History Encoding Representation Design for Human Intention Inference
Computer Vision and Pattern Recognition
2021-06-07 v1
Abstract
In this extended abstract, we investigate the design of learning representation for human intention inference. In our designed human intention prediction task, we propose a history encoding representation that is both interpretable and effective for prediction. Through extensive experiments, we show our prediction framework with a history encoding representation design is successful on the human intention prediction problem.
Cite
@article{arxiv.2106.02222,
title = {History Encoding Representation Design for Human Intention Inference},
author = {Zhuo Xu and Masayoshi Tomizuka},
journal= {arXiv preprint arXiv:2106.02222},
year = {2021}
}