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Yassine Ouzar

2 papers indexed

arxivcs.CV2026-07-17

Multimodal Ambivalence and Hesitancy Recognition via Cross-Attention and Gated Fusion

Oussama Berhili, Yassine Ouzar, Larbi Boubchir

We present a multimodal framework for Ambivalence/Hesitancy (A/H) recognition in video, developed for the ABAW11 challenge at ECCV 2026. The proposed approach fuses textual, acoustic, and visual modalities extracted from the BAH dataset using three pretrained encoders: F2LLM-v2-0…

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arxivcs.CVcs.AIeess.SP2026-07-10

Towards Objective Dysgraphia Detection: A Multi-Branch Deep Learning Approach for Online Handwriting Analysis

Lydia Ouhib, Yassine Ouzar, Zoé Pinseel, Stéphane Bouilland, Mehdi Ammi

Dysgraphia is a specific learning disability that is prevalent among school-age children. It affects handwriting coherence, quality, fluency, and legibility, often hindering academic achievement and early learning development. This motor coordination disorder is typically diagnos…

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