2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction
Andrew Jun Lee, Taylor Webb, Trevor Bihl +2
The ability to learn new visual concepts from limited examples is a hallmark of human cognition. While traditional category learning models represent each example as an unstructure…
cs.CV2025
Evaluating Compositional Scene Understanding in Multimodal Generative Models
Shuhao Fu, Andrew Jun Lee, Anna Wang +4
The visual world is fundamentally compositional. Visual scenes are defined by the composition of objects and their relations. Hence, it is essential for computer vision systems to…
cs.CV2022★ 2 cited
Zero-shot visual reasoning through probabilistic analogical mapping
Taylor W. Webb, Shuhao Fu, Trevor Bihl +2
Human reasoning is grounded in an ability to identify highly abstract commonalities governing superficially dissimilar visual inputs. Recent efforts to develop algorithms with this…