3 citations · 3 across the 3 of their papers we have counts for
4 papers
GSAM: A Generalizable and Safe Robotic Framework for Articulated Object Manipulation
Beichen Shao, Mengying Xie, Heng Su +5
Articulated object manipulation is a unique challenge for service robots. Existing methods employ end-to-end policy learning, visionmotion planning, and large-language/visual-langu…
What can Computer Vision learn from Ranganathan?
Mayukh Bagchi, Fausto Giunchiglia
The Semantic Gap Problem (SGP) in Computer Vision (CV) arises from the misalignment between visual and lexical semantics leading to flawed CV dataset design and CV benchmarks. This…
From Knowledge Organization to Knowledge Representation and Back
Fausto Giunchiglia, Mayukh Bagchi, Subhashis Das
Knowledge Organization (KO) and Knowledge Representation (KR) have been the two mainstream methodologies of knowledge modelling in the Information Science community and the Artific…
From Knowledge Representation to Knowledge Organization and Back
Fausto Giunchiglia, Mayukh Bagchi
Knowledge Representation (KR) and facet-analytical Knowledge Organization (KO) have been the two most prominent methodologies of data and knowledge modelling in the Artificial Inte…