challenging problems. One of those is the lack of invariance to different camera intrinsic…
3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances
Wim Abbeloos, Esra Ataer-Cansizoglu, Sergio Caccamo +2
Unsupervised object modeling is important in robotics, especially for handling a large set of objects. We present a method for unsupervised 3D object discovery, reconstruction, and…
Detecting and Grouping Identical Objects for Region Proposal and Classification
Wim Abbeloos, Sergio Caccamo, Esra Ataer-Cansizoglu +3
Often multiple instances of an object occur in the same scene, for example in a warehouse. Unsupervised multi-instance object discovery algorithms are able to detect and identify s…
Team Applied Robotics: A closer look at our robotic picking system
Wim Abbeloos, Fabian Gouwens, Simon Jansen +3
This paper describes the vision based robotic picking system that was developed by our team, Team Applied Robotics, for the Amazon Picking Challenge 2016. This competition challeng…