Search Results for author: Lingjie Mei

Found 3 papers, 2 papers with code

FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations

no code implementations ICLR 2022 Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum

We present a meta-learning framework for learning new visual concepts quickly, from just one or a few examples, guided by multiple naturally occurring data streams: simultaneously looking at images, reading sentences that describe the objects in the scene, and interpreting supplemental sentences that relate the novel concept with other concepts.

Meta-Learning Novel Concepts +1

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations

1 code implementation NeurIPS 2019 Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth Spelke, Josh Tenenbaum, Tomer Ullman

We also present a new test set for measuring violations of physical expectations, using a range of scenarios derived from developmental psychology.

Scene Understanding

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