DynaVis: The Second International Workshop on Dynamic Scene Reconstruction Call for Papers
DynaVis: The Second International Workshop on Dynamic Scene Reconstruction
https://dynavis.github.io/
Workshop at CVPR 2020, Seattle, Washington
Organizers:
Armin Mustafa, Marco Volino, Michael Zollhöfer,
Dan Casas, Christian Richardt, Adrian Hilton
Keynote Speakers
Prof. Yaser Sheikh
Director, Oculus Research Pittsburgh, and Carnegie Mellon University
Prof. Raquel Urtasun (tbc)
Uber ATG Chief Scientist and the Head of Uber ATG Toronto,
University of Toronto
Call for contributions
Reconstruction of general dynamic scenes is motivated by potential
applications in film and broadcast production together with the
ultimate goal of automatic understanding of real-world scenes from
distributed camera networks. With recent advances in sensor hardware
and the advent of learning-based approaches as well as virtual and
augmented reality, dynamic scene reconstruction is being applied to
ever more complex scenes with applications in healthcare, security,
education, and entertainment, including games, film and VR/AR.
We welcome contributions to this workshop in the form of oral
presentations, posters, and demos. Suggested topics include, but are
not limited to:
Dynamic 3D reconstruction from single, stereo or multiple views
Learning-based methods in dynamic scene reconstruction and understanding
Multi-modal dynamic scene modelling (RGBD, LIDAR, 360 videos, light fields)
4D reconstruction and modelling
3D/4D data acquisition, representation, compression, and transmission
Scene analysis and understanding in 2D and 3D
Structure from motion, camera calibration, and pose estimation
Digital humans: motion and performance capture, bodies, faces, hands
Geometry processing
Computational photography
Appearance reconstruction and modeling: materials, reflectance, illumination
Scene modelling in the wild, moving cameras, handheld cameras
Applications of dynamic scene reconstruction (VR/AR, character
animation, free-viewpoint video, relighting, medical imaging,
creative content production, animal tracking, HCI, sports)
We welcome submissions from both industry and academia, including
interdisciplinary work and work from outside of the mainstream
computer vision community. We also welcome submissions from the CVPR
main conference, regardless of their acceptance.
Submission website: https://cmt3.research.microsoft.com/DYNAVIS2020
Prizes
Best Paper will receive an NVIDIA Geforce RTX 2080 GPU, courtesy of
our main sponsor NVIDIA.
Important Dates
Paper submission deadline: Friday, 6 March 2020
Notification to authors: Monday, 23 March 2020
Camera-ready deadline: Friday, 3 April 2020