← Search

Zhengjia Huang

2 accepted papers

2017

Generative Modeling of Audible Shapes for Object Perception

ICCV 2017poster

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, we present a…

Cited by 44PDFScholar
2017

Shape and Material from Sound

NeurIPS 2017spotlight

Hearing an object falling onto the ground, humans can recover rich information including its rough shape, material, and falling height. In this paper, we build machines to approximate such competency. We first mimic human knowledge of the physical world by building an efficient, physics-based simula…

Cited by 36SourcePDFScholar