Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling
- DOI
- 10.1016/j.neunet.2026.108771
- Published
- 2026-07
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.108771,
title = {Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling},
author = {Rokia Abdein and Wei Li and Yidan Chen and Chenghao Li and Sumi Helal and Moustafa Youssef},
year = {2026},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.108771},
url = {https://doi.org/10.1016/j.neunet.2026.108771}
}RIS
TY - JOUR TI - Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling AU - Rokia Abdein AU - Wei Li AU - Yidan Chen AU - Chenghao Li AU - Sumi Helal AU - Moustafa Youssef PY - 2026 JO - Neural Networks DO - 10.1016/j.neunet.2026.108771 UR - https://doi.org/10.1016/j.neunet.2026.108771 ER -
APA
Abdein, R., Li, W., Chen, Y., Li, C., Helal, S., & Youssef, M. (2026). Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling. Neural Networks. https://doi.org/10.1016/j.neunet.2026.108771
Source records
- crossref · retrieved 2026-09-26T10:39:42.144Z