Geometry and Deep Learning Call for Papers

ICPR workshop RRPR

Call For Papers

Submission deadline: April, 14th, 2022
Author notification: May, 14th, 2022
Camera-ready: 16 June 2022
Workshop: 21 Aug 2022 Montréal Québec
Special track on  Geometry and Deep Learning

This Call for Papers expects two kinds of contributions.

The track 1 on RR Frameworks is dedicated to the general topics of
Reproducible Research in experimental Computer Science with clear
links to Image Processing and Pattern Recognition. Papers describing
experiences, frameworks or platforms are welcome. The contributions
might also include discussions on software libraries, experiences
highlighting how the works benefit from Reproducible Research.

In the track 2 on RR Results, authors are invited to describe their
works in terms of Reproducible Research. For example, authors of
papers already accepted to ICPR might propose a companion paper
describing the quality of the reproducible aspects. In particular the
papers of this track can focus mainly (but not limited) for instance

	* Algorithmic implementation details
	* Influence of parameter(s) for the result quality (criteria to optimize them).
	* Integration of source code in an other framework.
	* Known limitations (or difficult cases).
	* Future improvements.
	* Installation procedure.
For this track, the topics could overlap with the main topics of the ICPR tracks:

	* Geometry and Deep Learning (special track)
	* Discrete Geometry and Mathematical Morphology
	* Pattern Recognition and Machine Learning
	* Computer Vision and Robot Vision
	* Image, Speech, Signal, and Video Processing
	* Document Analysis, Biometrics, and Pattern Recognition Applications.
	* Biomedical Image Analysis and Applications