11 citations · 17 across the 4 of their papers we have counts for
4 papers · 1 filter
Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers
Satoshi Tsutsui, David Crandall, Chen Yu
We analyze egocentric views of attended objects from infants. This paper shows 1) empirical evidence that children's egocentric views have more diverse distributions compared to ad…
A Computational Model of Early Word Learning from the Infant's Point of View
Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza +2
Human infants have the remarkable ability to learn the associations between object names and visual objects from inherently ambiguous experiences. Researchers in cognitive science…
A Self Validation Network for Object-Level Human Attention Estimation
Zehua Zhang, Chen Yu, David Crandall
Due to the foveated nature of the human vision system, people can focus their visual attention on a small region of their visual field at a time, which usually contains only a sing…
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza +2
Inspired by the remarkable ability of the infant visual learning system, a recent study collected first-person images from children to analyze the `training data' that they receive…