Generative Modeling of Audible Shapes for Object Perception

© 2017 IEEE. Humans infer rich knowledge of objects from both auditory and visual cues. Building a machine of such competency, however, is very challenging, due to the great difficulty in capturing large-scale, clean data of objects with both their appearance and the sound they make. In this paper,...

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Bibliographic Details
Main Authors: Zhang, Zhoutong, Wu, Jiajun, Li, Qiujia, Huang, Zhengjia, Traer, James, McDermott, Josh H., Tenenbaum, Joshua B., Freeman, William T.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:https://hdl.handle.net/1721.1/137459