ReSiReg improves spatial consistency across various VLM with dense language grounding. Preprint: https://arxiv.org/abs/2606.19088
Simon Schwaiger PRO
SimonSchwaiger
AI & ML interests
Researcher @ UAS Technikum Wien and CS PhD Student @ Graz University of Technology, working on semantic mapping and in the wild open-language robot control.
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liked a dataset about 7 hours ago
stanfordnlp/colorswap upvoted a paper about 13 hours ago
ReSiReg: Towards Spatially Consistent Semantics in Language-Conditioned Robotic Tasks liked a Space 1 day ago
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