Second Rhobin Challenge - Reconstruction of human-object interaction Call for Papers
Call for participants and papers
Second Rhobin Challenge - Reconstruction of human-object interaction in conjunction with CVPR 2024, June 2024, Seattle, USA
Website: https://rhobin-challenge.github.io/
Important dates
Full-paper submission deadline: March 15, 2024
Notification to authors: April 5, 2024
Camera-ready deadline: April 12, 2024
Workshop: June 17/18, 2024
Aims and scope
This half-day workshop will provide a venue to present and discuss
state-of-the-art research in the reconstruction of human-object
interactions from images. We invite papers on topics related broadly
to human-centered interaction modeling. This could include but is not
limited to
Estimation of 3D human pose and shape from a single image or video
3D human motion prediction
Interactive motion sequence generation
Shape reconstruction from a single image
Object 6-DoF pose estimation and tracking
Human-centered object semantics and functionality modeling
Joint reconstruction of both bodies and objects/scenes
Contact detection/estimation from visual input
Interaction modeling between humans and objects, e.g., contact,
physics properties
Detection of human-object interaction semantics
New datasets or benchmarks that have 3D annotations of both humans
and objects/scenes.
Participation details of the Rhobin challenge can be found below.
Submission guidelines
We invite submissions of a maximum of 8 pages, excluding references,
using the CVPR template. Submissions should follow CVPR 2024
instructions. All papers will be subject to a double-blind review
process, i.e. authors must not identify themselves on the submitted
papers. The reviewing process is single-stage without rebuttals.
Online Submission System: https://cmt3.research.microsoft.com/Rhobin2024
Submission Format: CVPR template (double column; no more than 8
pages, excluding reference). Submissions are anonymous and should
not include any author names, affiliations, and contact
information in the PDF.
If you have any questions, feel free to reach out to us.
Workshop organizers
Xi Wang, ETH Zurich, Switzerland Xianghui Xie, MPI Informatics, Germany
Nikos Athanasiou, MPI Intelligent System, Germany
Ilya Petrov, University of Tübingen, Germany
Kaichun Mo, NVIDIA, USA
Bharat Lal Bhatnagar, Meta, Switzerland
Julien Valentin, Microsoft
Dimitrios Tzionas, University of Amsterdam, Netherlands
Otmar Hilliges, ETH Zurich, Switzerland
Luc Van Gool, ETH Zurich, Switzerland
Gerard Pons-Moll, University of Tübingen and MPI Informatics, Germany
The Second Rhobin Challenge
We propose a challenge on reconstructing 3D human and object and
estimating 3D human-object and human-scene contact, from monocular RGB
images. In this workshop, we continue to examine how well the existing
human and object reconstruction and contact estimation methods work
under more realistic settings and more importantly, understand how
they can benefit each other for accurate interaction reasoning. The
recently released BEHAVE (CVPR'22), InterCap (GCPR’22) and DAMON
(ICCV’23) datasets enable joint reasoning about human-object
interactions in real settings and evaluating contact prediction in the
wild. We use these datasets in the second Rhobin challenge to spark
research in human-object interaction modeling. Challenge winners will
be awarded on the day of the workshop.
Challenge website: 3D human reconstruction
(https://codalab.lisn.upsaclay.fr/competitions/17571)
6DoF pose estimation of rigid objects
(https://codalab.lisn.upsaclay.fr/competitions/17524)
Joint reconstruction of human and object
(https://codalab.lisn.upsaclay.fr/competitions/17522)
Tracking human-object interaction in a video
(https://codalab.lisn.upsaclay.fr/competitions/17572)
3D contact prediction from RGB images
(https://codalab.lisn.upsaclay.fr/competitions/17561)
Challenges are open and more information can be found on the website.
Important dates
Challenge open: February 5, 2024
Submission deadline: May 30, 2024
Winner award: June 17/18, 2024
Challenge organizers
Xianghui Xie, MPI Informatics, Germany Shashank Tripathi, MPI
Intelligent System, Germany
Dimitrios Tzionas, University of Amsterdam, Netherlands
Gerard Pons-Moll, University of Tübingen and MPI Informatics, Germany