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Special Session
Special Session on
Recent Advances in Event-Based Computing
 - EVEnt 2021

8 - 10 February, 2021

Within the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP 2021


Camille Simon-Chane
ETIS, CY Cergy Paris Université, ENSEA, CNRS, UMR8051

Brief Bio
Camille Simon Chane received her Msc in Electrical and Computer Engineering from the Georgia Institute of Technology in 2008. In 2009 she received the French Engineering diploma from ENSEA. She received her PhD in Imaging Instrumentation and Computer Vision from the University of Burgundy in 2013 for her work on the registration of featurless 3D and multispectral data. In 2013 and 2014 she has worked at the Cité de la musique, developing a luminescence multispectral camera for the study of violin varnishes. She was then part of Ryad Benosman’s Vision and Natural Computation team at the Institut de la Vision, where she acquired her expertise in event-based data processing. Since 2017 she is an Associate Professor at ENSEA, conducting her research in the Cell team of ETIS laboratory. Her interests continue to be related to data processing from unconventional sensor for health and cultural heritage.
Sio Hoi Ieng
Sorbonne University

Brief Bio
Sio Hoi Ieng is an Associate Professor at the University Pierre and Marie Curie and a member of the Vision Institute, Paris, France. He worked on the geometric modeling of noncentral catadioptric vision sensors and their link to the caustic surface. His current research interests include computer vision, with special reference to the understanding of general vision sensors, cameras networks, neuromorphic event-driven vision and event-based signal processing.
Özgün Yilmaz
ETIS, CY Cergy Paris Université, ENSEA, CNRS, UMR8051

Brief Bio
Özgün Yilmaz started her career as a satellite systems’ engineer. In 2018, she recieved a PhD degree for her work on "Infrared based relative navigation for active debris removal" which was a collaboration project between Cranfield University (UK), European Space Agency (NL) and Airbus SODERN (FR). Since 2019, she is working as a researcher and teaching in ETIS, ENSEA - University of Cergy-Pontoise - CNRS, UMR 8051. Her current research interests include computer vision, event-based cameras, navigation and sensor fusion with special interest in healthcare and space applications.


Event-based cameras are gaining interest for vision tasks but there are no identified communication outlets to present and compare ongoing research. The objective of this special session is to gather experts in the field to discuss recent advances in event-based computer vision. Applications can include but are not limited to: autonomous vehicles, robotics, surveillance, health, etc.


Topics of interest include, but are not limited to:
  • Event-based cameras
  • Event-based data processing


Paper Submission: December 14, 2020 (expired)
Authors Notification: December 22, 2020 (expired)
Camera Ready and Registration: January 5, 2021 (expired)


Gregory Cohen, Western Sydney University, Australia
Aymeric Histace, ETIS UMR CNRS 8051, France
Florian Kölbl, ETIS Laboratory UMR 8051 (CY Cergy Paris Université, ENSEA, CNRS), France

(list not yet complete)


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library

Selected papers addressing large scale visual computing problems will be invited to submit extended versions of their papers to a Special Issue of the Frontiers in Robotics and AI journal.


VISIGRAPP Special Sessions - EVEnt 2021
e-mail: visigrapp.secretariat@insticc.org