Large-scale 2018 - First Workshop on Large-scale Emotion Recognition and Analysis

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 FG aims to transfer current research focus on small-scale, lab based environment to real-world, large-scale corpus.
Organizers:
Abhinav Dhall, Indian Institute of Technology, Ropar
Yelin Kim, State University of New York, Albany
Qiang Ji, Rensselaer Polytechnic Institute