2 citations · 4 across the 9 of their papers we have counts for
6 papers · 1 filter
Micro-Expression-Aware Avatar Fingerprinting via Inter-Frame Feature Differencing
Masoumeh Chapariniya, Jean-Marc Odobez, Volker Dellwo +1
Avatar fingerprinting, i.e., verifying who drives a synthetic talking-head video rather than whether it is real, is a critical safeguard for authorized use of face-reenactment tech…
Foundation Model Embeddings Meet Blended Emotions: A Multimodal Fusion Approach for the BLEMORE Challenge
Masoumeh Chapariniya, Aref Farhadipour, Sarah Ebling +2
We present our system for the BLEMORE Challenge at FG 2026 on blended emotion recognition with relative salience prediction. Our approach combines six encoder families through late…
Investigating Identity Signals in Conversational Facial Dynamics via Disentangled Expression Features
Masoumeh Chapariniya, Pierre Vuillecard, Jean-Marc Odobez +2
This work investigates whether individuals can be identified solely through the pure dynamical components of their facial expressions, independent of static facial appearance. We l…
Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics
Masoumeh Chapariniya, Teodora Vukovic, Sarah Ebling +1
This paper investigates the performance of transformer-based architectures for person identification in natural, face-to-face conversation scenario. We implement and evaluate a two…
Multimodal Emotion Recognition and Sentiment Analysis in Multi-Party Conversation Contexts
Aref Farhadipour, Hossein Ranjbar, Masoumeh Chapariniya +3
Emotion recognition and sentiment analysis are pivotal tasks in speech and language processing, particularly in real-world scenarios involving multi-party, conversational data. Thi…
Two-Stream Spatial-Temporal Transformer Framework for Person Identification via Natural Conversational Keypoints
Masoumeh Chapariniya, Hossein Ranjbar, Teodora Vukovic +2
In the age of AI-driven generative technologies, traditional biometric recognition systems face unprecedented challenges, particularly from sophisticated deepfake and face reenactm…