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20172022
most citedFERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge

7 citations · 18 across the 7 of their papers we have counts for

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cs.CV20213 cited

Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition

Siyang Song, Zilong Shao, Shashank Jaiswal +3

This approach builds on two following findings in cognitive science: (i) human cognition partially determines expressed behaviour and is directly linked to true personality traits;…

cs.CV2021

Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition

Enrique Sanchez, Mani Kumar Tellamekala, Michel Valstar +1

Temporal context is key to the recognition of expressions of emotion. Existing methods, that rely on recurrent or self-attention models to enforce temporal consistency, work on the…

cs.CV2020

A recurrent cycle consistency loss for progressive face-to-face synthesis

Enrique Sanchez, Michel Valstar

This paper addresses a major flaw of the cycle consistency loss when used to preserve the input appearance in the face-to-face synthesis domain. In particular, we show that the ima…

cs.CV20201 cited

A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation

Ioanna Ntinou, Enrique Sanchez, Adrian Bulat +2

Action Units (AUs) are geometrically-based atomic facial muscle movements known to produce appearance changes at specific facial locations. Motivated by this observation we propose…

cs.CV2020

EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions

Joy O. Egede, Siyang Song, Temitayo A. Olugbade +7

The EmoPain 2020 Challenge is the first international competition aimed at creating a uniform platform for the comparison of machine learning and multimedia processing methods of a…

cs.CV20194 cited

Inferring Dynamic Representations of Facial Actions from a Still Image

Siyang Song, Enrique Sánchez-Lozano, Linlin Shen +2

Facial actions are spatio-temporal signals by nature, and therefore their modeling is crucially dependent on the availability of temporal information. In this paper, we focus on in…