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TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction
Research article (2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), 2021) · cited 40× · AI/ML
TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction
Summary
TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction is a scholarly article[1].
Key Facts
TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/trouspi-net-spatio-temporal-attention-on-parallel-atrous-convolutions-and-u-grus-for-skeletal-pedestrian-crossing-predic
MLA“TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/trouspi-net-spatio-temporal-attention-on-parallel-atrous-convolutions-and-u-grus-for-skeletal-pedestrian-crossing-predic.
BibTeX@misc{4ortxyz_trouspi-net-spatio-temporal-attention-on-parallel-atrous-convolutions-and-u-grus-for-skeletal-pedestrian-crossing-predic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction}}, year = {2026}, url = {https://4ort.xyz/entity/trouspi-net-spatio-temporal-attention-on-parallel-atrous-convolutions-and-u-grus-for-skeletal-pedestrian-crossing-predic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction — https://4ort.xyz/entity/trouspi-net-spatio-temporal-attention-on-parallel-atrous-convolutions-and-u-grus-for-skeletal-pedestrian-crossing-predic (retrieved 2026-05-24)
