5 citations · 22 across the 25 of their papers we have counts for
6 papers · 1 filter
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…
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…
Modelling the Distribution of Human Motion for Sign Language Assessment
Oliver Cory, Ozge Mercanoglu Sincan, Matthew Vowels +7
Sign Language Assessment (SLA) tools are useful to aid in language learning and are underdeveloped. Previous work has focused on isolated signs or comparison against a single refer…
Real-Time Sign Language Detection using Human Pose Estimation
Amit Moryossef, Ioannis Tsochantaridis, Roee Aharoni +2
We propose a lightweight real-time sign language detection model, as we identify the need for such a case in videoconferencing. We extract optical flow features based on human pose…