EPIC@CVPR2020 – Call for Extended Abstracts

You are invited to submit abstracts on published and ongoing work to the sixth edition of the International Workshop on Egocentric Perception Interaction and Computing (EPIC) at CVPR 2020:

http://eyewear-computing.org

Submission Extended Abstracts: May 1st, 2020

Notification of Acceptance: May 15th, 2020

Camera-Ready Paper Due (on ArXiv): June 8th, 2020

Workshop: June 15th

Aims and Scope

This EPIC@X series of workshops aims to bring together the various communities that are relevant to egocentric perception including Computer Vision, Multimedia, HCI and the Visual Sciences and the series is held alongside the major conferences in these fields. This follows five previous successful workshops: EPIC@ECCV2016, EPIC@ICCV2017, EPIC@ECCV2018, EPIC@CVPR2019 and EPIC@ICCV2019.

EPIC@CVPR2020 will accept Extended Abstracts for ongoing or already published work, for presentation at the workshop. Both research and application works related to Egocentric Perception, Interaction and Computing are encouraged, including those that can be demonstrated or are in the prototype stages.

Egocentric perception introduces a series of challenging questions for computer vision as motion, real-time responsiveness, and generally uncontrolled interactions in the wild are more frequently required or encountered. Questions such as what to interpret as well as what to ignore, how to efficiently represent egocentric actions, and how captured information can be turned into useful data for guidance or log summaries become central.

Submissions are expected to deal with human-centric perception including, but not limited to:

– Egocentric vision for human action analysis 

– Egocentric vision for object/event recognition 

– Egocentric vision for summarization 

– Egocentric vision for social interaction and human behavior understanding 

– Egocentric vision for anticipating human behavior 

– Egocentric vision for children and education 

– Egocentric vision for health 

– Head-mounted eye tracking and gaze estimation 

– Computational visual behavior analysis 

– Attention modelling and next fixation prediction 

– Eye-based human-computer interaction 

– Human and wearable devices interaction 

– Symbiotic human-machine vision systems 

– Affective computing with respect to wearable devices 

– Eyewear devices for egocentric perception and computation 

– Eyewear devices for acquisition and visualization 

– Interactive AR/VR and Egocentric perception 

– Egocentric vision in human and computer 

– Daily life and activity monitoring 

– Augmented human performance 

– Benchmarking and quantitative evaluation with human subject experiments 

Invited Speakers:

Yoichi Sato, University of Tokyo, Japan

Kristen Grauman, University of Texas at Austin and Facebook AI Research, USA

Submission Details:

http://www.eyewear-computing.org/EPIC_CVPR20/submission.html

EPIC@CVPR2020 Organisers:

Walterio Mayol Cuevas, University of Bristol, UK and Amazon, USA 

Hazel Doughty, University of Bristol, UK

Dima Damen, University of Bristol, UK

Antonino Furnari, University of Catania, Italy

David Crandall, Indiana University, Bloomington, IN, USA 

Giovanni Maria Farinella, University of Catania, Italy 

Kristen Grauman, University of Texas at Austin and Facebook AI Research, USA