Topics
The workshop solicites papers on general topics related to human behavior understanding, but with a distinct focus on multi-source solutions. Topics of interest include, but are not limited to:
- Multimodal solutions for human behavior modeling and analysis,
- Multimodal solutions towards behavioral biometrics (gait, handwriting, keystroke dynamics, etc.),
- Methods for multi-instance learning in behavioral understanding,
- Analysis of multi-participant settings and of social interactions,
- Multi-instance representation for characterizing human health, empathy,
- Deep learning for multi-party interactions,
- Multimodal deep learning for behavior understanding,
- Adversarial learning approaches,
- Related sensor technologies,
- Information fusions approaches for behavior analysis,
- Realistic behavior synthesis in multiple modalities and for multi-party settings,
- Mobile and wearable systems for behavior monitoring,
- Datasets and benchmarks,
- Related applications.