Emotion Recognition for In-the-wild Videos

02/13/2020
by   Hanyu Liu, et al.
0

This paper is a brief introduction to our submission to the seven basic expression classification track of Affective Behavior Analysis in-the-wild Competition held in conjunction with the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020. Our method combines Deep Residual Network (ResNet) and Bidirectional Long Short-Term Memory Network (BLSTM), achieving 64.3

READ FULL TEXT
research
01/30/2020

Analysing Affective Behavior in the First ABAW 2020 Competition

The Affective Behavior Analysis in-the-wild (ABAW) 2020 Competition is t...
research
02/07/2020

M^3T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild

This report describes a multi-modal multi-task (M^3T) approach underlyin...
research
07/09/2021

Seven Basic Expression Recognition Using ResNet-18

We propose to use a ResNet-18 architecture that was pre-trained on the F...
research
02/26/2020

Expression Recognition in the Wild Using Sequence Modeling

As we exceed upon the procedures for modelling the different aspects of ...
research
02/22/2022

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection Multi-Task Learning Challenges

This paper describes the third Affective Behavior Analysis in-the-wild (...
research
11/30/2019

Long Short-Term Network Based Unobtrusive Perceived Workload Monitoring with Consumer Grade Smartwatches in the Wild

Continuous high perceived workload has a negative impact on the individu...
research
02/15/2020

Recognizing Families In the Wild (RFIW): The 4th Edition

Recognizing Families In the Wild (RFIW): an annual large-scale, multi-tr...

Please sign up or login with your details

Forgot password? Click here to reset