Home Call for Extended Abstracts Submissions Program List of Accepted Extended Abstracts

Challenge #1

Imperial College London

Multi-Instance & Bin-picking Object Challenge

Challenge #2

TU Dresden

Articulated Object Challenge

Occluded Object Challenge

Challenge #3

TU Graz & EPFL

3D Rigid Tracking from RGB Images Challenge

Challenge #4

Czech Tech. University

T-LESS Textureless Object Challenge

Challenge #5

University of Birmingham

Highly Occluded Object Challenge



Aims and Scope




Invited Speakers


The development of RGB-D sensors, high GPU computing, and scalable machine learning algorithms have opened the door to a whole new range of technologies and applications which require detecting and estimating object poses in 3D environments for a variety of scenarios.

Our program will feature several high-quality invited talks, poster presentations, and a panel discussion to identify key research questions and highlight future research directions.

We invite submissions of extended abstracts of ongoing or already published work. Accepted abstracts will be presented as posters / spotlights at the workshop, in areas including, but not limited to:

  • 3D object detection
  • Object detection in depth images
  • Joint registration of multiple 3D objects
  • 6 DoF object pose, under heavy occlusions and background clutters
  • Occlusion-aware segmentation
  • Bin-picking
  • 3D object tracking
  • Surface representation and fitting
  • Non-rigid (deformable or articulated) object registration
  • 3D object modelling
  • Multiple object instance detection
  • Object class (category) detection
  • We also invite authors to submit results to our challenges. Such results will be presented at the workshop and likely cited in later work.



    Tae-Kyun Kim, Imperial College London

    Vincent Lepetit, TU Graz

    Carsten Rother, TU Dresden

    Jiri Matas, Czech Technical University

    Ales Leonardis, University of Birmingham

    Rigas Kouskouridas, Imperial College London


    Challenge Chairs


    Andreas Doumanoglou, Imperial College London

    Alexander Krull, TU Dresden

    Frank Michel, TU Dresden


    Prize Awards for


    Best Poster

    Best Performance in Challenges



    Silvio Savarese, Stanford University

    Justus Piater, University of Innsbruck

    Shahram Izadi, Microsoft Research Redmond

    Richard Newcombe, University of Washington, Oculus Research

    Jiri Matas, Czech Technical University

    Carsten Rother, TU Dresden

    Vincent Lepetit, TU Graz

    Ales Leonardis, University of Birmingham

    Tae-Kyun Kim, Imperial College London





    Other Datasets


    Rutgers APC RGB-D Dataset