2025
Efficient Prediction of Dense Visual Embeddings via Distillation and RGB-D Transformers
IROS 2025
In domestic environments, robots require a comprehensive understanding of their surroundings to interact effectively and intuitively with untrained humans. In this paper, we propose DVEFormer – an efficient RGB-D Transformer-based approach that predicts dense text-aligned visual embeddings (DVE) via