[visionlist] competitions at FG 2020

Daniel Acevedo dacevedo at dc.uba.ar
Mon Nov 4 16:31:44 -04 2019

*** Please accept our apologies if you receive multiple copies of this 
CfP ***

We invite you to participate in the open competitionsat The 15th IEEE 
International Conference on Automatic Face and Gesture Recognition (FG 
2020) that will be held in Buenos Aires, Argentina, 18-22 May 2020.

Accepted Competitions:


    2020 ChaLearn LAP Workshop FG: Identity-preserving human detection


    EmoPain Face and Movement Behaviour Challenge


    4th Recognizing Families In the Wild (RFIW)


    Joint Challenge on Compound Emotion Recognition and Multimodal
    (Audio, Facial and Gesture) based Emotion Recognition (CER\&MMER)


    Affective Behavior Analysis in-the-wild

Check for more information at https://fg2020.org/competitions/

** 2020 ChaLearn LAP Workshop FG: Identity-preserving human detection 
(IPHD) **

Participants will be asked to automatically produce human detections on 
depth and/or radiometric thermal images ïn the form of 2D bounding box 
locations. These two visual modalities preserve subjects’ identity to a 
large extent while still providing rich human-related features: shape 
and absolute temperature. We provide a dataset consisting of more than 
100K multimodal frames, which are a mix of close-range in-the-wild 
pedestrian scenes and indoor ones with people performing basic actions 
in scripted scenarios. The competition is divided into 3 tracks, so the 
participants can choose to participate in one or more and will be asked 
to exploit different input data for the task: (1) only depth, (2) only 
thermal, and (3) both depth and thermal (spatially registered to depth).

Competition website: http://chalearnlap.cvc.uab.es/challenge/34/description/

Competition start-ending: November 26th, 2019 — February 4th, 2020


- Albert Clapés, Computer Vision Center (Universitat Autònoma de 
Barcelona), aclapes at cvc.uab.es

- Carla Morral, Universitat de Barcelona, carla.morral at gmail.com

- Julio C. S. Jacques Junior, Universitat Oberta de Catalunya & Computer 
Vision Center (Universitat Autònoma de Barcelona), juliojj at gmail.com

- Sergio Escalera,  Universitat de Barcelona & Computer Vision Center 
(Universitat Autònoma de Barcelona), sergio at maia.ub.es

** EmoPain Face and Movement Behaviour Challenge **

The EmoPain Face and Movement Behaviour Challenge is based on the 
EmoPain dataset captured from chronic pain patients and healthy 
participants performing movement exercises. The challenge consists of 
three tasks to choose from: ‘Pain Intensity Estimation from Facial 
Expressions’, ‘Pain Level Recognition from Multimodal Movement Data’, 
‘Multimodal Movement Behaviour Classification’. The challenge is an 
opportunity to contribute to solving the challenging problem of 
automatic detection of pain behaviours and pain levels during movement 
performance. This is fundamental to the development of technology that 
improves the quality and quantity of engagement in valued everyday 
activities for people with chronic pain by providing tailored support to 
the specific barriers that arise.

Competition website: https://mvrjustid.github.io/EmoPainChallenge2020/

Competition start-ending dates:  October 2019 – Jan 17, 2020

General Chairs:

- Prof Nadia Berthouze, UCL

- Dr. Amanda Williams, UCL,

- Dr Michel Valstar, University of Nottingham,

- Dr Hongying Meng, Brunel University London,

- Dr Min Aung, University of East Anglia,

- Dr Nicholas Lane, University of Oxford.

Data Chairs:

- Dr Joy Egede, University of Nottingham,

- Dr Olugbade Temitayo, UCL,

- Wang Chongyang , UCL,

- Siyang Song, University of Nottingham.

** 4th Recognizing Families In the Wild (RFIW) **

We are pleased to kick-off the 4th RFIW data challenge workshop in 
conjunction with 2020 IEEE AMFG conference.

New this year:

Support 3 tasks (2 new)– upon successful Kaggle competition, where many 
obtained impressive verification results, we see it as time for newer, 
more practical challenges (i.e. large-scale tri-subject verification and 
search & retrieval for relatives of missing children).

Call for novel work in automatic kinship recognition (i.e. general paper 

Brave New Ideas: new ways of viewing problem and its formulation. 
Special attention for inter-disciplinary work and innovative use-cases.

Major release of FIW (v1.1.0)

Submissions will be peer-reviewed for the proceedings of 4th RFIW 
workshop at 2020 AMFG– papers will be accepted as orals and posters

Competition website: https://web.northeastern.edu/smilelab/rfiw2020/

Competition start-ending dates: October 18, 2019


Joseph Robinson robinson.jo at husky.neu.edu. Department of Electrical and 
Computer Engineering, Northeastern University, Boston, MA, USA

** Joint Challenge on Compound Emotion Recognition and Multimodal 
(Audio, Facial and Gesture) based Emotion Recognition (CER&MMER) **

Emotion recognition has a key role in affective computing. People 
express emotions through different modalities. Expanding the  focus to 
several expression forms can facilitate research on emotion recognition 
as well as human-machine interaction. This competition focuses on two 
important problems which are: (1) recognition of compound emotions, that 
require, in addition to performing an effective visual analysis, to deal 
with recognition of micro emotions. The database includes 31250 facial 
faces with different emotions of 115 subjects; (2) recognition of 
multimodal emotions composed of three modalities, namely, facial 
expressions, body movement and gestures, and speech.

Competitions dates:

- 5th Nov, 2019: Beginning of the quantitative competition, release of 
development and data.

- 10th Feb, 2020: Deadline for code submission.

- 22nd Feb, 2020: Release of final evaluation data decryption key. 
Participants start predicting the results on the final evaluation data.

- 23rd Feb, 2020: Contest paper submission deadline.

Check for more deadlines at 


- Gholamreza Anbarjafari

- Sergio Escalera

- Kamal Nasrollahi

- Thomas B. Moeslund

- Dorota Kiaminska

- Cagri Ozcinar

- Tomasz Spanski

- Juri Allik

** Affective Behavior Analysis in-the-wild **

Representing human emotions has been a basic topic of research. The most 
usual emotion representation (ER) is the categorical one (7 basic 
categories). Discrete ER can also be described in terms of the FACS 
model, in which all possible facial actions are described in terms of 
Action Units (AUs). Finally, the dimensional model of affect -with 
valence and arousal (VA) being the most usual representations- has been 
proposed to distinguish between subtly different displays of affect and 
encode small changes in the intensity of each emotion on a continuous 
scale. This Competition is split into 3 Challenges: i) VA estimation, 
ii) 7 basic emotion classification, iii) AU detection. These Challenges 
use the Aff-Wild2, the first comprehensive benchmark for all 3 affect 
recognition tasks in-the-wild

Competition website:


Competition start-ending dates:

- 01 Nov 2019: Call for participation announced; start of Competition

- 14 Feb 2020: Results and Paper submission deadline

- 21 Feb 2020: End of review; Decisions sent to authors; Winner announcement

- 28 Feb 2020: Camera ready versions deadline

- 5 Mar 2020: End of Competition


- Stefanos Zafeiriou, Imperial College London, UK 
(s.zafeiriou at imperial.ac.uk)

- Dimitrios Kollias, Imperial College London, UK 
(dimitrios.kollias15 at imperial.ac.uk)

- Attila Schulc,  Realeyes (attila.schulc at realeyesit.com)

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