2 papers
cs.CV2026
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, acoust…
cs.CV2026
Towards Objective Dysgraphia Detection: A Multi-Branch Deep Learning Approach for Online Handwriting Analysis
Lydia Ouhib, Yassine Ouzar, Zoé Pinseel +2
Dysgraphia is a specific learning disability that is prevalent among school-age children. It affects handwriting coherence, quality, fluency, and legibility, often hindering academ…