An Efficient Three-Dimensional Convolutional Neural Network for Inferring Physical Interaction Force from Video
- DOI
- 10.3390/s19163579
- Published
- 2019-08-17
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s19163579,
title = {An Efficient Three-Dimensional Convolutional Neural Network for Inferring Physical Interaction Force from Video},
author = {Dongyi Kim and Hyeon Cho and Hochul Shin and Soo-Chul Lim and Wonjun Hwang},
year = {2019},
journal = {Sensors},
doi = {10.3390/s19163579},
url = {https://doi.org/10.3390/s19163579}
}RIS
TY - JOUR TI - An Efficient Three-Dimensional Convolutional Neural Network for Inferring Physical Interaction Force from Video AU - Dongyi Kim AU - Hyeon Cho AU - Hochul Shin AU - Soo-Chul Lim AU - Wonjun Hwang PY - 2019 JO - Sensors DO - 10.3390/s19163579 UR - https://doi.org/10.3390/s19163579 ER -
APA
Kim, D., Cho, H., Shin, H., Lim, S., & Hwang, W. (2019). An Efficient Three-Dimensional Convolutional Neural Network for Inferring Physical Interaction Force from Video. Sensors. https://doi.org/10.3390/s19163579
Source records
- crossref · retrieved 2026-09-24T22:14:52.598Z