2 citations · 4 across the 9 of their papers we have counts for
9 papers
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…
CL-UZH submission to the NIST SRE 2024 Speaker Recognition Evaluation
Aref Farhadipour, Shiran Liu, Masoumeh Chapariniya +4
The CL-UZH team submitted one system each for the fixed and open conditions of the NIST SRE 2024 challenge. For the closed-set condition, results for the audio-only trials were ach…
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…
Comparative Analysis of Modality Fusion Approaches for Audio-Visual Person Identification and Verification
Aref Farhadipour, Masoumeh Chapariniya, Teodora Vukovic +1
Multimodal learning involves integrating information from various modalities to enhance learning and comprehension. We compare three modality fusion strategies in person identifica…
Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptation
Arash Khajooeinejad, Fatemeh Sadat Masoumi, Masoumeh Chapariniya
Hierarchical Reinforcement Learning (HRL) is well-suitedd for solving complex tasks by breaking them down into structured policies. However, HRL agents often struggle with efficien…