TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction

2 September 2021

Papers citing "TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction"

3 / 3 papers shown

Title
GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction Chen Xie Ciyun Lin Xiaoyu Zheng Bowen Gong Dayong Wu ViT 31 0 0 30 Sep 2024
Agreeing to Cross: How Drivers and Pedestrians Communicate Amir Rasouli Iuliia Kotseruba John K. Tsotsos 3DV 41 191 0 12 Feb 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 198 7,816 0 13 Jun 2015