4th INTERNATIONAL SCHOOL ON DEEP LEARNING
DeepLearn 2021 Winter
Milan, Italy
January 11-15, 2021
Co-organized by:
Department of Information Engineering
Marche Polytechnic University
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
https://irdta.eu/deeplearn2021w/
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August 13th, 2020 
Daniela Lopez de Luise
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Deadline Extended to August 20 : Call Face and Gesture Analysis for Health Informatics Workshop, FGAHI @ ICMI 2020
August 13th, 2020 Daniela Lopez de Luise The 3rd workshop on Face and Gesture Analysis for Health Informatics (FGAHI) will be held in conjunction with ICMI 2020, October 25th – 29th, Utrecht, the Netherlands. The workshop aims to discuss the strengths and major challenges in using computer vision and machine learning of automatic face and gesture analysis for clinical research and healthcare applications. We invite scientists working in related areas of computer vision and machine learning for face and gesture analysis, affective computing, human behavior sensing, and cognitive behavior to share their expertise and achievements in the emerging field of computer vision and machine learning based face and gesture analysis for health informatics.
Topics of interest include, but are not limited to:
- Facial expression analysis and recognition for healthcare
- Human gesture (head and body movement) analysis for healthcare
- Remote physiological sensing for healthcare
- Human-Computer Interaction systems for healthcare
- Deep learning based multi-modal signal analysis for healthcare applications
- Multi-modal (visual, verbal, and/or physiological) fusion for healthcare applications
- Clinical protocols for face and gesture analysis and modeling in clinical context
- Applications include but are not limited to: pain intensity measurement, assessment of depression symptoms and severity, assessment of anxiety symptoms, bipolar disorder severity assessment, and autism screening.
Important dates
Deadline for workshop paper submission: August 20, 2020
Decisions released to authors: August 30th, 2020
Deadline for camera-ready submission: September, 2020
Organizers:
Di Huang, Beihang University, China
Zakia Hammal, Carnegie Mellon University, USA
Liming Chen, Ecole Centrale De Lyon, France
Mohamed Daoudi, IMT Lille Douai, France
Kévin Bailly, Sorbonne University, France
1st CallParticipation: MediaEval 2020 Predicting Media Memorability Task
August 13th, 2020 Daniela Lopez de Luise *******************************************************
Predicting Media Memorability Task
2020 MediaEval Benchmarking Initiative for Multimedia Evaluation
https://multimediaeval.github.io/editions/2020/tasks/memorability/
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Register here to participate:
https://docs.google.com/forms/d/e/1FAIpQLSfxS4LPBhLQUTXSPT5vogtiSy7BuAKrPs6u6pZXcSV1Xs7XEQ/viewform
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Help us with the annotations:
https://annotator.uk/mediaeval/index.php
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The Predicting Media Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered.
Participants will be provided with an extensive data set of videos with memorability annotations, and pre-extracted state-of-the-art visual features. The ground truth has been collected through recognition tests, and, for this reason, it reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorisation, the data set comes with short-term and long-term memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorisation, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications.
Participants will be required to train computational models capable of inferring video memorability from visual content. Models will be evaluated through standard evaluation metrics used in ranking tasks.
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Target communities
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Researchers will find this task interesting if they work in the areas of human perception and scene understanding, such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, machine learning (though not limited to).
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Data & ground truth
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Data is composed of 6,000 short videos retrieved from TRECVid 2019 Video to Text data set. Each video consists of a coherent unit in terms of meaning and is associated with two scores of memorability that refer to its probability to be remembered after two different durations of memory retention. Similar to previous editions of the task, memorability has been measured using recognition tests, i.e., through an objective measure, a few minutes after the memorisation of the videos (short term), and then 24 to 72 hours later (long term). The videos are shared under Creative Commons licenses that allow their redistribution. They come with a set of pre-extracted features, such as: Aesthetic Features, C3D, Captions, Colour Histograms, HMP, HoG, Fc7 layer from InceptionV3, LBP, or ORP. In comparison to the videos used in this task in 2018 and 2019, the TRECVid videos have much more action happening in them and thus are more interesting for subjects to view.
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MediaEval Workshop
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Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held online in early December 2020. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org).
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Important dates (tentative)
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(open) Participant registration: July
Development data release: 21 August
Test data release: 21 September
Runs due: 15 October
Working notes papers due: 30 November
MediaEval Workshop, online: Early December
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Task coordination
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Alba Garcia Seco de Herrera, Rukiye Savran Kiziltepe, Faiyaz Doctor, University of Essex, UK
Mihai Gabriel Constantin, Bogdan Ionescu, University Politehnica of Bucharest, Romania
Alan Smeaton, Graham Healy, Dublin City University, Ireland
Claire-Helene Demarty, InterDigital, France
On behalf of the Organizers,
Dr Alba García Seco de Herrera PhD
Lecturer
Department of Computer Science and Electronic Engineering (CSEE)
University of Essex
T +44 (0) 1206 872907
WE ARE ESSEX
Call for Workhsop Proposals for WACV 2021
August 13th, 2020 Daniela Lopez de Luise http://wacv2021.thecvf.com/
We invite workshop proposals for the 2021 IEEE Winter Conference of
Applications on Computer Vision (WACV 2021). Due to the COVID-19
pandemic, accepted workshops will be held online as virtual events.
The workshop proposals should focus on topics related to computer vision
and its applications, interdisciplinary themes with other scientific and
application areas, as well as emerging challenges or competitions. The
format, style, and content of accepted workshops are under the control
of the workshop organizers and largely autonomous from the main
conference. Workshop organizers are expected to manage their technical
programs, invite experts in the domain, and maintain a website for the
workshop. Workshop registration and logistics will be handled by the
main conference.
*** Important Dates ***
Workshop proposal deadline: September 7th, 2020
Workshop acceptance notification: September 10th, 2020
*** Submission Instructions ***
Proposals should clearly specify the following:
+ Workshop title, topic and tentative call for papers
+ Motivation, impact, and expected outcomes
+ Brief bios of organizers (including email and web pages)
+ Tentative program committee
+ Format (select either half or full day) and preliminary schedule
+ Tentative invited speakers
+ Estimated number of submissions and attendees
+ Plans (if any) for a special journal issue or book
Workshop proposals should be submitted in PDF via email to the Workshops
Co-Chairs (vitomir.struc@fe.uni-lj.si and betke@bu.edu). Proposals will
be evaluated by the workshop chairs and conference organizers, with an
eye towards selecting high-quality workshops on a diverse set of topics
that will inform and inspire the community.
*** Contact***
For questions and concerns, please contact
Margrit Betke (betke@bu.edu) and Vitomir Štruc (vitomir.struc@fe.uni-lj.si)
Workshops Co-Chairs WACV 2021