Roger Marí

Standard multimodal fusion treats modality weights uniformly across emotional states, but coupling facial geometry with class-adaptive gating and valence-arousal transition priors drives up to a 4.36 F1 gain on conversational emotion tracking.

Season-invariant feature matching can drastically cut down geometric errors in satellite imagery, making GCP-free refinement more reliable than ever.

SeasonStereo achieves LiDAR-level accuracy in 3D reconstruction from multi-date satellite images without the need for expensive aligned datasets or ground-truth labels.