UMass Machine Learning and Friends Lunch | Main / Computational Perception Of Physical Object Properties

Abstract:

We study the problem of learning physical object properties from unlabeled videos. Inspired by findings in cognitive science that even infants are able to perceive a physical world full of dynamic content, we aim to build models to characterize object properties from synthetic and real-world scenes. In this talk, I will present some models we recently proposed for physical scene understanding, as well as a newly collected video dataset. I will also talk about a behavior study on its potential connection to human perception.

Bio:

Jiajun Wu is a Ph.D. student at Massachusetts Institute of Technology, advised by Professor Bill Freeman and Professor Josh Tenenbaum. His research interests lie on the intersection of computer vision, machine learning, and computational cognitive science. Before coming to MIT, he received his B.Eng. from Tsinghua University, China, advised by Professor Zhuowen Tu. He has also spent time working at research labs of Microsoft, Facebook, and Baidu.