activity
20242026
collaborators

15 papers

cs.CV2026

TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMs

Muhammad Haseeb Aslam, Alessandro Koerich, Marco Pedersoli +2

Large video-language models (LVLMs) have shown remarkable performance on multimodal tasks like multimodal emotion recognition (ER) in the wild. ER is inherently multimodal, requiri…

cs.CV2026

Test-Time Adaptation with Online Personalized Energy-Based Cache for Fine-Grained Video Expression Recognition

Masoumeh Sharafi, Muhammad Osama Zeeshan, Soufiane Belharbi +3

Facial expression recognition (FER) in videos is challenging because models must identify subtle, temporally evolving affective states that vary across individuals. Although vision…

cs.CV2026

Test-Time Adaptation via Cache Personalization for Facial Expression Recognition in Videos

Masoumeh Sharafi, Muhammad Osama Zeeshan, Soufiane Belharbi +3

Facial expression recognition (FER) in videos requires model personalization to capture considerable variations across subjects. Vision-language models (VLMs) offer strong transfer…

cs.CV2026

Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions

Manuela González-González, Soufiane Belharbi, Muhammad Osama Zeeshan +8

Using behavioural science, health interventions focus on behaviour change by providing a framework to help patients acquire and maintain healthy habits that improve medical outcome…

cs.CV2026

CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition

Muhammad Osama Zeeshan, Masoumeh Sharafi, Benoit Savary +3

Personalization in emotion recognition (ER) is essential for accurate interpretation of subtle and subject-specific expressive patterns. Recent advances in vision-language models (…

cs.CV2026

BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change

Manuela González-González, Soufiane Belharbi, Muhammad Osama Zeeshan +6

Ambivalence and hesitancy (A/H), closely related constructs, are the primary reasons why individuals delay, avoid, or abandon health behaviour changes. They are subtle and conflict…