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cs.CV2026
RelateAnything: Real-Time Open-Vocabulary Relation Prediction From Any Inputs
Maëlic Neau
Open-vocabulary detection accepts any class list at inference, and promptable segmentation returns regions without class names: the taxonomy has left the model and become an input.…
cs.CV2026
Visual Commonsense Driven Knowledge Refinements for Scene Graph Generation
Maëlic Neau, Salim Baloch, Jakob Suchan +2
Learning-driven Scene Graph Generation (SGG) models excel on frequent relation types but degrade sharply under annotation sparsity, failing to capture reliable visual commonsense k…
cs.CV2026
REACT++: Efficient Cross-Attention for Real-Time Scene Graph Generation
Maëlic Neau, Zoe Falomir
Scene Graph Generation (SGG) is a task that encodes visual relationships between objects in images as graph structures. SGG shows significant promise as a foundational component fo…