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Generalizing physical prediction by composing forces and objects.

, , , and . CogSci, cognitivesciencesociety.org, (2022)

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Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties., , , , , , , , and . CoRR, (2023)Physion: Evaluating Physical Prediction from Vision in Humans and Machines., , , , , , , , , and 5 other author(s). NeurIPS Datasets and Benchmarks, (2021)Learning Dense Correspondences between Photos and Sketches., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 22899-22916. PMLR, (2023)Mapping core similarity among visual objects across image modalities., , , and . SIGGRAPH Posters, page 67:1. ACM, (2014)Consistency and Variation in Reasoning About Physical Assembly., , and . Cogn. Sci., (December 2023)Improvised Numerals Rely on 1-to-1 Correspondence., , and . CogSci, cognitivesciencesociety.org, (2021)Learning part-based abstractions for visual object concepts., , and . CogSci, cognitivesciencesociety.org, (2021)Learning to communicate about shared procedural abstractions., , , , and . CogSci, cognitivesciencesociety.org, (2021)Measuring and predicting variation in the interestingness of physical structures., , , , , and . CogSci, cognitivesciencesociety.org, (2021)Common Object Representations for Visual Production and Recognition., , and . Cogn. Sci., 42 (8): 2670-2698 (2018)