3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2023★ 3 cited
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen +6
General physical scene understanding requires more than simply localizing and recognizing objects -- it requires knowledge that objects can have different latent properties (e.g.,…
cs.CV2021★ 1 cited
Visual communication of object concepts at different levels of abstraction
Justin Yang, Judith E. Fan
People can produce drawings of specific entities (e.g., Garfield), as well as general categories (e.g., "cat"). What explains this ability to produce such varied drawings of even h…
cs.CL2019
ShapeGlot: Learning Language for Shape Differentiation
Panos Achlioptas, Judy Fan, Robert X. D. Hawkins +2
In this work we explore how fine-grained differences between the shapes of common objects are expressed in language, grounded on images and 3D models of the objects. We first build…