Spatial-temporal graph-based AU relationship learning for facial action unit detection
This paper presents our Facial Action Units (AUs) detection submission to the fifth Affective
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …
Spatio-temporal au relational graph representation learning for facial action units detection
This paper presents our Facial Action Units (AUs) detection submission to the fifth Affective
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …
Reversible graph neural network-based reaction distribution learning for multiple appropriate facial reactions generation
Generating facial reactions in a human-human dyadic interaction is complex and highly
dependent on the context since more than one facial reactions can be appropriate for the …
dependent on the context since more than one facial reactions can be appropriate for the …
SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation
Exploring user-item interaction cues is crucial for the performance of recommender systems.
Explicit investigation of interaction cues is made possible by using graph-based models …
Explicit investigation of interaction cues is made possible by using graph-based models …
Facial expression recognition in the wild using face graph and attention
H Kim, JH Lee, BC Ko - Ieee Access, 2023 - ieeexplore.ieee.org
Facial expression recognition (FER) in the wild from various viewpoints, lighting conditions,
face poses, scales, and occlusions is an extremely challenging field of research. In this …
face poses, scales, and occlusions is an extremely challenging field of research. In this …
Unifarn: Unified transformer for facial reaction generation
We propose the Unified Transformer for Facial Reaction GeneratioN (UniFaRN) framework
for facial reaction prediction in dyadic interactions. Given the video and audio of one side …
for facial reaction prediction in dyadic interactions. Given the video and audio of one side …
React2023: The first multiple appropriate facial reaction generation challenge
The Multiple Appropriate Facial Reaction Generation Challenge (REACT2023) is the first
competition event focused on evaluating multimedia processing and machine learning …
competition event focused on evaluating multimedia processing and machine learning …
Domain Separation Graph Neural Networks for Saliency Object Ranking
Saliency object ranking (SOR) has attracted significant attention recently. Previous methods
usually failed to explicitly explore the saliency degree-related relationships between objects …
usually failed to explicitly explore the saliency degree-related relationships between objects …
Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?
According to the Stimulus Organism Response (SOR) theory, all human behavioral
reactions are stimulated by context, where people will process the received stimulus and …
reactions are stimulated by context, where people will process the received stimulus and …
Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition
Human facial action units (AUs) are mutually related in a hierarchical manner as not only
they are associated with each other in both spatial and temporal domains but also AUs …
they are associated with each other in both spatial and temporal domains but also AUs …