From the 1 of 3 linked papers with an AI index.
3 papers
Slot-RAE: Streamlining Object-Centric Learning via Direct Representation Auto-Encoders
Alexandre Chapin, Emmanuel Dellandrea, Liming Chen
Slot-RAE is an object‑centric model that learns to decompose and reconstruct scenes directly in the feature space of frozen visual foundation models using a diffusion transformer d…
STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation
Alexandre Chapin, Emmanuel Dellandréa, Liming Chen
Visual foundation models provide strong perceptual features for robotics, but their dense representations lack explicit object-level structure, limiting robustness and controllabil…
Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation
Alexandre Chapin, Bruno Machado, Emmanuel Dellandréa +1
The generalization capabilities of robotic manipulation policies are heavily influenced by the choice of visual representations. Existing approaches typically rely on representatio…