[visionlist] ChaLearn Looking at People Inpainting and Denoising: Challenge, ECCV Satellite, Springer Proceedings and IEEE TPAMI Special Issue

[Sergio Escalera]

Call for Participation: ChaLearn Looking at People Inpainting and Denoising
events:

Challenge and ECCV 2018 Satellite Event - Registration FREE

Associated Springer book chapter publication of best works and IEEE TPAMI
Special Issue

Sponsoring: prizes from Google, Disney Research, Amazon, and ChaLearn

***********************************************************************
CALL FOR PARTICIPATION
ChaLearn Looking at People Inpainting Challenge 2018

ECCV Satellite Event
Sep. 9th 2018, Munich,
https://www.hi-hotel-muenchen.de/en/munich-conference-hotel/, 130m from
main ECCV venue.
Competition webpage: http://chalearnlap.cvc.uab.es/challenge/26/description/

Satellite event webpage:
http://chalearnlap.cvc.uab.es/workshop/29/description/

IEEE TPAMI Special Issue webpage:
http://chalearnlap.cvc.uab.es/special-issue/30/description/

************************************************************************

We are organizing an academic competition and ECCV 2018 Satellite event in
the context of inpainting of images and video sequences. Inpainting refers
to replacing missing parts in an image (or video). The problem of dealing
with missing data or incomplete data in machine learning and computer
vision arises in many applications. Recent strategies make use of
generative models to impute missing or corrupted data. Advances in computer
vision using deep generative models have found  applications in image/video
processing, such as denoising, restoration, super-resolution, or
inpainting. We focus on image and video inpainting tasks, that might
benefit from novel methods such as Generative Adversarial Networks (GANs)
or Residual connections. Solutions to the inpainting problem may be useful
in a wide variety of computer vision tasks.


We propose a challenge that aims at compiling the latest efforts and
research advances from the computational intelligence community in creating
fast and accurate inpainting algorithms. The methods will be evaluated on
large, newly collected and annotated datasets related to three realistic
scenarios in visual inpainting:

Track 1. Image inpainting to recover missing parts of human body

https://competitions.codalab.org/competitions/18423

Track 2. Video inpainting to remove overlayed text in video clips

https://competitions.codalab.org/competitions/18421

Track 3. Image denoising and inpainting for fingerprint verification

https://competitions.codalab.org/competitions/18426

In all cases, the main goal is to generate the visually best possible set
of pixels to obtain a complete image or video clip.

The challenges are running in the CodaLab platform (http://codalab.org/),
and results will be presented at ECCV 2018 Satellite event, 9th Sep. 2018,
Munich, with Springer post-event proceedings. Participants obtaining the
best results will be invited to present their results at this event and
extended versions of best papers to a dedicated Special Issue at IEEE
TPAMI. There will be travel grants and AWS credits for top ranked
participants sponsored by Google, Amazon, Disney Research and ChaLearn.

Sponsors: ChaLearn (http://chalearnlap.cvc.uab.es/ http://www.chalearn.org/),
Google (www.google.com), Amazon (https://www.amazon.com/), Disney Research (
https://www.disneyresearch.com/)

******************************

Important dates (tentative)

******************************

- Competitions schedule:
http://chalearnlap.cvc.uab.es/challenge/26/schedule/

- ECCV Satellite event submission schedule:
http://chalearnlap.cvc.uab.es/workshop/29/schedule/
- Special issue schedule:
http://chalearnlap.cvc.uab.es/special-issue/30/schedule/


***********************

Organizing team

***********************

Sergio Escalera (sergio.escalera.guerrero at gmail.com), Computer Vision
Center & University of Barcelona, Barcelona, Spain

Stephane Ayache, AMU/LIF, France

Jun Wan, Institute of Automation, Chinese Academy of Science (CASIA),
Beijing, China

Florin Popescu, Fraunhofer Institute FOKUS in Berlin, Germany

Umut Güçlü, Radboud University,  Nijmegen, Netherlands

Yağmur Güçlütürk, Radboud University, Nijmegen, Netherlands

Marti Soler, Universitat de Barcelona, Barcelona, Spain

Meysam Madadi, Computer Vision Center, Barcelona, Spain

Xavier Baró, Universitat Oberta de Catalunya, Barcelona, Spain

Isabelle Guyon, ChaLearn, USA, University Paris-Saclay, Paris, France

Ondřej Kanich, Faculty of Information Technology, BUT, Czech Republic

Jan Svoboda, Lugano, Switzerland

Martin Drahansky, Brno University of Technology, Czech Republic

Hugo Jair Escalante, ChaLearn, USA, INAOE, Mexico


-- 

*Dr. Sergio Escalera Guerrero*Head of Human Pose Recovery and Behavior
Analysis Lab
Project Manager at the Computer Vision Center
Director of ChaLearn Challenges in Machine Learning
Associate professor at University of Barcelona / Universitat Oberta de
Catalunya / Aalborg Univ. /
Dalhousie University
Email: sergio.escalera.guerrero at gmail.com / Webpage:
http://www.sergioescalera.com/ <http://www.maia.ub.es/~sergio/>
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