92 citations · 109 across the 6 of their papers we have counts for
6 papers
Action Recognition based on Cross-Situational Action-object Statistics
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng +3
Machine learning models of visual action recognition are typically trained and tested on data from specific situations where actions are associated with certain objects. It is an o…
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…
Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun +5
In this paper, we consider the problem of machine teaching, the inverse problem of machine learning. Different from traditional machine teaching which views the learners as batch a…