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cs.CV2026
Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach
Anderson Augusma
This thesis addresses group emotion recognition (GER) in-the-wild with a focus on privacy preservation. Unlike traditional emotion recognition methods that rely on individual-level…
cs.CV2026
Variational Encoder--Multi-Decoder (VE-MD) for Privacy-by-functional-design (Group) Emotion Recognition
Anderson Augusma, Dominique Vaufreydaz, Fédérique Letué
Group Emotion Recognition (GER) aims to infer collective affect in social environments such as classrooms, crowds, and public events. Many existing approaches rely on explicit indi…
cs.CV2024
Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization
Sotheara Leang, Anderson Augusma, Eric Castelli +3
Human speech conveys prosody, linguistic content, and speaker identity. This article investigates a novel speaker anonymization approach using an end-to-end network based on a Vect…