[visionlist] CFP: IEEE FG18 Workshop on Large scale Emotion Recognition and Analysis (LERA)

[abhinav dhall]

[apologies if you received multiple copies]

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Call for papers

First Workshop on Large scale Emotion Recognition and Analysis (LERA),

IEEE Automatic Faces & Gesture Recognition 2018, Xi’an, China.



Extended Paper Submission Deadline: 28th January, 2018



https://sites.google.com/view/lera2018

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With the advancement in social computing, multimedia, and sensing
technology, the amount of emotionally relevant data has grown enormously.
It becomes crucial for the affective computing community to develop new
methods for understanding emotion conveyed by the media and the emotion
felt by the user at a large scale. This workshop invites researchers to
submit their original work proposing methods to create data and new
methodologies for large-scale analysis. Much development has been observed
in the computer vision community after large-scale databases such as the
ImageNet and MS COCO have been released. The first LERA workshop at FG18
aims to transfer current research focus on small-scale, lab based
environment to real-world, large-scale corpus.



Topics for the workshop include but are not limited to:

1. Large scale data collection and annotation

2. Large scale emotion recognition in the wild

3. Big data approaches for emotion recognition

4. Face tracking and affect analysis in videos

5. Group-level emotion recognition

6. Fusion techniques for audio-visual/physiological signals

7. Localization & identification of salient affect signals

8. Applications in education, entertainment & healthcare



Timeline:

Paper submission deadline: 28th January (Extended!)

Paper acceptance notification: 7th February 2018

Camera ready deadline: 15th February 2018



Organizers:

Abhinav Dhall, Indian Institute of Technology, Ropar

Yelin Kim, State University of New York, Albany

Qiang Ji, Rensselaer Polytechnic Institute


-- 
Abhinav Dhall, PhD
Assistant Professor,
Indian Institute of Technology, Ropar
Webpage: https://goo.gl/5LrRB7
Google Scholar: https://goo.gl/iDwNTx
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